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Wu Y, Chen Y, Liu F, Li K. The Immunomodulatory Role of Estrogen in Malaria: A Review of Sex Differences and Therapeutic Implications. Immun Inflamm Dis 2025; 13:e70148. [PMID: 39898752 PMCID: PMC11789271 DOI: 10.1002/iid3.70148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2024] [Revised: 01/09/2025] [Accepted: 01/21/2025] [Indexed: 02/04/2025] Open
Abstract
BACKGROUND Malaria remains a significant global health challenge, with substantial mortality rates, particularly in tropical and subtropical regions. A notable sexual dimorphism exists in malaria, with males often experiencing higher infection and mortality rates compared to females. OBJECTIVE This review explores the role of estrogen in modulating immune responses to malaria, potentially explaining the observed sex differences. Estrogen, through its receptors, influences immune cell activation and cytokine production, which are critical in the immune response to malaria. RESULTS Utilizing data from the Global Burden of Disease (GBD) study, we analyzed sex differences in malaria burden in Central Sub-Saharan Africa from 2000 to 2021, revealing a significantly lower mortality burden for females compared to males. Epidemiological data and animal model results support the notion that estrogen plays a significant role in modulating immune responses to malaria. Estrogen receptors are widely expressed in immune cells, and estrogen can influence the activation, proliferation, and differentiation of these cells, thereby affecting cytokine production and immune response type. Additionally, selective estrogen receptor modulators (SERMs) show potential as therapeutic agents, with some studies demonstrating their efficacy in reducing parasitemia and improving malaria outcomes. CONCLUSION Understanding the sex differences in the pathogenesis of malaria is crucial for its prevention, treatment, and vaccine development. Estrogen's role in immune regulation highlights the need for sex-specific approaches in disease management.
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Affiliation(s)
- Ye Wu
- Department of Pharmacy, Tongji Hospital, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanPeople's Republic of China
| | - Ying‐Chun Chen
- Department of Laboratory Medicine, The Sixth Hospital of WuhanAffiliated Hospital of Jianghan UniversityWuhanPeople's Republic of China
| | - Fang‐Fang Liu
- Department of Pathology, The Central Hospital of Wuhan, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanPeople's Republic of China
| | - Ke Li
- Department of Blood Transfusion, Tongji Hospital, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanPeople's Republic of China
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Lin FH, Chou YC, Hsieh CJ, Huang YC, Yu CP. Epidemiological feature of imported malaria in Taiwan during the 2014-to-2020 period. Medicine (Baltimore) 2025; 104:e41321. [PMID: 39833076 PMCID: PMC11749580 DOI: 10.1097/md.0000000000041321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2024] [Accepted: 01/03/2025] [Indexed: 01/22/2025] Open
Abstract
Although the World Health Organization (WHO) certified Taiwan as being malaria-free in 1965, there are reports of a few imported cases each year by travelers who visit malaria-endemic areas. This study examined the epidemiology of imported malaria cases in Taiwan from 2014 to 2020, utilizing national surveillance data from the Taiwan Centers for Disease Control. Malaria cases were confirmed through the application of standard laboratory methods. Passenger data came from the Tourism Bureau, Ministry of Transportation and Communication, Taiwan (TBMTC). All data were analyzed using SPSS version 21. The analysis included a dataset comprising 64 cases of imported malaria. Of the total cases, 77.8% were acquired from Africa, and 17.5% from Asia. Plasmodium falciparum was responsible for more than half (57.1%) of the cases, Plasmodium vivax malaria for 25.4% of cases, Plasmodium malariae malaria for 6.3%, Plasmodium ovale malaria for 4.8%, and unspecified pathogen malaria for 6.3% of the cases. Majority of the patients were male (75%) and were predominantly aged 20 to 59 years (70.3%). Most cases of imported malaria occurred during the fall season, and 51.6% of cases occurred in 8 cities during the period of 2014 to 2020. No evidence exists to indicate that indigenous malaria transmission occurs in Taiwan. Anopheles minimus was found in 4 cities (counties), namely Tainan City and Pingtung County in Southern Taiwan; Hualien County and Taitung County in Eastern Taiwan. The findings of this study highlight the necessity for robust surveillance systems, effective vector control measures, and targeted interventions for travelers and immigrants to prevent malaria outbreaks and maintain Taiwan's malaria-free status.
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Affiliation(s)
- Fu-Huang Lin
- School of Public Health, National Defense Medical Center, Taipei City, Taiwan
| | - Yu-Ching Chou
- School of Public Health, National Defense Medical Center, Taipei City, Taiwan
| | - Chi-Jeng Hsieh
- Department of Healthcare Administration, Asia Eastern University of Science and Technology, New Taipei City, Taiwan
| | - Yao-Ching Huang
- Department of Chemical Engineering and Biotechnology, National Taipei University of Technology (Taipei Tech), Taipei, Taiwan
- Department of Medical Research, Tri-Service General Hospital, National Defense Medical Center, Taipei City, Taiwan
| | - Chia-Peng Yu
- School of Public Health, National Defense Medical Center, Taipei City, Taiwan
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Jia L, Chen X, Feng Z, Tang S, Feng D. Factors affecting delays in seeking treatment among malaria patients during the pre-certification phase in China. Malar J 2024; 23:73. [PMID: 38468296 DOI: 10.1186/s12936-024-04892-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2023] [Accepted: 02/24/2024] [Indexed: 03/13/2024] Open
Abstract
BACKGROUND Delays in malaria treatment can not only lead to severe and even life-threatening complications, but also foster transmission, putting more people at risk of infection. This study aimed to investigate the factors influencing treatment delays among malaria patients and their health-seeking behaviour. METHODS The medical records of 494 patients diagnosed with malaria from 6 different malaria-endemic provinces in China were analysed. A bivariate and multivariable regression model was used to investigate the association between delays in seeking treatment and various factors. A Sankey diagram was used to visualize the trajectories of malaria patients seeking medical care. Total treatment delays were categorized as patient delays and doctor delays. RESULTS The incidence of total delays in seeking malaria treatment was 81.6%, of which 28.4% were delayed by patients alone and 34.8% by doctors alone. The median time from the onset of symptoms to the initial healthcare consultation was 1 day. The median time from the initial healthcare consultation to the conclusive diagnosis was 2 day. After being subjected to multiple logistic regression analysis, living in central China was less likely to experience patient delays (OR = 0.43, 95% CI 0.24-0.78). The factors significantly associated with the lower likelihood of doctor delays included: age between 30 to 49 (OR = 0.43, 95% CI 0.23-0.81), being single/divorce/separated (OR = 0.48, 95% CI 0.24-0.95), first visiting a county-level health institution (OR = 0.25, 95% CI 0.14-0.45), first visiting a prefectural health institution (OR = 0.06, 95% CI 0.03-0.12) and first visiting a provincial health institution (OR = 0.05, 95%CI 0.02-0.12). Conversely, individuals with mixed infections (OR = 2.04, 95% CI 1.02-4.08) and those experiencing periodic symptoms (OR = 1.71, 95% CI 1.00-2.92) might face increased doctor delays. Furthermore, higher financial burden and complications were found to be associated with patient delays. Doctor delays, in addition to incurring these two consequences, were associated with longer hospital stays. CONCLUSION There was a substantial delay in access to health care for malaria patients before China was certified malaria free. Region, marital status, periodic symptoms and the level of health institutions were factors contributing to delays in treatment-seeking among malaria patients.
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Affiliation(s)
- Lianyu Jia
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
| | - Xiaoyu Chen
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
| | - Zhanchun Feng
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
| | - Shangfeng Tang
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
| | - Da Feng
- School of Pharmacy, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China.
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Quan H, Yu P, Kassegne K, Shen HM, Chen SB, Chen JH. Polymorphism of Drug Resistance Genes dhfr and dhps in Plasmodium falciparum Isolates among Chinese Migrant Workers Who Returned from Ghana in 2013. Trop Med Infect Dis 2023; 8:504. [PMID: 37999623 PMCID: PMC10675347 DOI: 10.3390/tropicalmed8110504] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Revised: 11/13/2023] [Accepted: 11/16/2023] [Indexed: 11/25/2023] Open
Abstract
In 2013, an epidemic of falciparum malaria involving over 820 persons unexpectedly broke out in Shanglin County, Guangxi Zhuang Autonomous Region, China, after a large number of migrant workers returned from Ghana, where they worked as gold miners. Herein, we selected 146 isolates randomly collected from these patients to investigate the resistance characteristics of the parasite to sulfadoxine-pyrimethamine (SP) by screening mutations in the dhfr and dhps genes. All 146 isolates were successfully genotyped for dhps, and only 137 samples were successfully genotyped for dhfr. In the dhfr gene, point mutations occurred at three codons: 51 (83.2%, 114/137), 59 (94.9%, 130/137), and 108 (96.4%, 132/137). In the dhps gene, mutations occurred at four codons: 436 (36.3%, 53/146 for S436A, 0.7%, 1/146 for S436Y), 437 (95.2%, 139/146), 540 (3.4%, 5/146), and 613 (2.7%, 4/146). All 146 isolates had mutations in at least one codon, either within dhfr or dhps. Quadruple mutation I51R59N108/G437 (41.1%, 60/146) of partial or low resistance level was the most prevalent haplotype combination. Quintuple I51R59N108/G437E540 accounted for 2.1% (3/146). Sextuple I51R59N108/A436G437S613 was also found and accounted for 1.4% (2/146). A chronological assay incorporating two sets of resistance data from the studies of Duah and Amenga-Etego provided an overview of the resistance trend from 2003 to 2018. During this period, the results we obtained generally coincided with the total development tendency of SP resistance. It can be concluded that Plasmodium falciparum samples collected from Chinese migrant workers from Ghana presented prevalent but relatively partial or low resistance to SP. A chronological assay incorporating two sets of data around 2013 indicates that our results possibly reflect the SP resistance level of Ghana in 2013 and that the possibility of increased resistance exists. Therefore, reasonable drug use and management should be strengthened while also maintaining a continuous screening of resistance to SP. These findings also underscore the need to strengthen the prevention of malaria importation from overseas and focus on preventing its reintroduction and transmission in China.
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Affiliation(s)
- Hong Quan
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Parasitic Diseases, Chinese Center for Diseases Control and Prevention (Chinese Center for Tropical Diseases Research), Shanghai 200025, China
- National Health Commission of the People’s Republic of China (NHC) Key Laboratory of Parasite and Vector Biology, Shanghai 200025, China
- World Health Organization (WHO) Collaborating Center for Tropical Diseases, Shanghai 200025, China
- National Center for International Research on Tropical Diseases, Shanghai 200025, China
| | - Peng Yu
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Parasitic Diseases, Chinese Center for Diseases Control and Prevention (Chinese Center for Tropical Diseases Research), Shanghai 200025, China
- National Health Commission of the People’s Republic of China (NHC) Key Laboratory of Parasite and Vector Biology, Shanghai 200025, China
- World Health Organization (WHO) Collaborating Center for Tropical Diseases, Shanghai 200025, China
- National Center for International Research on Tropical Diseases, Shanghai 200025, China
- Dalian Center for Disease Control and Prevention, Dalian 116000, China
| | - Kokouvi Kassegne
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Parasitic Diseases, Chinese Center for Diseases Control and Prevention (Chinese Center for Tropical Diseases Research), Shanghai 200025, China
- National Health Commission of the People’s Republic of China (NHC) Key Laboratory of Parasite and Vector Biology, Shanghai 200025, China
- World Health Organization (WHO) Collaborating Center for Tropical Diseases, Shanghai 200025, China
- National Center for International Research on Tropical Diseases, Shanghai 200025, China
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Hai-Mo Shen
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Parasitic Diseases, Chinese Center for Diseases Control and Prevention (Chinese Center for Tropical Diseases Research), Shanghai 200025, China
- National Health Commission of the People’s Republic of China (NHC) Key Laboratory of Parasite and Vector Biology, Shanghai 200025, China
- World Health Organization (WHO) Collaborating Center for Tropical Diseases, Shanghai 200025, China
- National Center for International Research on Tropical Diseases, Shanghai 200025, China
| | - Shen-Bo Chen
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Parasitic Diseases, Chinese Center for Diseases Control and Prevention (Chinese Center for Tropical Diseases Research), Shanghai 200025, China
- National Health Commission of the People’s Republic of China (NHC) Key Laboratory of Parasite and Vector Biology, Shanghai 200025, China
- World Health Organization (WHO) Collaborating Center for Tropical Diseases, Shanghai 200025, China
- National Center for International Research on Tropical Diseases, Shanghai 200025, China
| | - Jun-Hu Chen
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Parasitic Diseases, Chinese Center for Diseases Control and Prevention (Chinese Center for Tropical Diseases Research), Shanghai 200025, China
- National Health Commission of the People’s Republic of China (NHC) Key Laboratory of Parasite and Vector Biology, Shanghai 200025, China
- World Health Organization (WHO) Collaborating Center for Tropical Diseases, Shanghai 200025, China
- National Center for International Research on Tropical Diseases, Shanghai 200025, China
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
- Hainan Tropical Diseases Research Center (Hainan Sub-Center, Chinese Center for Tropical Diseases Research), Haikou 571199, China
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Bosilkovski M, Khezzani B, Poposki K, Semenakova-Cvetkovska V, Vidinic I, Lloga AO, Jakimovski D, Dimzova M. Epidemiological and clinical characteristics of imported falciparum malaria in the Republic of North Macedonia : A 13-year experience. Wien Klin Wochenschr 2023; 135:609-616. [PMID: 37010597 DOI: 10.1007/s00508-023-02192-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Accepted: 03/05/2023] [Indexed: 04/04/2023]
Abstract
BACKGROUND Plasmodium falciparum is the leading cause of imported malaria and the most common cause of death in returning travellers. AIM To identify the main epidemiological and clinical characteristics of patients with imported falciparum malaria in the Republic of North Macedonia. MATERIAL AND METHODS Retrospectively analyzed were the epidemiological and clinical features of 34 patients with imported falciparum malaria who were diagnosed and treated at the university clinic for infectious diseases and febrile conditions in Skopje from 2010 to 2022. Malaria diagnosis was based on the microscopic detection of parasites in thick and thin blood smears. RESULTS All patients were male, with a median age of 36 years and a range of 22-60 years. Of the patients 33 (97.1%) acquired the disease in Sub-Saharan Africa. All patients except one stayed in endemic regions for work/business purposes. Chemoprophylaxis was completely applied in 4 (11.8%) patients. The median time of onset between the symptoms and diagnosis was 4 days, with a range of 1-12 days. Prevailing clinical manifestations were fever, chills, and splenomegaly in 100%, 94%, and 68% of patients, respectively. Severe malaria was noticed in 8 (23.5%) patients. In 5 (14.7%) patients the initial parasitemia was higher than 5%. On admission, thrombocytopenia, hyperbilirubinemia, and elevated alanine aminotransferase were registered in 94%, 58%, and 62% of patients, respectively. Out of the 33 patients with adequate follow-up, the outcome was favorable in 31 (93.9%). CONCLUSION In every febrile traveller returned from Africa, imported falciparum malaria should be an essential part of differential diagnostic considerations.
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Affiliation(s)
- Mile Bosilkovski
- University Clinic for Infectious Diseases and Febrile Conditions, Medical Faculty, University Ss.Cyril and Methodius in Skopje, Skopje, Republic of North Macedonia
| | - Bachir Khezzani
- Department of Biology, Faculty of Natural and Life Sciences, University of El Oued, PO Box 789, 39000, El Oued, Algeria.
- Laboratory of Biology, Environment and Health (LBEH), Faculty of Natural and Life Sciences, University of El Oued, PO Box 789, 39000, El Oued, Algeria.
| | - Kostadin Poposki
- University Clinic for Infectious Diseases and Febrile Conditions, Medical Faculty, University Ss.Cyril and Methodius in Skopje, Skopje, Republic of North Macedonia
| | - Vesna Semenakova-Cvetkovska
- University Clinic for Infectious Diseases and Febrile Conditions, Medical Faculty, University Ss.Cyril and Methodius in Skopje, Skopje, Republic of North Macedonia
| | - Ivan Vidinic
- University Clinic for Infectious Diseases and Febrile Conditions, Medical Faculty, University Ss.Cyril and Methodius in Skopje, Skopje, Republic of North Macedonia
| | - Arlinda Osmani Lloga
- University Clinic for Infectious Diseases and Febrile Conditions, Medical Faculty, University Ss.Cyril and Methodius in Skopje, Skopje, Republic of North Macedonia
| | - Dejan Jakimovski
- University Clinic for Infectious Diseases and Febrile Conditions, Medical Faculty, University Ss.Cyril and Methodius in Skopje, Skopje, Republic of North Macedonia
| | - Marija Dimzova
- University Clinic for Infectious Diseases and Febrile Conditions, Medical Faculty, University Ss.Cyril and Methodius in Skopje, Skopje, Republic of North Macedonia
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Zhang X, Jiang J, Sui Y, Yan H, Xia J, Liu Y, Sun L, Wang X, Marfurt J, Lu S, Li S, Ruan W, Wang D. Evaluation of performance for malaria diagnosis in health facilities by five provincial reference laboratories of China. Front Public Health 2023; 11:1243642. [PMID: 37841716 PMCID: PMC10569120 DOI: 10.3389/fpubh.2023.1243642] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Accepted: 09/05/2023] [Indexed: 10/17/2023] Open
Abstract
Introduction The provincial malaria diagnosis reference laboratories review and assess malaria cases diagnosed in health facilities for supporting the malaria elimination efforts and preventing re-transmission of imported malaria. The study aimed to evaluate the detection capability of malaria diagnosis in China from 2014 to 2021. Methods Data on malaria cases reported in the provincial-level administrative divisions (PLADs) of Anhui, Henan, Hubei, Guangxi, and Zhejiang from 2014 to 2021 were collected and analyzed. Results In total, 5,770 malaria cases were reported from 2014 to 2021, and 99.05% (5,715/5,770) were submitted to the provincial malaria diagnosis reference laboratories. The median time between malaria cases being reported and the samples being received by reference laboratories was 6 days (Interquartile range, IQR:3-12 days) from 2017 to 2021. Diagnosis of 5,680 samples in the laboratory were confirmed by provincial reference laboratories, including 3,970 cases of Plasmodium falciparum, 414 of P. vivax, 1,055 of P. ovale, 158 of P. malariae, 1 of P. knowlesi, and 82 of mixed infections. Plasmodium species of 5,141 confirmed cases were consistent with the initial diagnosis, with a species accuracy rate of 90.53% (5,141/5,679). The accuracy of P. falciparum diagnosis in health facilities was higher than that of non-falciparum species. The inconsistency between microscopy and nested polymerase chain reaction (nPCR) results of confirmatory diagnosis was mainly in malaria-positive versus malaria-negative cases, as well as in mixed versus single infection cases. Conclusion The provincial malaria diagnosis reference laboratories have played an important role in ensuring the accuracy and reliability of Plasmodium diagnosis in health facilities. However, the results of this study imply that capacity training for the identification of Plasmodium species in health facilities is warranted.
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Affiliation(s)
- Xuan Zhang
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Jingjing Jiang
- Anhui Provincial Center for Disease Control and Prevention, Hefei, China
| | - Yuan Sui
- Brown School, Washington University, St. Louis, MO, United States
| | - Hui Yan
- Guangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning, China
| | - Jing Xia
- Hubei Provincial Center for Disease Control and Prevention, Wuhan, China
| | - Ying Liu
- Henan Provincial Center for Disease Control and Prevention, Zhengzhou, China
| | - Lingcong Sun
- Hubei Provincial Center for Disease Control and Prevention, Wuhan, China
| | - Xiaoxiao Wang
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Jutta Marfurt
- Global and Tropical Health Division, Menzies School of Health Research, Charles Darwin University, Darwin, NT, Australia
- College of Medicine and Public Health, Flinders University, Darwin, NT, Australia
| | - Shenning Lu
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Center for Tropical Diseases, National Center for International Research on Tropical Diseases, Shanghai, China
| | - Shizhu Li
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Center for Tropical Diseases, National Center for International Research on Tropical Diseases, Shanghai, China
| | - Wei Ruan
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Duoquan Wang
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Center for Tropical Diseases, National Center for International Research on Tropical Diseases, Shanghai, China
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Liu Y, Zhang T, Chen SB, Cui YB, Wang SQ, Zhang HW, Shen HM, Chen JH. Retrospective analysis of Plasmodium vivax genomes from a pre-elimination China inland population in the 2010s. Front Microbiol 2023; 14:1071689. [PMID: 36846776 PMCID: PMC9948256 DOI: 10.3389/fmicb.2023.1071689] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2022] [Accepted: 01/04/2023] [Indexed: 02/11/2023] Open
Abstract
Introduction In malaria-free countries, imported cases are challenging because interconnections with neighboring countries with higher transmission rates increase the risk of parasite reintroduction. Establishing a genetic database for rapidly identifying malaria importation or reintroduction is crucial in addressing these challenges. This study aimed to examine genomic epidemiology during the pre-elimination stage by retrospectively reporting whole-genome sequence variation of 10 Plasmodium vivax isolates from inland China. Methods The samples were collected during the last few inland outbreaks from 2011 to 2012 when China implemented a malaria control plan. After next-generation sequencing, we completed a genetic analysis of the population, explored the geographic specificity of the samples, and examined clustering of selection pressures. We also scanned genes for signals of positive selection. Results China's inland populations were highly structured compared to the surrounding area, with a single potential ancestor. Additionally, we identified genes under selection and evaluated the selection pressure on drug-resistance genes. In the inland population, positive selection was detected in some critical gene families, including sera, msp3, and vir. Meanwhile, we identified selection signatures in drug resistance, such as ugt, krs1, and crt, and noticed that the ratio of wild-type dhps and dhfr-ts increased after China banned sulfadoxine-pyrimethamine (SP) for decades. Discussion Our data provides an opportunity to investigate the molecular epidemiology of pre-elimination inland malaria populations, which exhibited lower selection pressure on invasion and immune evasion genes than neighbouring areas, but increased drug resistance in low transmission settings. Our results revealed that the inland population was severely fragmented with low relatedness among infections, despite a higher incidence of multiclonal infections, suggesting that superinfection or co-transmission events are rare in low-endemic circumstances. We identified selective signatures of resistance and found that the proportion of susceptible isolates fluctuated in response to the prohibition of specific drugs. This finding is consistent with the alterations in medication strategies during the malaria elimination campaign in inland China. Such findings could provide a genetic basis for future population studies, assessing changes in other pre-elimination countries.
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Affiliation(s)
- Ying Liu
- National Institute of Parasitic Diseases, Chinese Center for Diseases Control and Prevention (Chinese Center for Tropical Diseases Research), Shanghai, China
- National Health Commission of the People’s Republic of China (NHC) Key Laboratory of Parasite and Vector Biology, Shanghai, China
- World Health Organization (WHO) Collaborating Center for Tropical Diseases, Shanghai, China
- National Center for International Research on Tropical Diseases, Shanghai, China
- Henan Provincial Center for Disease Control and Prevention, Zhengzhou, China
| | - Tao Zhang
- Anhui Provincial Center for Disease Control and Prevention, Hefei, China
| | - Shen-Bo Chen
- National Institute of Parasitic Diseases, Chinese Center for Diseases Control and Prevention (Chinese Center for Tropical Diseases Research), Shanghai, China
- National Health Commission of the People’s Republic of China (NHC) Key Laboratory of Parasite and Vector Biology, Shanghai, China
- World Health Organization (WHO) Collaborating Center for Tropical Diseases, Shanghai, China
- National Center for International Research on Tropical Diseases, Shanghai, China
| | - Yan-Bing Cui
- National Institute of Parasitic Diseases, Chinese Center for Diseases Control and Prevention (Chinese Center for Tropical Diseases Research), Shanghai, China
- National Health Commission of the People’s Republic of China (NHC) Key Laboratory of Parasite and Vector Biology, Shanghai, China
- World Health Organization (WHO) Collaborating Center for Tropical Diseases, Shanghai, China
- National Center for International Research on Tropical Diseases, Shanghai, China
| | - Shu-Qi Wang
- Anhui Provincial Center for Disease Control and Prevention, Hefei, China
| | - Hong-Wei Zhang
- Henan Provincial Center for Disease Control and Prevention, Zhengzhou, China
| | - Hai-Mo Shen
- National Institute of Parasitic Diseases, Chinese Center for Diseases Control and Prevention (Chinese Center for Tropical Diseases Research), Shanghai, China
- National Health Commission of the People’s Republic of China (NHC) Key Laboratory of Parasite and Vector Biology, Shanghai, China
- World Health Organization (WHO) Collaborating Center for Tropical Diseases, Shanghai, China
- National Center for International Research on Tropical Diseases, Shanghai, China
| | - Jun-Hu Chen
- National Institute of Parasitic Diseases, Chinese Center for Diseases Control and Prevention (Chinese Center for Tropical Diseases Research), Shanghai, China
- National Health Commission of the People’s Republic of China (NHC) Key Laboratory of Parasite and Vector Biology, Shanghai, China
- World Health Organization (WHO) Collaborating Center for Tropical Diseases, Shanghai, China
- National Center for International Research on Tropical Diseases, Shanghai, China
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Liang S, Guo R, Zhuang J, Li P, Chang Z, Zhu W, Jin Z. Analysis of epidemiological changes and elimination effects for malaria in Handan city, the north China. Medicine (Baltimore) 2022; 101:e31722. [PMID: 36550922 PMCID: PMC9771291 DOI: 10.1097/md.0000000000031722] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
The elimination of malaria requires high-quality surveillance data to quickly detect and respond to individual cases. This study aims to analyze the epidemiological characteristics of malaria and ascertain the long-term epidemic trends of malaria by 2020 in Handan China. Case-level data for the period 2011 to 2020 were extracted from Chinese Information System for Disease Control and Prevention. The lamp trap method was used to capture mosquitoes so that the characteristics of mosquitoes can be analyzed. The incidence, accuracy, and timeliness of malaria case diagnosis, reporting and investigation were evaluated at the elimination stage (2011-2020) in Handan City, China. Between 2011 and 2020, 94 malaria cases were reported in Handan City, of which 93 malaria cases were male and all of which were imported from abroad. The annual average incidence decreased from 622.33/100,000 to 0.11/100,000 in the elimination stage. Since the initiation of the National Malaria Elimination Program in 2010, malaria cases have been consistent with the increase in overseas export channels and labor personnel service. There is a need to strengthen malaria surveillance of returning workers from Africa and to conduct timely blood tests to diagnose and treat imported infections. Local authorities ensure that imported malaria cases can be timely diagnosed, reported, treated and investigated at local level.
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Affiliation(s)
- Shuang Liang
- School of Medicine, Hebei University of Engineering, Handan, China
- Handan Key Laboratory of Integrated Medical and Industrial Application in Basic Medicine, Handan, China
| | - Ruiling Guo
- Handan Municipal Centre for Disease Control and Prevention, Handan, China
| | - Jing Zhuang
- Handan Municipal Centre for Disease Control and Prevention, Handan, China
| | - Penghui Li
- School of Medicine, Hebei University of Engineering, Handan, China
- Handan Key Laboratory of Integrated Medical and Industrial Application in Basic Medicine, Handan, China
| | - Zhongzheng Chang
- School of Medicine, Hebei University of Engineering, Handan, China
- Handan Key Laboratory of Integrated Medical and Industrial Application in Basic Medicine, Handan, China
| | - Wangdong Zhu
- School of Medicine, Hebei University of Engineering, Handan, China
- Handan Key Laboratory of Integrated Medical and Industrial Application in Basic Medicine, Handan, China
| | - Zengjun Jin
- School of Medicine, Hebei University of Engineering, Handan, China
- Handan Key Laboratory of Integrated Medical and Industrial Application in Basic Medicine, Handan, China
- Handan Municipal Centre for Disease Control and Prevention, Handan, China
- * Correspondence: Zengjun Jin, School of Medicine, Hebei University of Engineering, Handan, Hebei 056038, China (e-mail: )
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9
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Wang Y, Li C, Zhang J, Yang M, Zhu G, Liu Y, Cao J. Using social media for health education and promotion: a pilot of WeChat-based prize quizzes on China national malaria day. Malar J 2022; 21:381. [PMID: 36514171 PMCID: PMC9745723 DOI: 10.1186/s12936-022-04404-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Accepted: 11/25/2022] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Imported malaria cases remains a key health concern, especially during the COVID-19 pandemic. Providing accurate health information is important to improving people's awareness of malaria. WeChat is an excellent social media tool for health information dissemination, especially during the pandemic. This study explored the effect of malaria knowledge dissemination via a WeChat public account. METHODS A questionnaire for data collection was constructed using the online survey tool Sojump. Questionnaires were sent to users who followed the Jiangsu institute of Parasitic Disease WeChat public account during the National Malaria Day 2021 period. A small incentive (WeChat Red Packet) was distributed to everyone who answered the questionnaire correctly on time. RESULTS A total of 13,169 valid questionnaires were collected during the China National Malaria Day period. Questions in which participants focused mainly on information pertaining to themselves, such as infection, symptoms, and epidemic areas, reached highest accuracy (above 90%). Questionnaires were submitted through smartphones and most of them were completed during the period of 4 days from April 23 to April 26, 2021 when a WeChat Red Packet was offered. The accuracy of responses was related to bolded words and location and number of knowledge points that were shown at the beginning of the questionnaire. The number of users of the WeChat public account in question increased from 5961 to 12,339 in just 4 days of the activity. CONCLUSION A WeChat public account is a convenient and accessible tool for spreading malaria-related health information to the public. Distribution of incentives (Red Packets) can effectively increase public attention to popular science and health information and activities.
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Affiliation(s)
- Yi Wang
- grid.452515.2National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory On Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, 214064 Jiangsu People’s Republic of China
| | - Chengyuan Li
- grid.452515.2National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory On Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, 214064 Jiangsu People’s Republic of China
| | - Jiayao Zhang
- grid.452515.2National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory On Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, 214064 Jiangsu People’s Republic of China
| | - Mengmeng Yang
- grid.452515.2National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory On Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, 214064 Jiangsu People’s Republic of China
| | - Guoding Zhu
- grid.452515.2National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory On Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, 214064 Jiangsu People’s Republic of China ,grid.89957.3a0000 0000 9255 8984Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Yaobao Liu
- grid.452515.2National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory On Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, 214064 Jiangsu People’s Republic of China ,grid.89957.3a0000 0000 9255 8984Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Jun Cao
- grid.452515.2National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory On Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, 214064 Jiangsu People’s Republic of China ,grid.89957.3a0000 0000 9255 8984Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
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10
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Liu W, Dong Z, Hu W, Li K, Sun L, Hou J, Jia S, Liu Y. Trends in hepatitis B notification rates in Guangzhou, China, between 2009 and 2020: an epidemiological study. BMC Infect Dis 2022; 22:913. [PMID: 36476118 PMCID: PMC9727992 DOI: 10.1186/s12879-022-07690-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Accepted: 08/17/2022] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Although the prevalence of hepatitis B in Guangzhou, China, is high, the epidemiological trends are not well-documented. We aimed to analyse newly reported hepatitis B cases in Guangzhou between 2009 and 2020 to explore the epidemiological trends and provide insights for the development of control measures. METHODS Information on the population and new cases of hepatitis B in Guangzhou between 2009 and 2020 was obtained from the China Information System for Disease Control and Prevention, which was used to calculate the annual notification rates of hepatitis B by sex, age group (0-9; 10-19; 20-29; 30-39; 40-49; 50-59; ≥ 60 years), and location (urban or rural). Joinpoint regression analysis was used to analyse the temporal trends and calculate the average annual percentage change (AAPC) and annual percentage change (APC) for each identified trend line segment. RESULTS Between 2009 and 2020, 287,034 new cases of hepatitis B were cumulatively reported. The average annual notification rate was 181.13/100,000, and the notification rate showed a long-term downward trend during the period 2009-2020, with an annual decrease of 6.30% (APC - 6.30%; 95% CI - 7.56 to - 5.02%). Men had a significantly higher notification rate than women; however, the sex ratio decreased from a maximum of 2.34 in 2010 to a minimum of 1.54 in 2020. A downward trend in the notification rate was observed in urban areas and an upward trend was observed in rural areas, with an increase in the rural/urban ratio from 0.46 in 2012 to 1.57 in 2020. The notification rate for all age groups showed a decreasing trend from 2009, with the exception of the 50-59 years and ≥ 60 years groups, whose notification rates began to decrease from 2014 and 2015, respectively. CONCLUSIONS Although the overall notification rate of hepatitis B in Guangzhou decreased annually, it remained high. Further, in rural areas, the notification rate has been increasing, and effective measures should be taken to control hepatitis B infection in Guangzhou.
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Affiliation(s)
- Wei Liu
- grid.508371.80000 0004 1774 3337Operations Management Section, Guangzhou Center for Disease Control and Prevention, No. 1, Qide Road, Jiahe, Baiyun District, Guangzhou, 510440 China
| | - Zhiqiang Dong
- grid.508371.80000 0004 1774 3337Operations Management Section, Guangzhou Center for Disease Control and Prevention, No. 1, Qide Road, Jiahe, Baiyun District, Guangzhou, 510440 China
| | - Wensui Hu
- grid.508371.80000 0004 1774 3337Operations Management Section, Guangzhou Center for Disease Control and Prevention, No. 1, Qide Road, Jiahe, Baiyun District, Guangzhou, 510440 China
| | - Ke Li
- grid.508371.80000 0004 1774 3337Operations Management Section, Guangzhou Center for Disease Control and Prevention, No. 1, Qide Road, Jiahe, Baiyun District, Guangzhou, 510440 China
| | - Lili Sun
- grid.508371.80000 0004 1774 3337Operations Management Section, Guangzhou Center for Disease Control and Prevention, No. 1, Qide Road, Jiahe, Baiyun District, Guangzhou, 510440 China
| | - Jianrong Hou
- grid.508371.80000 0004 1774 3337Operations Management Section, Guangzhou Center for Disease Control and Prevention, No. 1, Qide Road, Jiahe, Baiyun District, Guangzhou, 510440 China
| | - Shijie Jia
- grid.413419.a0000 0004 1757 6778Department of Traditional Chinese Medicine, Guangzhou Eighth People’s Hospital Guangzhou Medical University, No.627, Dongfeng East Road, Yuexiu District, Guangzhou, 510060 China
| | - Yuan Liu
- grid.508371.80000 0004 1774 3337Operations Management Section, Guangzhou Center for Disease Control and Prevention, No. 1, Qide Road, Jiahe, Baiyun District, Guangzhou, 510440 China
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11
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Liu WH, Shi C, Lu Y, Luo L, Ou CQ. Epidemiological characteristics of imported acute infectious diseases in Guangzhou, China, 2005-2019. PLoS Negl Trop Dis 2022; 16:e0010940. [PMID: 36472963 PMCID: PMC9725138 DOI: 10.1371/journal.pntd.0010940] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Accepted: 11/09/2022] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND The global spread of infectious diseases is currently a prominent threat to public health, with the accelerating pace of globalization and frequent international personnel intercourse. The present study examined the epidemiological characteristics of overseas imported cases of acute infectious diseases in Guangzhou, China. METHODS We retrospectively investigated the distribution of diseases, demographic characteristics, and temporal and spatial variations of imported cases of acute infectious diseases in Guangzhou based on the surveillance data of notifiable infectious diseases from 2005 to 2019, provided by Guangzhou center for Disease Control and Prevention. The Cochran-Armitage trend test was applied to examine the trend in the number of imported cases over time. RESULTS A total of 1,025 overseas imported cases of acute infectious diseases were identified during the study period. The top three diseases were dengue (67.12%), malaria (12.39%), and influenza A (H1N1) pdm09 (4.10%). Imported cases were predominantly males, with a sex ratio of 2.6: 1 and 75.22% of the cases were those aged 20-49 years. Businessmen, workers, students and unemployed persons accounted for a large proportion of the cases (68.49%) and many of the cases came from Southeast Asia (59.02%). The number of imported cases of acute infectious diseases increased during the study period and hit 318 in 2019. A clear seasonal pattern was observed in the number of imported cases with a peak period between June and November. Imported cases were reported in all of the 11 districts in Guangzhou and the central districts were more seriously affected compared with other districts. CONCLUSIONS The burden of dengue imported from overseas was substantial and increasing in Guangzhou, China, with the peak period from June to November. Dengue was the most common imported disease. Most imported cases were males aged 20-49 years and businessmen. Further efforts, such as strengthening surveillance of imported cases, paying close attention to the epidemics in hotspots, and improving the ability to detect the imported cases from overseas, are warranted to control infectious diseases especially in the center of the city with a higher population density highly affected by imported cases.
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Affiliation(s)
- Wen-Hui Liu
- Guangzhou Center for Disease Control and Prevention, Guangzhou, China
- State Key Laboratory of Organ Failure Research, Department of Biostatistics, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China
| | - Chen Shi
- State Key Laboratory of Organ Failure Research, Department of Biostatistics, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China
| | - Ying Lu
- Guangzhou Center for Disease Control and Prevention, Guangzhou, China
| | - Lei Luo
- Guangzhou Center for Disease Control and Prevention, Guangzhou, China
- * E-mail: (LL); (CO)
| | - Chun-Quan Ou
- State Key Laboratory of Organ Failure Research, Department of Biostatistics, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China
- * E-mail: (LL); (CO)
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12
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Arisco NJ, Peterka C, Castro MC. Imported malaria definition and minimum data for surveillance. Sci Rep 2022; 12:17982. [PMID: 36289250 PMCID: PMC9605982 DOI: 10.1038/s41598-022-22590-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Accepted: 10/17/2022] [Indexed: 01/24/2023] Open
Abstract
The mobility of malaria-infected individuals poses challenges to elimination campaigns by way of spreading parasite drug resistance, straining country-to-country collaboration, and making routine data collection difficult, especially in resource-poor settings. Nevertheless, no concerted effort has been made to develop a common framework to define the spatial and temporal components of an imported malaria case and recommend the minimum data needed to identify it. We conducted a scoping review of imported malaria literature from 2010 to 2020 which showed that definitions vary widely, and local capabilities of detecting importation are often restricted in low-income countries. Following this, we propose a common definition for imported malaria and the minimum data required to identify a case, depending on the country's capability of conducting an epidemiological investigation. Lastly, we utilize the proposed definition using data from Brazil to demonstrate both the feasibility and the importance of tracking imported cases. The case of Brazil highlights the capabilities of regular surveillance systems to monitor importation, but also the need to regularly use these data for informing local responses. Supporting countries to use regularly collected data and adopt a common definition is paramount to tackling the importation of malaria cases and achieving elimination goals set forth by the World Health Organization.
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Affiliation(s)
- Nicholas J Arisco
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Cassio Peterka
- Secretaria de Vigilância em Saúde, Ministério da Saúde, Brasília, DF, Brazil
| | - Marcia C Castro
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
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13
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Zhang T, Jiang J, Lyu X, Xu X, Wang S, Liu Z, Yin J, Li W. Surveillance and Response to Imported Malaria During the COVID-19 Epidemic - Anhui Province, China, 2019-2021. China CDC Wkly 2022; 4:622-625. [PMID: 35919477 PMCID: PMC9339367 DOI: 10.46234/ccdcw2022.135] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Accepted: 07/08/2022] [Indexed: 11/14/2022] Open
Abstract
What is already known about this topic? China was certified malaria-free on June 30, 2021. However, imported malaria continuously threatens the effort to prevent re-establishment of malaria in China. What is added by this report? Measures such as international travel restrictions, entry quarantine, and screening in fever clinics during the coronavirus disease 2019 (COVID-19) period were associated with a significant decrease of imported malaria cases in Anhui Province, a higher proportion of non-Plasmodium falciparum (non-P. falciparum) malaria reported infections, and a higher proportion of cases requiring medical attention at their initial visit. What are the implications for public health practices? It is necessary to be vigilant about imported malaria during the COVID-19 epidemic, especially for non-P. falciparum infections which are more difficult to detect, and to promote research, development, and introduction of more sensitive and specific point-of-care detection methods for non-P. falciparum species.
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Affiliation(s)
- Tao Zhang
- Anhui Provincial Center for Disease Control and Prevention, Hefei, Anhui Province, China
| | - Jingjing Jiang
- Anhui Provincial Center for Disease Control and Prevention, Hefei, Anhui Province, China
| | - Xiaofeng Lyu
- Anhui Provincial Center for Disease Control and Prevention, Hefei, Anhui Province, China
| | - Xian Xu
- Anhui Provincial Center for Disease Control and Prevention, Hefei, Anhui Province, China
| | - Shuqi Wang
- Anhui Provincial Center for Disease Control and Prevention, Hefei, Anhui Province, China
| | - Zijian Liu
- Anhui Provincial Center for Disease Control and Prevention, Hefei, Anhui Province, China
| | - Jianhai Yin
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), National Health Commission Key Laboratory of Parasite and Vector Biology; WHO Collaborating Center for Tropical Diseases; National Center for International Research on Tropical Diseases, Shanghai, China
| | - Weidong Li
- Anhui Provincial Center for Disease Control and Prevention, Hefei, Anhui Province, China
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14
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Huang L, Jin H, Zhang H, Liu Y, Shi X, Kang X, Zeng Y, Wang L. Factors associated with prolonged hospital stay of imported malaria cases in Chengdu, China: a retrospective study. BMC Infect Dis 2022; 22:496. [PMID: 35619071 PMCID: PMC9134717 DOI: 10.1186/s12879-022-07464-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2021] [Accepted: 05/13/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Although China has entered the post-malaria-elimination era, imported cases remain a public health concern in China. METHODS We retrospectively analyzed data from cases of imported malaria from January 2017 to December 2020 in Chengdu Public Health Clinical Center. We assessed potential clinical, epidemiological, geographical, and seasonal effects on duration of hospital stay. Cox proportional hazards model was used to identify predictive factors for prolonged hospital stay. Multivariate logistic regression was used to assess the potential risk factors associated with severe cases. RESULTS The highest number of imported cases of malaria were from the Democratic Republic of the Congo (23%, 34/150) and most patients (74%, 26/34) were infected by Plasmodium falciparum. The Edwards test indicated no significant seasonality in imported cases of malaria (χ2 = 2.51, p = 0.28). Bacterial infection (adjusted hazard ratio [aHR] for discharge = 0.58, p = 0.01) and thrombocytopenia (aHR = 0.66, p = 0.02) were risk factors for prolonged hospital stay. The C-reactive protein (OR = 1.02, p = 0.01) and procalcitonin (OR = 1.03, p = 0.01) were risk factors for severe cases. CONCLUSIONS Bacterial infection and thrombocytopenia are risk factors for prolonged hospital stay among imported malaria cases. The C-reactive protein and procalcitonin level were risk factors for severe cases.
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Affiliation(s)
- Liang Huang
- Chengdu Public Health Clinical Center, Chengdu City, 610000, Sichuan Province, China
| | - Hong Jin
- Chengdu Public Health Clinical Center, Chengdu City, 610000, Sichuan Province, China
| | - Hong Zhang
- Chengdu Public Health Clinical Center, Chengdu City, 610000, Sichuan Province, China
| | - Yang Liu
- Sichuan Center for Disease Control and Prevention, Chengdu City, 610000, Sichuan Province, China
| | - Xinxing Shi
- Chengdu Public Health Clinical Center, Chengdu City, 610000, Sichuan Province, China
| | - Xintong Kang
- Chengdu Public Health Clinical Center, Chengdu City, 610000, Sichuan Province, China
| | - Yilan Zeng
- Chengdu Public Health Clinical Center, Chengdu City, 610000, Sichuan Province, China
| | - Lin Wang
- Chengdu Public Health Clinical Center, Chengdu City, 610000, Sichuan Province, China.
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15
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Cao Y, Lu G, Zhou H, Wang W, Liu Y, Yang M, Liang C, Zhu G, Cao J. Case-based malaria surveillance and response: implementation of 1-3-7 approach in Jiangsu Province, China. ADVANCES IN PARASITOLOGY 2022; 116:1-31. [PMID: 35752445 DOI: 10.1016/bs.apar.2022.04.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
Following initiation of China's National Malaria Elimination Action Plan (NMEAP) in 2010, China's 1-3-7 surveillance and response approach was developed and rolled out in China to facilitate the malaria control programme and accelerate the progress of malaria elimination. Innovative strategies and interventions have been developed and implemented in Jiangsu Province to facilitate case-based malaria surveillance and response. A total of 9879 malaria cases were reported in Jiangsu Province from 2001 to 2020. Since 2012, no indigenous malaria cases have been reported in Jiangsu Province. However, in recent years, there has been a substantial increase of imported cases from abroad. To continue improving the malaria surveillance and response system, Jiangsu Province has conducted population-based health education to improve the healthcare seeking behaviour of malaria patients, strengthened the capacity of health facilities to improve the performance of malaria diagnosis and treatment, and strengthened health workforce capacity to improve the implementation of 1-3-7 approach. Continually improving surveillance and response system can play a critical role in the early detection and rapid response of individual malaria cases and prevent the re-establishment of malaria.
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Affiliation(s)
- Yuanyuan Cao
- Key Laboratory of National Health Commission (NHC) on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu, PR China
| | - Guangyu Lu
- School of Public Health, Medical College of Yangzhou University, Yangzhou University, Yangzhou, Jiangsu, PR China
| | - Huayun Zhou
- Key Laboratory of National Health Commission (NHC) on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu, PR China
| | - Weiming Wang
- Key Laboratory of National Health Commission (NHC) on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu, PR China
| | - Yaobao Liu
- Key Laboratory of National Health Commission (NHC) on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu, PR China
| | - Mengmeng Yang
- Key Laboratory of National Health Commission (NHC) on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu, PR China
| | - Cheng Liang
- Key Laboratory of National Health Commission (NHC) on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu, PR China
| | - Guoding Zhu
- Key Laboratory of National Health Commission (NHC) on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu, PR China; Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, PR China.
| | - Jun Cao
- Key Laboratory of National Health Commission (NHC) on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu, PR China; Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, PR China.
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16
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Feng X, Huang F, Yin J, Wang R, Xia Z. Key takeaways from China's success in eliminating malaria: leveraging existing evidence for a malaria-free world. BMJ Glob Health 2022; 7:bmjgh-2021-008351. [PMID: 35487673 PMCID: PMC9058700 DOI: 10.1136/bmjgh-2021-008351] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Accepted: 03/27/2022] [Indexed: 12/16/2022] Open
Abstract
Although the total number of malaria cases and fatalities have declined globally since 2010, there were still 241 million malaria cases identified across 85 countries and territories in 2020. As the global malaria eradication process accelerates, more countries have launched their own initiatives of elimination. Notably, China achieved this goal by 2021, ending thousands of years of endemic. Undoubtedly, tremendous experience and vital lessons have been accrued en route to the malaria-free goal in malaria-eliminated countries including China. To enhance prospects of a malaria-free world by bridging the key evidence from a malaria-eliminated country to the contexts of affected, this personal view highlights concerted commitments and universal investment in healthcare, improved surveillance and response system, constant capacity building, demand-oriented scientific research, and multiway cooperation, which have helped China to eliminate this ancient scourge. We discuss how these key takeaways could be leveraged to different contexts. We also argue the long-term challenges and barriers on the pathway to malaria elimination and underline the needs for consistent efforts to maintain zero indigenous cases and prevent re-introduction of malaria. Through concerted efforts from global collaboration, a malaria-free world can become a reality.
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Affiliation(s)
- Xinyu Feng
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research); NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases; National Center for International Research on Tropical Diseases, Shanghai, China
| | - Fang Huang
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research); NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases; National Center for International Research on Tropical Diseases, Shanghai, China
| | - Jianhai Yin
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research); NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases; National Center for International Research on Tropical Diseases, Shanghai, China
| | - Rubo Wang
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research); NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases; National Center for International Research on Tropical Diseases, Shanghai, China
| | - Zhigui Xia
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research); NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases; National Center for International Research on Tropical Diseases, Shanghai, China
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17
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Kamana E, Zhao J, Bai D. Predicting the impact of climate change on the re-emergence of malaria cases in China using LSTMSeq2Seq deep learning model: a modelling and prediction analysis study. BMJ Open 2022; 12:e053922. [PMID: 35361642 PMCID: PMC8971767 DOI: 10.1136/bmjopen-2021-053922] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
OBJECTIVES Malaria is a vector-borne disease that remains a serious public health problem due to its climatic sensitivity. Accurate prediction of malaria re-emergence is very important in taking corresponding effective measures. This study aims to investigate the impact of climatic factors on the re-emergence of malaria in mainland China. DESIGN A modelling study. SETTING AND PARTICIPANTS Monthly malaria cases for four Plasmodium species (P. falciparum, P. malariae, P. vivax and other Plasmodium) and monthly climate data were collected for 31 provinces; malaria cases from 2004 to 2016 were obtained from the Chinese centre for disease control and prevention and climate parameters from China meteorological data service centre. We conducted analyses at the aggregate level, and there was no involvement of confidential information. PRIMARY AND SECONDARY OUTCOME MEASURES The long short-term memory sequence-to-sequence (LSTMSeq2Seq) deep neural network model was used to predict the re-emergence of malaria cases from 2004 to 2016, based on the influence of climatic factors. We trained and tested the extreme gradient boosting (XGBoost), gated recurrent unit, LSTM, LSTMSeq2Seq models using monthly malaria cases and corresponding meteorological data in 31 provinces of China. Then we compared the predictive performance of models using root mean squared error (RMSE) and mean absolute error evaluation measures. RESULTS The proposed LSTMSeq2Seq model reduced the mean RMSE of the predictions by 19.05% to 33.93%, 18.4% to 33.59%, 17.6% to 26.67% and 13.28% to 21.34%, for P. falciparum, P. vivax, P. malariae, and other plasmodia, respectively, as compared with other candidate models. The LSTMSeq2Seq model achieved an average prediction accuracy of 87.3%. CONCLUSIONS The LSTMSeq2Seq model significantly improved the prediction of malaria re-emergence based on the influence of climatic factors. Therefore, the LSTMSeq2Seq model can be effectively applied in the malaria re-emergence prediction.
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Affiliation(s)
- Eric Kamana
- Complexity Science Institute, School of Automation, Qingdao University, Qingdao, China
| | - Jijun Zhao
- Complexity Science Institute, School of Automation, Qingdao University, Qingdao, China
| | - Di Bai
- Complexity Science Institute, School of Automation, Qingdao University, Qingdao, China
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18
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Li G, Zhang D, Chen Z, Feng D, Cai X, Chen X, Tang S, Feng Z. Risk factors for the accuracy of the initial diagnosis of malaria cases in China: a decision-tree modelling approach. Malar J 2022; 21:11. [PMID: 34991610 PMCID: PMC8740495 DOI: 10.1186/s12936-021-04006-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Accepted: 12/03/2021] [Indexed: 11/16/2022] Open
Abstract
Background Early accurate diagnosis and risk assessment for malaria are crucial for improving patients’ terminal prognosis and preventing them from progressing to a severe or critical stage. This study aims to describe the accuracy of the initial diagnosis of malaria cases with different characteristics and the factors that affect the accuracy in the context of the agenda for a world free of malaria. Methods A retrospective study was conducted on 494 patients admitted to hospitals with a diagnosis of malaria from January 2014 through December 2016. Descriptive statistics were calculated, and decision tree analysis was performed to predict the probability of patients who may be misdiagnosed. Results Of the 494 patients included in this study, the proportions of patients seeking care in county-level, prefecture-level and provincial-level hospitals were 27.5% (n = 136), 26.3% (n = 130) and 8.3% (n = 41), respectively; the proportions of patients seeking care in clinic, township health centre and Centres for Disease Control and Prevention were 25.9% (n = 128), 4.1% (n = 20), and 7.9% (n = 39), respectively. Nearly 60% of malaria patients were misdiagnosed on their first visit, and 18.8% had complications. The median time from onset to the first visit was 2 days (IQR: 0-3 days), and the median time from the first visit to diagnosis was 3 days (IQR: 0–4 days). The decision tree classification of malaria patients being misdiagnosed consisted of six categorical variables: healthcare facilities for the initial diagnosis, time interval between onset and initial diagnosis, region, residence type, insurance status, and age. Conclusions Insufficient diagnostic capacity of healthcare facilities with lower administrative levels for the first visit was the most important risk factor in misdiagnosing patients. To reduce diagnostic errors, clinicians, government decision-makers and communities should consider strengthening the primary care facilities, the time interval between onset and initial diagnosis, residence type, and health insurance status.
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Affiliation(s)
- Gang Li
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, 430030, Wuhan, Hubei, China
| | - Donglan Zhang
- Department of Health Policy and Management, College of Public Health, University of Georgia, Athens, GA, 30602, USA
| | - Zhuo Chen
- Department of Health Policy and Management, College of Public Health, University of Georgia, Athens, GA, 30602, USA.,School of Economics, University of Nottingham Ningbo China, Ningbo, 531200, Zhejiang, China
| | - Da Feng
- School of Pharmacy, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
| | - Xinyan Cai
- Department of Epidemiology and Biostatistics, University of Georgia, Athens, GA, 30602, USA
| | - Xiaoyu Chen
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, 430030, Wuhan, Hubei, China
| | - Shangfeng Tang
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, 430030, Wuhan, Hubei, China
| | - Zhanchun Feng
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, 430030, Wuhan, Hubei, China.
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19
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Feng X, Zhang L, Tu H, Xia Z. Malaria Elimination in China and Sustainability Concerns in the Post-elimination Stage. China CDC Wkly 2022; 4:990-994. [DOI: 10.46234/ccdcw2022.201] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Accepted: 10/21/2022] [Indexed: 11/06/2022] Open
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20
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Xu Q, Liu S, Kassegne K, Yang B, Lu J, Sun Y, Zhong W, Zhang M, Liu Y, Zhu G, Cao J, Cheng Y. Genetic diversity and immunogenicity of the merozoite surface protein 1 C-terminal 19-kDa fragment of Plasmodium ovale imported from Africa into China. Parasit Vectors 2021; 14:583. [PMID: 34819151 PMCID: PMC8611641 DOI: 10.1186/s13071-021-05086-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Accepted: 11/03/2021] [Indexed: 11/10/2022] Open
Abstract
Background Merozoite surface protein 1 (MSP1) plays an essential role in erythrocyte invasion by malaria parasites. The C-terminal 19-kDa region of MSP1 has long been considered one of the major candidate antigens for a malaria blood-stage vaccine against Plasmodium falciparum. However, there is limited information on the C-terminal 19-kDa region of Plasmodium ovale MSP1 (PoMSP119). This study aims to analyze the genetic diversity and immunogenicity of PoMSP119. Methods A total of 37 clinical Plasmodium ovale isolates including Plasmodium ovale curtisi and Plasmodium ovale wallikeri imported from Africa into China and collected during the period 2012–2016 were used. Genomic DNA was used to amplify P. ovale curtisi (poc) msp119 (pocmsp119) and P. ovale wallikeri (pow) msp119 (powmsp119) genes by polymerase chain reaction. The genetic diversity of pomsp119 was analyzed using the GeneDoc version 6 programs. Recombinant PoMSP119 (rPoMSP119)-glutathione S-transferase (GST) proteins were expressed in an Escherichia coli expression system and analyzed by western blot. Immune responses in BALB/c mice immunized with rPoMSP119-GST were determined using enzyme-linked immunosorbent assay. In addition, antigen-specific T cell responses were assessed by lymphocyte proliferation assays. A total of 49 serum samples from healthy individuals and individuals infected with P. ovale were used for the evaluation of natural immune responses by using protein microarrays. Results Sequences of pomsp119 were found to be thoroughly conserved in all the clinical isolates. rPoMSP119 proteins were efficiently expressed and purified as ~ 37-kDa proteins. High antibody responses in mice immunized with rPoMSP119-GST were observed. rPoMSP119-GST induced high avidity indexes, with an average of 92.57% and 85.32% for rPocMSP119 and rPowMSP119, respectively. Cross-reactivity between rPocMSP119 and rPowMSP119 was observed. Cellular immune responses to rPocMSP119 (69.51%) and rPowMSP119 (52.17%) induced in rPocMSP119- and rPowMSP119-immunized mice were found in the splenocyte proliferation assays. The sensitivity and specificity of rPoMSP119-GST proteins for the detection of natural immune responses in patients infected with P. ovale were 89.96% and 75%, respectively. Conclusions This study revealed highly conserved gene sequences of pomsp119. In addition, naturally acquired humoral immune responses against rPoMSP1 were observed in P. ovale infections, and high immunogenicity of rPoMSP119 in mice was also identified. These instructive findings should encourage further testing of PoMSP119 for rational vaccine design. Graphical abstract ![]()
Supplementary Information The online version contains supplementary material available at 10.1186/s13071-021-05086-6.
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Affiliation(s)
- Qinwen Xu
- Laboratory of Pathogen Infection and Immunity, Department of Public Health and Preventive Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, People's Republic of China
| | - Sihong Liu
- Key Laboratory of National Health and Family Planning Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasite Diseases, Wuxi, 214064, Jiangsu, People's Republic of China
| | - Kokouvi Kassegne
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, People's Republic of China
| | - Bo Yang
- Laboratory of Pathogen Infection and Immunity, Department of Public Health and Preventive Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, People's Republic of China
| | - Jiachen Lu
- Laboratory of Pathogen Infection and Immunity, Department of Public Health and Preventive Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, People's Republic of China
| | - Yifan Sun
- Laboratory of Pathogen Infection and Immunity, Department of Public Health and Preventive Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, People's Republic of China
| | - Wenli Zhong
- Laboratory of Pathogen Infection and Immunity, Department of Public Health and Preventive Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, People's Republic of China
| | - Miaosa Zhang
- Laboratory of Pathogen Infection and Immunity, Department of Public Health and Preventive Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, People's Republic of China
| | - Yaobao Liu
- Key Laboratory of National Health and Family Planning Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasite Diseases, Wuxi, 214064, Jiangsu, People's Republic of China
| | - Guoding Zhu
- Key Laboratory of National Health and Family Planning Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasite Diseases, Wuxi, 214064, Jiangsu, People's Republic of China
| | - Jun Cao
- Laboratory of Pathogen Infection and Immunity, Department of Public Health and Preventive Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, People's Republic of China. .,Key Laboratory of National Health and Family Planning Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasite Diseases, Wuxi, 214064, Jiangsu, People's Republic of China.
| | - Yang Cheng
- Laboratory of Pathogen Infection and Immunity, Department of Public Health and Preventive Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, People's Republic of China.
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21
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Zeng W, Wang S, Feng S, Zhong D, Hu Y, Bai Y, Ruan Y, Si Y, Zhao H, Yang Q, Li X, Chen X, Zhang Y, Li C, Xiang Z, Wu Y, Chen F, Su P, Rosenthal BM, Yang Z. Polymorphism of Antifolate Drug Resistance in Plasmodium vivax From Local Residents and Migrant Workers Returned From the China-Myanmar Border. Front Cell Infect Microbiol 2021; 11:683423. [PMID: 34249776 PMCID: PMC8265503 DOI: 10.3389/fcimb.2021.683423] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2021] [Accepted: 06/03/2021] [Indexed: 11/29/2022] Open
Abstract
Drug-resistant Plasmodium vivax malaria impedes efforts to control, eliminate, and ultimately eradicate malaria in Southeast Asia. P. vivax resistance to antifolate drugs derives from point mutations in specific parasite genes, including the dihydropteroate synthase (pvdhps), dihydrofolate reductase (pvdhfr), and GTP cyclohydrolase I (pvgch1) genes. This study aims to investigate the prevalence and spread of drug resistance markers in P. vivax populating the China-Myanmar border. Blood samples were collected from symptomatic patients with acute P. vivax infection. Samples with single-clone P. vivax infections were sequenced for pvdhps and pvdhfr genes and genotyped for 6 flanking microsatellite markers. Copy number variation in the pvgch1 gene was also examined. Polymorphisms were observed in six different codons of the pvdhps gene (382, 383, 512, 549, 553, and 571) and six different codons of the pvdhfr gene (13, 57, 58, 61, 99, 117) in two study sites. The quadruple mutant haplotypes 57I/L/58R/61M/117T of pvdhfr gene were the most common (comprising 76% of cases in Myitsone and 43.7% of case in Laiza). The double mutant haplotype 383G/553G of pvdhps gene was also prevalent at each site (40.8% and 31%). Microsatellites flanking the pvdhfr gene differentiated clinical samples from wild type and quadruple mutant genotypes (FST= 0.259-0.3036), as would be expected for a locus undergoing positive selection. The lack of copy number variation of pvgch1 suggests that SP-resistant P. vivax may harbor alternative mechanisms to secure sufficient folate.
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Affiliation(s)
- Weilin Zeng
- Department of Pathogen Biology and Immunology, Kunming Medical University, Kunming, China
| | - Siqi Wang
- Department of Pathogen Biology and Immunology, Kunming Medical University, Kunming, China
| | - Shi Feng
- Department of Pathogen Biology and Immunology, Kunming Medical University, Kunming, China
| | - Daibin Zhong
- Program in Public Health, College of Health Sciences, University of California at Irvine, Irvine, CA, United States
| | - Yue Hu
- Department of Pathogen Biology and Immunology, Kunming Medical University, Kunming, China
| | - Yao Bai
- Department of Pathogen Biology and Immunology, Kunming Medical University, Kunming, China
| | - Yonghua Ruan
- Department of Pathology, Kunming Medical University, Kunming, China
| | - Yu Si
- Department of Pathogen Biology and Immunology, Kunming Medical University, Kunming, China
| | - Hui Zhao
- Department of Pathogen Biology and Immunology, Kunming Medical University, Kunming, China
| | - Qi Yang
- Department of Pathogen Biology and Immunology, Kunming Medical University, Kunming, China
| | - Xinxin Li
- Department of Pathogen Biology and Immunology, Kunming Medical University, Kunming, China
| | - Xi Chen
- Department of Pathogen Biology and Immunology, Kunming Medical University, Kunming, China
| | - Yanmei Zhang
- Department of Pathogen Biology and Immunology, Kunming Medical University, Kunming, China
| | - Cuiying Li
- Department of Pathogen Biology and Immunology, Kunming Medical University, Kunming, China
| | - Zheng Xiang
- Department of Pathogen Biology and Immunology, Kunming Medical University, Kunming, China
| | - Yanrui Wu
- Department of Cell Biology and Medical Genetics, Kunming Medical University, Kunming, China
| | - Fang Chen
- Department of Pathogen Biology and Immunology, Kunming Medical University, Kunming, China
| | - Pincan Su
- Transfusion Medicine Research Department, Yunnan Kunming Blood Center, Kunming, China
| | - Benjamin M Rosenthal
- Animal Parasitic Disease Laboratory, Agricultural Research Service, US Department of Agriculture, Beltsville, MD, United States
| | - Zhaoqing Yang
- Department of Pathogen Biology and Immunology, Kunming Medical University, Kunming, China
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22
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Liu W, Hu W, Dong Z, You X. Travel-related infection in Guangzhou, China,2009-2019. Travel Med Infect Dis 2021; 43:102106. [PMID: 34116241 DOI: 10.1016/j.tmaid.2021.102106] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2019] [Revised: 06/01/2021] [Accepted: 06/04/2021] [Indexed: 11/16/2022]
Abstract
BACKGROUND We analyzed the epidemiological characteristics of travel-related infectious diseases in reported Guangzhou between 2009 and 2019 to provide a scientific basis for prevention and control strategies. METHOD The infectious diseases report information system of China was mined for case reports, combined with clinical diagnosis records, and analyzed. RESULTS Between 2009 and 2019, 1478 cases of imported infectious diseases were reported in Guangzhou. Dengue fever accounted for 46.14%of cases and malaria accounted for 45.47% of cases. The patients with imported travel-related infection cases were mainly male (75.88%), Chinese (75.57%), and aged 20-45 years (83.01%). Cases increased from May each year, peaked between August and September, and declined rapidly after October. The main source areas of import were Africa and other countries in Asia. CONCLUSIONS Dengue fever and malaria are the main travel-related infection in Guangzhou, and are generally brought in by male Chinese workers. Intervention and health education in this population should be strengthened to prevent and control travel-related infection.
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Affiliation(s)
- Weisi Liu
- Guangzhou Center for Disease Control and Prevention, China.
| | - Wensui Hu
- Guangzhou Center for Disease Control and Prevention, China
| | - Zhiqiang Dong
- Guangzhou Center for Disease Control and Prevention, China
| | - Xiaojin You
- Guangzhou Center for Disease Control and Prevention, China
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23
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Cheng W, Song X, Tan H, Wu K, Li J. Molecular surveillance of anti-malarial resistance pfcrt, pfmdr1, and pfk13 polymorphisms in African Plasmodium falciparum imported parasites to Wuhan, China. Malar J 2021; 20:209. [PMID: 33933099 PMCID: PMC8087876 DOI: 10.1186/s12936-021-03737-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Accepted: 04/19/2021] [Indexed: 11/21/2022] Open
Abstract
Background Imported malaria parasites with anti-malarial drug resistance (ADR) from Africa is a serious public health challenge in non-malarial regions, including Wuhan, China. It is crucial to assess the ADR status in African Plasmodium falciparum isolates from imported malaria cases, as this will provide valuable information for rational medication and malaria control. Methods During 2017–2019, a cross-sectional study was carried out in Wuhan, China. Peripheral blood 3 ml of returned migrant workers from Africa was collected. The target fragments from pfcrt, pfmdr1, and k13 propeller (pfk13) genes were amplified, sequenced, and analysed. Results In total, 106 samples were collected. Subsequently, 98.11% (104/106), 100% (106/106), and 86.79% (92/106) of these samples were successfully amplified and sequenced for the pfcrt (72–76), pfmdr1, and pfk13 genes, respectively. The prevalence of the pfcrt 76 T, pfmdr1 86Y, and pfmdr1 184F mutations was 9.62, 4.72, and 47.17%, respectively. At codons 72–76, the pfcrt locus displayed three haplotypes, CVMNK (wild-type), CVIET (mutation type), CV M/I N/E K/T (mixed type), with 87.50%, 9.62%, and 2.88% prevalence, respectively. For the pfmdr1 gene, NY (wild type), NF and YF (mutant type), N Y/F, Y Y/F, and N/Y Y/F (mixed type) accounted for 34.91, 43.40, 3.77, 15.09, 0.94, and 1.89% of the haplotypes, respectively. A total of 83 isolates with six unique haplotypes were found in pfcrt and pfmdr1 combined haplotypes, of which NY-CVMNK and NF-CVMNK accounted for 40.96% (34/83) and 43.37% (36/83), respectively. Furthermore, 90 cases were successfully sequenced (84.91%, 90/106) at loci 93, 97, 101, and 145, and 78 cases were successfully sequenced (73.58%, 78/106) at loci 343, 353, and 356 for pfcrt. However, the mutation was observed only in locus 356 with 6.41%. For pfk13, mutations reported in Southeast Asia (at loci 474, 476, 493, 508, 527, 533, 537, 539, 543, 553, 568, 574, 578, and 580) and Africa (at loci 550, 561, 575, 579, and 589) were not observed. Conclusions The present data from pfcrt and pfmdr1 demonstrate that anti-malarial drugs including chloroquine, amodiaquine, and mefloquine, remain effective against malaria treatment in Africa. The new mutations in pfcrt related to piperaquine resistance remain at relatively low levels. Another source of concern is the artemether-lumefantrine resistance-related profiles of N86 and 184F of pfmdr1. Although no mutation in pfk13 is detected, molecular surveillance must continue. Supplementary Information The online version contains supplementary material available at 10.1186/s12936-021-03737-8.
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Affiliation(s)
- Weijia Cheng
- Department of Human Parasitology, School of Basic Medical Sciences, Hubei University of Medicine, Shiyan, 442000, China
| | - Xiaonan Song
- Department of Human Parasitology, School of Basic Medical Sciences, Hubei University of Medicine, Shiyan, 442000, China
| | - Huabing Tan
- Department of Infectious Diseases, Renmin Hospital, Hubei University of Medicine, Shiyan, 442000, China
| | - Kai Wu
- Department of Schistosomiasis and Endemic Diseases, Wuhan City Center for Disease Prevention and Control, Wuhan, 430024, China
| | - Jian Li
- Department of Human Parasitology, School of Basic Medical Sciences, Hubei University of Medicine, Shiyan, 442000, China. .,Department of Infectious Diseases, Renmin Hospital, Hubei University of Medicine, Shiyan, 442000, China.
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24
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Lee SB, Lee JS, Moon SO, Lee HD, Yoon YS, Son CG. A standardized herbal combination of Astragalus membranaceus and Paeonia japonica, protects against muscle atrophy in a C26 colon cancer cachexia mouse model. JOURNAL OF ETHNOPHARMACOLOGY 2021; 267:113470. [PMID: 33068652 DOI: 10.1016/j.jep.2020.113470] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Revised: 09/18/2020] [Accepted: 10/11/2020] [Indexed: 06/11/2023]
Abstract
ETHNOPHARMACOLOGICAL RELEVANCE Astragalus membranaceus (Fisch.) and Bunge and Paeonia japonica (Makino)Miyabe & H.Takeda have been traditionally used to improve the poor quality of life such as weakness, lack of appetite, fatigue, and malaise which is considered with cachexia condition. AIM OF THE STUDY We investigated anti-cachectic effects of a herbal formula composed of Astragalus membranaceus and Paeonia japonica (APX) and the molecular mechanisms of APX in C26 cancer-induced cachexia mice and TNF-a-treated C2C12 myotubes. Additionally synergistic anti-cachectic effects of APX were compared to those of individual herbal extracts and megestrol acetate. METHODS AND MATERIALS The forty-two BALB/c mice were randomly divided into 6 groups: normal (nontreatment), control (C26 injection), AM (C26 injection with Astragalus membranaceus), PJ (C26 injection with Paeonia japonica), APX (C26 injection with combination of Astragalus membranaceus and Paeonia japonica and MA (C26 injection with megestrol acetate). All mice were orally administered DW (normal and control groups) or 100 mg/kg AM, PJ, APX or MA for 10 days. In the animal model, several tissues were weighed, and muscle tissue and blood were used to measure pro-inflammatory cytokines. C2C12 myotubes were exposed to 100 ng/mL TNF- α with or without 10 μg/mL of AM, PJ, APX or MA for 48 h. The cells were used to immunofluorescence staining and western blot analyses. RESULTS C26 injection induced notable body and muscle weight loss while APX administration significantly attenuated these alterations and the decrease of muscle weights and strength. APX also significantly attenuated the abnormal elevations in the concentration of three muscle atrophy-inducible cytokines; serum and muscle TNF-α,muscle TWEAK and IL-6 in C26 tumor-bearing mice. In the TNF-α-treated C2C12 myotube model, TNF-α treatment notably decreased MyH but activated atrophic proteins (MuRF and Fbx32) along with p38 and NFκB while these molecular alterations were significantly ameliorated by APX treatment. These pharmacological actions of APX were supported by the results of immunofluorescence staining to MyH expression and the translocation of NFκB into the nucleus in C2C12 myotubes. CONCLUSIONS Our data indicate the potential of an herbal formula, APX as an anti-cachexia agent; the effect of APX was superior to that of megestrol acetate overall especially for muscle atrophy. The underlying mechanisms of this herbal formula may involve the modulation of muscle atrophy-promoting molecules including p38, NFκB, TNF-α and TWEAK.
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Affiliation(s)
- Sung-Bae Lee
- Institute of Bioscience & Integrative Medicine, Daejeon University, Daejeon University, Daejeon, 35235, Republic of Korea
| | - Jin-Seok Lee
- Institute of Bioscience & Integrative Medicine, Daejeon University, Daejeon University, Daejeon, 35235, Republic of Korea
| | - Sung-Ok Moon
- National Institute for Korean Medicine Development, Gyeongsan-si, 38540, Republic of Korea
| | - Hwa-Dong Lee
- National Institute for Korean Medicine Development, Gyeongsan-si, 38540, Republic of Korea
| | - Yoo-Sik Yoon
- Department of Microbiology, ChungAng University College of Medicine, Seoul, 06974, Republic of Korea
| | - Chang-Gue Son
- Institute of Bioscience & Integrative Medicine, Daejeon University, Daejeon University, Daejeon, 35235, Republic of Korea.
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25
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Shi SM, Shi TQ, Chen SB, Cui YB, Kassegne K, Okpeku M, Chen JH, Shen HM. Genome-Wide Scans for Ghanaian Plasmodium falciparum Genes Under Selection From Local and Chinese Host Populations. Front Cell Infect Microbiol 2021; 11:630797. [PMID: 33718278 PMCID: PMC7947188 DOI: 10.3389/fcimb.2021.630797] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2020] [Accepted: 01/07/2021] [Indexed: 01/02/2023] Open
Abstract
Initial malarial infection mostly causes symptomatic illness in humans. Infection that is not fatal induces complete protection from severe illness and death, and thus complete protection from severe illness or death is granted with sufficient exposure. However, malaria parasite immunity necessitates constant exposure. Therefore, it is important to evaluate lowered immunity and recurrent susceptibility to symptomatic disease in lower transmission areas. We aimed to investigate selection pressure based on transmission levels, antimalarial drug use, and environmental factors. We whole genome sequenced (WGS) P. falciparum clinical samples from Chinese hosts working in Ghana and compared the results with the WGS data of isolates from native Ghanaians downloaded from pf3k. The P. falciparum samples were generally clustered according to their geographic origin, and Chinese imported samples showed a clear African origin with a slightly different distribution from the native Ghanaian samples. Moreover, samples collected from two host populations showed evidence of differences in the intensity of selection. Compared with native Ghanaian samples, the China-imported isolates exhibited a higher proportion of monoclonal infections, and many genes associated with RBC invasion and immune evasion were found to be under less selection pressure. There was no significant difference in the selection of drug-resistance genes due to a similar artemisinin-based combination therapy medication profile. Local selection of malarial parasites is considered to be a result of differences in the host immunity or disparity in the transmission opportunities of the host. In China, most P. falciparum infections were imported from Africa, and under these circumstances, distinct local selective pressures may be caused by varying acquired immunity and transmission intensity. This study revealed the impact of host switching on the immune system, and it may provide a better understanding of the mechanisms that enable clinical immunity to malaria.
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Affiliation(s)
- Shan-Mei Shi
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Key Laboratory of Parasite and Vector Biology of the Chinese Ministry of Health, National Centre for International Research on Tropical Diseases, WHO Collaborating Center for Tropical Diseases, Shanghai, China
| | - Tian-Qi Shi
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Key Laboratory of Parasite and Vector Biology of the Chinese Ministry of Health, National Centre for International Research on Tropical Diseases, WHO Collaborating Center for Tropical Diseases, Shanghai, China
| | - Shen-Bo Chen
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Key Laboratory of Parasite and Vector Biology of the Chinese Ministry of Health, National Centre for International Research on Tropical Diseases, WHO Collaborating Center for Tropical Diseases, Shanghai, China
| | - Yan-Bing Cui
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Key Laboratory of Parasite and Vector Biology of the Chinese Ministry of Health, National Centre for International Research on Tropical Diseases, WHO Collaborating Center for Tropical Diseases, Shanghai, China
| | - Kokouvi Kassegne
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Key Laboratory of Parasite and Vector Biology of the Chinese Ministry of Health, National Centre for International Research on Tropical Diseases, WHO Collaborating Center for Tropical Diseases, Shanghai, China.,School of Global Health, Chinese Centre for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Moses Okpeku
- Discipline of Genetics, School of Life Science, University of Kwazulu-Natal, Durban, South Africa
| | - Jun-Hu Chen
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Key Laboratory of Parasite and Vector Biology of the Chinese Ministry of Health, National Centre for International Research on Tropical Diseases, WHO Collaborating Center for Tropical Diseases, Shanghai, China.,School of Global Health, Chinese Centre for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,National Institute of Parasitic Diseases, Chinese Centre for Disease Control and Prevention⁃Shenzhen Centre for Disease Control and Prevention Joint Laboratory for Imported Tropical Disease Control, Shanghai, China
| | - Hai-Mo Shen
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Key Laboratory of Parasite and Vector Biology of the Chinese Ministry of Health, National Centre for International Research on Tropical Diseases, WHO Collaborating Center for Tropical Diseases, Shanghai, China
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26
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Xia J, Wu D, Wu K, Zhu H, Sun L, Lin W, Li K, Zhang J, Wan L, Zhang H, Liu S. Epidemiology of Plasmodium falciparum Malaria and Risk Factors for Severe Disease in Hubei Province, China. Am J Trop Med Hyg 2020; 103:1534-1539. [PMID: 32700677 PMCID: PMC7543867 DOI: 10.4269/ajtmh.20-0299] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Accepted: 06/17/2020] [Indexed: 11/07/2022] Open
Abstract
This study aimed to describe the epidemiology of Plasmodium falciparum malaria and identify risk factors for severe disease in Hubei Province, China, using a case-based survey of retrospective data from 2013 to 2018. From 2013 to 2018, a total of 763 imported malaria cases were reported in Hubei Province; 69.2% (528/763) cases were caused by P. falciparum species. The proportion of malaria caused by P. falciparum increased from 66.7% in 2013 to 74.0% in 2018 (χ2 = 21.378, P < 0.05). Plasmodium falciparum malaria was reported in 77 counties of Hubei Province. The majority of imported P. falciparum cases originated from Africa (98.9%, 522/528); 9.7% (51/528) of patients infected with P. falciparum developed severe malaria. Three deaths (case fatality rate: 0.6%) were related to imported P. falciparum malaria. Risk factors for severe malaria were being female (odds ratio [OR] = 3.593, 95% CI: 1.003-12.874), age ≥ 50 years (OR = 2.674, 95% CI: 1.269-5.634), > 3 days between symptom onset and diagnosis (OR = 2.383, 95% CI: 1.210-4.693), and the first-visit medical institution at the township level or lower (OR = 2.568, 95% CI: 1.344-4.908). Malaria prevention should be undertaken among high-risk groups, infection with P. falciparum should be detected early to prevent severe disease and death, and healthcare providers in health facilities at the township level should be trained on early recognition of malaria.
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Affiliation(s)
- Jing Xia
- Institute of Schistosomiasis Control, Hubei Provincial Center for Disease Control and Prevention, Wuhan, China
| | - Dongni Wu
- Institute of Schistosomiasis Control, Hubei Provincial Center for Disease Control and Prevention, Wuhan, China
| | - Kai Wu
- Department of Schistosomiasis and Endemic Diseases, Wuhan City Center for Disease Prevention and Control, Wuhan, China
| | - Hong Zhu
- Institute of Schistosomiasis Control, Hubei Provincial Center for Disease Control and Prevention, Wuhan, China
| | - Lingcong Sun
- Institute of Schistosomiasis Control, Hubei Provincial Center for Disease Control and Prevention, Wuhan, China
| | - Wen Lin
- Institute of Schistosomiasis Control, Hubei Provincial Center for Disease Control and Prevention, Wuhan, China
| | - Kaijie Li
- Institute of Schistosomiasis Control, Hubei Provincial Center for Disease Control and Prevention, Wuhan, China
| | - Juan Zhang
- Institute of Schistosomiasis Control, Hubei Provincial Center for Disease Control and Prevention, Wuhan, China
| | - Lun Wan
- Institute of Schistosomiasis Control, Hubei Provincial Center for Disease Control and Prevention, Wuhan, China
| | - Huaxun Zhang
- Institute of Schistosomiasis Control, Hubei Provincial Center for Disease Control and Prevention, Wuhan, China
| | - Si Liu
- Institute of Schistosomiasis Control, Hubei Provincial Center for Disease Control and Prevention, Wuhan, China
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Characteristics of imported Plasmodium ovale spp. and Plasmodium malariae in Hubei Province, China, 2014-2018. Malar J 2020; 19:264. [PMID: 32698906 PMCID: PMC7374957 DOI: 10.1186/s12936-020-03337-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2020] [Accepted: 07/14/2020] [Indexed: 01/19/2023] Open
Abstract
Background There have been an increasing number of imported cases of malaria in Hubei Province in recent years. In particular, the number of cases of Plasmodium ovale spp. and Plasmodium malariae significantly increased, which resulted in increased risks during the malaria elimination phase. The purpose of this study was to acquire a better understanding of the epidemiological characteristics of P. ovale spp. and P. malariae imported to Hubei Province, China, so as to improve case management. Methods Data on all malaria cases from January 2014 to December 2018 in Hubei Province were extracted from the China national diseases surveillance information system (CNDSIS). This descriptive study was conducted to analyse the prevalence trends, latency periods, interval from onset of illness to diagnosis, and misdiagnosis of cases of P. ovale spp. and P. malariae malaria. Results During this period, 634 imported malaria cases were reported, of which 87 P. ovale spp. (61 P. ovale curtisi and 26 P. ovale wallikeri) and 18 P. malariae cases were confirmed. The latency periods of P. ovale spp., P. malariae, Plasmodium vivax, and Plasmodium falciparum differed significantly, whereas those of P. ovale curtisi and P. ovale wallikeri were no significant difference. The proportion of correct diagnosis of P. ovale spp. and P. malariae malaria cases were 48.3% and 44.4%, respectively, in the hospital or lower-level Centers for Disease Control and Prevention (CDC). In the Provincial Reference Laboratory, the sensitivity of microscopy and rapid diagnostic tests was 94.3% and 70.1%, respectively, for detecting P. ovale spp., and 88.9% and 38.9%, respectively, for detecting P. malariae. Overall, 97.7% (85/87) of P. ovale spp. cases and 94.4% (17/18) of P. malariae cases originated from Africa. Conclusion The increase in the number of imported P. ovale spp. and P. malariae cases, long latency periods, and misdiagnosis pose a challenge to this region. Therefore, more attention should be paid to surveillance of imported cases of P. ovale spp. and P. malariae infection to reduce the burden of public health and potential risk of malaria.
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Liu Y, Tessema SK, Murphy M, Xu S, Schwartz A, Wang W, Cao Y, Lu F, Tang J, Gu Y, Zhu G, Zhou H, Gao Q, Huang R, Cao J, Greenhouse B. Confirmation of the absence of local transmission and geographic assignment of imported falciparum malaria cases to China using microsatellite panel. Malar J 2020; 19:244. [PMID: 32660491 PMCID: PMC7359230 DOI: 10.1186/s12936-020-03316-3] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2020] [Accepted: 07/04/2020] [Indexed: 11/15/2022] Open
Abstract
Background Current methods to classify local and imported malaria infections depend primarily on patient travel history, which can have limited accuracy. Genotyping has been investigated as a complementary approach to track the spread of malaria and identify the origin of imported infections. Methods An extended panel of 26 microsatellites (16 new microsatellites) for Plasmodium falciparum was evaluated in 602 imported infections from 26 sub-Saharan African countries to the Jiangsu Province of People’s Republic of China. The potential of the 26 microsatellite markers to assign imported parasites to their geographic origin was assessed using a Bayesian method with Markov Chain Monte Carlo (MCMC) as implemented in the program Smoothed and Continuous Assignments (SCAT) with a modification to incorporate haploid genotype data. Results The newly designed microsatellites were polymorphic and are not in linkage disequilibrium with the existing microsatellites, supporting previous findings of high rate of recombination in sub-Saharan Africa. Consistent with epidemiology inferred from patients’ travel history, no evidence for local transmission was found; nearly all genetically related infections were identified in people who travelled to the same country near the same time. The smoothing assignment method assigned imported cases to their likely geographic origin with an accuracy (Angola: 59%; Nigeria: 51%; Equatorial Guinea: 40%) higher than would be achieved at random, reaching statistical significance for Angola and Equatorial Guinea. Conclusions Genotyping using an extended microsatellite panel is valuable for malaria case classification and programme evaluation in an elimination setting. A Bayesian method for assigning geographic origin of mammals based on genetic data was adapted for malaria and showed potential for identification of the origin of imported infections.
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Affiliation(s)
- Yaobao Liu
- National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu, China.,Medical College of Soochow University, Suzhou, Jiangsu, China
| | - Sofonias K Tessema
- EPPI Center Program, Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine, University of California San Francisco, San Francisco, CA, USA.
| | - Maxwell Murphy
- EPPI Center Program, Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Sui Xu
- National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu, China
| | - Alanna Schwartz
- EPPI Center Program, Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Weiming Wang
- National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu, China
| | - Yuanyuan Cao
- National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu, China
| | - Feng Lu
- National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu, China.,Department of Parasitology, Institute of Translational Medicine, Medical College, Yangzhou University, Jiangsu Key Laboratory of Experimental & Translational Non- coding RNA Research, Yangzhou, Jiangsu, China
| | - Jianxia Tang
- National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu, China
| | - Yaping Gu
- National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu, China
| | - Guoding Zhu
- National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu, China
| | - Huayun Zhou
- National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu, China
| | - Qi Gao
- National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu, China
| | - Rui Huang
- Medical College of Soochow University, Suzhou, Jiangsu, China
| | - Jun Cao
- National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu, China. .,Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China. .,Public Health Research Center, Jiangnan University, Wuxi, China.
| | - Bryan Greenhouse
- EPPI Center Program, Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine, University of California San Francisco, San Francisco, CA, USA.,Chan Zuckerberg Biohub, San Francisco, CA, USA
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Yu T, Fu Y, Kong X, Liu X, Yan G, Wang Y. Epidemiological characteristics of imported malaria in Shandong Province, China, from 2012 to 2017. Sci Rep 2020; 10:7568. [PMID: 32371895 PMCID: PMC7200687 DOI: 10.1038/s41598-020-64593-1] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2019] [Accepted: 04/09/2020] [Indexed: 01/19/2023] Open
Abstract
Shandong Province, China, has been implementing a malaria elimination program. In this study, we analyzed the epidemiological characteristics of malaria imported into Shandong Province between 2012 and 2017 to provide scientific data for the elimination of malaria. In this epidemiological study, we examined the status of malaria in 2012–2017 in Shandong Province, China. Data on all cases of malaria were collected from the online Infection Diseases Monitor Information System to describe and statistically analyze the sources of infection, species of parasite, populations affected, regional distributions, incidence, and temporal distributions of malaria. In total, 1053 cases of malaria were reported in 2012–2017, and all of them were imported. Plasmodium falciparum was the predominant species (77.6%) in Shandong Province; P. vivax malaria accounted for 10.9% of the total number of cases, P. ovale malaria for 2.9%, and P. malariae malaria for 8.2%. Most patients were male (96.8%), most were aged 21–50 years (87.2%), and migrant laborers (77.2%) and workers (6.6%) were at highest risk. The origin of the largest number of imported cases was Africa (93.4%), followed by Asia (5.9%) and Oceania (0.4%). Most cases of imported malaria occurred in June each year and 70% of cases were recorded in six cities during the period of 2012–2017. It is necessary to strengthen malaria surveillance among workers returning home from Africa and Southeast Asia, and to conduct timely blood tests to diagnose and treat imported infections.
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Affiliation(s)
- Tao Yu
- Shandong Institute of Parasitic Diseases, Shandong Academy of Medical Sciences, No. 11 Taibai Zhong Road, Jining, 272033, Shandong, China.
| | - Yuguang Fu
- Shandong Institute of Parasitic Diseases, Shandong Academy of Medical Sciences, No. 11 Taibai Zhong Road, Jining, 272033, Shandong, China
| | - Xiangli Kong
- Shandong Institute of Parasitic Diseases, Shandong Academy of Medical Sciences, No. 11 Taibai Zhong Road, Jining, 272033, Shandong, China
| | - Xin Liu
- Shandong Institute of Parasitic Diseases, Shandong Academy of Medical Sciences, No. 11 Taibai Zhong Road, Jining, 272033, Shandong, China
| | - Ge Yan
- Shandong Institute of Parasitic Diseases, Shandong Academy of Medical Sciences, No. 11 Taibai Zhong Road, Jining, 272033, Shandong, China
| | - Yongbin Wang
- Shandong Institute of Parasitic Diseases, Shandong Academy of Medical Sciences, No. 11 Taibai Zhong Road, Jining, 272033, Shandong, China
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Feng X, Xia ZG, Feng J, Zhang L, Yan H, Tang L, Zhou XN, Zhou S. The contributions and achievements on malaria control and forthcoming elimination in China over the past 70 years by NIPD-CTDR. ADVANCES IN PARASITOLOGY 2020; 110:63-105. [PMID: 32563334 DOI: 10.1016/bs.apar.2020.03.005] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
Although the past decades have seen a remarkable decrease in malaria-caused mortality and morbidity, the infection remains a significant challenge to global health. In the battle against malaria, China has gained notable feat and achievement since the 1940s through the efforts of several generations. Notably, China has not recorded a single indigenous malaria case since August 2016. The National Institute of Parasitic Diseases of the Chinese Center for Disease Control and Prevention (NIPD), as the only specialized institution for parasitic disease at the national level, has played a significant role in the malaria control, prevention, and elimination in China in the different historical periods. In order to transfer Chinese experiences on malaria control and elimination to other Low and Middle Income Countries (LMICs) and to improve global health collaboration, we have summarized and reviewed the contributions and achievements by the NIPD over the past 70 years, covering the epidemic situation; field investigation and laboratory experimental research on both parasite and vector; research and development on diagnostics, drugs, and insecticides; surveillance and response; technical and international. Support and cooperation. In addition, we also focus in particular on malaria retransmission risk, strategies on management of imported malaria cases and mobile populations, surveillance and response capacity to be maintained in post-elimination stage, challenges on diagnosis, drug resistance, and insecticide resistance as future concerns.
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Affiliation(s)
- Xinyu Feng
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, People's Republic of China; Chinese Center for Tropical Diseases Research, Shanghai, People's Republic of China; WHO Collaborating Centre for Tropical Diseases, Shanghai, People's Republic of China; National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai, People's Republic of China; Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai, People's Republic of China
| | - Zhi-Gui Xia
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, People's Republic of China; Chinese Center for Tropical Diseases Research, Shanghai, People's Republic of China; WHO Collaborating Centre for Tropical Diseases, Shanghai, People's Republic of China; National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai, People's Republic of China; Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai, People's Republic of China
| | - Jun Feng
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, People's Republic of China; Chinese Center for Tropical Diseases Research, Shanghai, People's Republic of China; WHO Collaborating Centre for Tropical Diseases, Shanghai, People's Republic of China; National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai, People's Republic of China; Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai, People's Republic of China
| | - Li Zhang
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, People's Republic of China; Chinese Center for Tropical Diseases Research, Shanghai, People's Republic of China; WHO Collaborating Centre for Tropical Diseases, Shanghai, People's Republic of China; National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai, People's Republic of China; Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai, People's Republic of China
| | - He Yan
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, People's Republic of China; Chinese Center for Tropical Diseases Research, Shanghai, People's Republic of China; WHO Collaborating Centre for Tropical Diseases, Shanghai, People's Republic of China; National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai, People's Republic of China; Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai, People's Republic of China
| | - Linhua Tang
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, People's Republic of China; Chinese Center for Tropical Diseases Research, Shanghai, People's Republic of China; WHO Collaborating Centre for Tropical Diseases, Shanghai, People's Republic of China; National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai, People's Republic of China; Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai, People's Republic of China
| | - Xiao-Nong Zhou
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, People's Republic of China; Chinese Center for Tropical Diseases Research, Shanghai, People's Republic of China; WHO Collaborating Centre for Tropical Diseases, Shanghai, People's Republic of China; National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai, People's Republic of China; Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai, People's Republic of China
| | - Shuisen Zhou
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, People's Republic of China; Chinese Center for Tropical Diseases Research, Shanghai, People's Republic of China; WHO Collaborating Centre for Tropical Diseases, Shanghai, People's Republic of China; National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai, People's Republic of China; Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai, People's Republic of China.
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Li W, Zhang T, Xu X, Jiang J, Yu C, Tian C, Wang S, Lyu X, Liu Z. Problems Associated with the Diagnosis of Imported Malaria in Anhui Province, China. Am J Trop Med Hyg 2020; 102:142-146. [PMID: 31701862 DOI: 10.4269/ajtmh.19-0471] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
Imported malaria in Anhui Province, China, remains a significant public health issue with frequent reporting of severe and fatal cases, partly because of globalization and increased international communication. A retrospective evaluation using surveillance data from 2012 to 2018 was conducted to draw lessons on diagnosis of imported malaria. Epidemiological characteristics, together with diagnostic information, were analyzed using descriptive and comparative statistics. Simultaneously, blinded rechecking of malaria blood slides was performed at general hospitals in Anhui Province in 2018. The results showed that, in their first medical visits, 238 (28.2%) of 844 imported cases were not correctly diagnosed. Notably, the proportion of patients who were misdiagnosed at the first clinic visit was 104/120 (86.7%) at private and village clinics, and 41/81 (50.6%) at primary hospitals. The species identification rates for Plasmodium falciparum, Plasmodium vivax, Plasmodium ovale, and Plasmodium malariae were 85.2%, 66.7%, 23.2%, and 32.3% (χ2 = 224, P < 0.001), respectively. Nearly 7% of cases lacked laboratory evidence and were classified as presumed cases. Our findings suggest that physicians and health care providers, especially those at the primary level, lacked the awareness of diagnosing imported malaria. The training of physicians in malaria diagnosis needs to be enhanced. In addition, polymerase chain reactions (previously only carried out at the provincial level) should be performed at municipal CDC for rapid species identification, thereby guiding clinical treatment.
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Affiliation(s)
- Weidong Li
- Anhui Provincial Center for Disease Control and Prevention, Hefei, China
| | - Tao Zhang
- Anhui Provincial Center for Disease Control and Prevention, Hefei, China
| | - Xian Xu
- Anhui Provincial Center for Disease Control and Prevention, Hefei, China
| | - Jingjing Jiang
- Anhui Provincial Center for Disease Control and Prevention, Hefei, China
| | - Chen Yu
- Anhui Provincial Center for Disease Control and Prevention, Hefei, China
| | - Cuicui Tian
- Anhui Provincial Center for Disease Control and Prevention, Hefei, China
| | - Shuqi Wang
- Anhui Provincial Center for Disease Control and Prevention, Hefei, China
| | - Xiaofeng Lyu
- Anhui Provincial Center for Disease Control and Prevention, Hefei, China
| | - Zhirong Liu
- Anhui Provincial Center for Disease Control and Prevention, Hefei, China
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Imported Malaria in Countries where Malaria Is Not Endemic: a Comparison of Semi-immune and Nonimmune Travelers. Clin Microbiol Rev 2020; 33:33/2/e00104-19. [PMID: 32161068 DOI: 10.1128/cmr.00104-19] [Citation(s) in RCA: 48] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
The continuous increase in long-distance travel and recent large migratory movements have changed the epidemiological characteristics of imported malaria in countries where malaria is not endemic (here termed non-malaria-endemic countries). While malaria was primarily imported to nonendemic countries by returning travelers, the proportion of immigrants from malaria-endemic regions and travelers visiting friends and relatives (VFRs) in malaria-endemic countries has continued to increase. VFRs and immigrants from malaria-endemic countries now make up the majority of malaria patients in many nonendemic countries. Importantly, this group is characterized by various degrees of semi-immunity to malaria, resulting from repeated exposure to infection and a gradual decline of protection as a result of prolonged residence in non-malaria-endemic regions. Most studies indicate an effect of naturally acquired immunity in VFRs, leading to differences in the parasitological features, clinical manifestation, and odds for severe malaria and clinical complications between immune VFRs and nonimmune returning travelers. There are no valid data indicating evidence for differing algorithms for chemoprophylaxis or antimalarial treatment in semi-immune versus nonimmune malaria patients. So far, no robust biomarkers exist that properly reflect anti-parasite or clinical immunity. Until they are found, researchers should rigorously stratify their study results using surrogate markers, such as duration of time spent outside a malaria-endemic country.
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Routledge I, Lai S, Battle KE, Ghani AC, Gomez-Rodriguez M, Gustafson KB, Mishra S, Unwin J, Proctor JL, Tatem AJ, Li Z, Bhatt S. Tracking progress towards malaria elimination in China: Individual-level estimates of transmission and its spatiotemporal variation using a diffusion network approach. PLoS Comput Biol 2020; 16:e1007707. [PMID: 32203520 PMCID: PMC7117777 DOI: 10.1371/journal.pcbi.1007707] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2019] [Revised: 04/02/2020] [Accepted: 02/03/2020] [Indexed: 01/02/2023] Open
Abstract
In order to monitor progress towards malaria elimination, it is crucial to be able to measure changes in spatio-temporal transmission. However, common metrics of malaria transmission such as parasite prevalence are under powered in elimination contexts. China has achieved major reductions in malaria incidence and is on track to eliminate, having reporting zero locally-acquired malaria cases in 2017 and 2018. Understanding the spatio-temporal pattern underlying this decline, especially the relationship between locally-acquired and imported cases, can inform efforts to maintain elimination and prevent re-emergence. This is particularly pertinent in Yunnan province, where the potential for local transmission is highest. Using a geo-located individual-level dataset of cases recorded in Yunnan province between 2011 and 2016, we introduce a novel Bayesian framework to model a latent diffusion process and estimate the joint likelihood of transmission between cases and the number of cases with unobserved sources of infection. This is used to estimate the case reproduction number, Rc. We use these estimates within spatio-temporal geostatistical models to map how transmission varied over time and space, estimate the timeline to elimination and the risk of resurgence. We estimate the mean Rc between 2011 and 2016 to be 0.171 (95% CI = 0.165, 0.178) for P. vivax cases and 0.089 (95% CI = 0.076, 0.103) for P. falciparum cases. From 2014 onwards, no cases were estimated to have a Rc value above one. An unobserved source of infection was estimated to be moderately likely (p>0.5) for 19/ 611 cases and high (p>0.8) for 2 cases, suggesting very high levels of case ascertainment. Our estimates suggest that, maintaining current intervention efforts, Yunnan is unlikely to experience sustained local transmission up to 2020. However, even with a mean of 0.005 projected up to 2020, locally-acquired cases are possible due to high levels of importation.
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Affiliation(s)
| | - Shengjie Lai
- University of Southampton, Southampton, United Kingdom
| | | | | | | | - Kyle B. Gustafson
- Institute for Disease Modelling, Bellevue, Washington, United States of America
| | | | | | - Joshua L. Proctor
- Institute for Disease Modelling, Bellevue, Washington, United States of America
| | | | - Zhongjie Li
- Chinese Centers for Disease Control and Prevention, Beijing, China
| | - Samir Bhatt
- Imperial College London, London, United Kingom
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Wang XL, Cao JB, Li DD, Guo DX, Zhang CD, Wang X, Li DK, Zhao QL, Huang XW, Zhang WD. Management of imported malaria cases and healthcare institutions in central China, 2012-2017: application of decision tree analysis. Malar J 2019; 18:429. [PMID: 31852503 PMCID: PMC6921536 DOI: 10.1186/s12936-019-3065-7] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2019] [Accepted: 12/08/2019] [Indexed: 02/06/2023] Open
Abstract
Background Imported malaria has been an important challenge for China. Fatality rates from malaria increased in China, particularly in Henan Province, primarily due to malpractice and misdiagnoses in healthcare institutions, and the level of imported malaria. This study aims to investigate the relationship between the state of diagnosis and subsequent complications among imported malaria cases at healthcare institutions, based on malaria surveillance data in Henan Province from 2012 to 2017. Methods A retrospective descriptive analysis was performed using data from the Centre for Disease Control and Prevention, Zhengzhou City, the capital of Henan Province. A decision tree method was exploited to provide valuable insight into the correlation between imported malaria cases and healthcare institutions. Results From 2012 to 2017, there were 371 imported malaria cases, mostly in males aged between 20 and 50 years, including 319 Plasmodium falciparum cases. First visits of 32.3%, 19.9% and 15.9% malaria cases for treatment were to provincial, municipal and county healthcare institutions, respectively. The time interval between onset and initial diagnosis of 284 cases (76.5%) and the time interval between initial diagnosis and final diagnosis of 197 cases (53.1%) was no more than 72 h. An apparent trend was found that there were notably fewer patients misdiagnosed at first visit to healthcare institutions of a higher administrative level; 12.5% of cases were misdiagnosed in provincial healthcare institutions compared to 98.2% in private clinics, leading to fewer complications at healthcare institutions of higher administrative level due to correct initial diagnosis. In the tree model, the rank of healthcare facilities for initial diagnosis, and number of days between onset and initial diagnosis, made a major contribution to the classification of initial diagnosis, which subsequently became the most significant factor influencing complications developed in the second tree model. The classification accuracy were 82.2 and 74.1%, respectively for the tree models of initial diagnosis and complications developed. Conclusion Inadequate seeking medical care by imported malaria patients, and insufficient capacity to diagnose malaria by healthcare institutions of lower administrative level were identified as major factors influencing complications of imported malaria cases in Henan Province. The lack of connection between uncommon imported malaria cases and superior medical resources was found to be the crucial challenge. A web-based system combined with WeChat to target imported malaria cases was proposed to cope with the challenge.
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Affiliation(s)
- Xi-Liang Wang
- Department of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, People's Republic of China
| | - Jie-Bin Cao
- The Centre for Disease Control and Prevention of Erqi District, Zhengzhou, 450001, Henan, People's Republic of China
| | - Dan-Dan Li
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450001, Henan, People's Republic of China
| | - Dong-Xiao Guo
- The Centre for Disease Control and Prevention of Erqi District, Zhengzhou, 450001, Henan, People's Republic of China
| | - Cheng-Da Zhang
- Department of International Medicine, Beaumont Health System, Royal Oak, MI, 48073, USA
| | - Xiao Wang
- The Centre for Disease Control and Prevention of Erqi District, Zhengzhou, 450001, Henan, People's Republic of China
| | - Dan-Kang Li
- Department of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, People's Republic of China
| | - Qing-Lin Zhao
- Department of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, People's Republic of China
| | - Xiao-Wen Huang
- Department of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, People's Republic of China
| | - Wei-Dong Zhang
- Department of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, People's Republic of China.
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Li M, Zhou H, Yan H, Yin J, Feng X, Xia Z, Zhou S. Analysis on external competency assessment for malaria microscopists in China. Malar J 2019; 18:366. [PMID: 31727074 PMCID: PMC6857338 DOI: 10.1186/s12936-019-2996-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2019] [Accepted: 11/04/2019] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND In order to meet the requirement of malaria elimination (ME), three courses of the External Competency Assessment of Malaria Microscopists (ECAMM) were conducted during 2017-2018 in China by facilitators designated by the World Health Organization (WHO-ECAMM). A training course with a model copied from the WHO-ECAMM course was also held a week ahead of ECAMM in March 2018. Thirty-six participants completed these courses and obtained different results. METHODS The slide structures, agendas, score calculations, and the levels of certifications of the four courses strictly adhered to the WHO guidelines. All the data were collected in Excel 2016 and analysed in Graphpad Prism5 or SPSS 23. Significant differences were evaluated in Graphpad Prism5 by two-tailed paired t tests between the pre-assessment and final-assessment for each of the four courses, as well as one-way ANOVAs with Kruskal-Wallis tests and Dunn's post hoc tests among the final assessments of the four courses. Correlations between participants' competency results and their ages, years working on malaria, and numbers of malaria cases reported in their provinces were evaluated by bivariate correlations (two-tailed) and linear regression (excluding cases pairwise) in SPSS 23. The Pearson correlation coefficients (r values), P values (two tailed), adjusted R square (Adjusted R2), standardized coefficients (β) and Sig. P values were recorded. The percentages of participants who gave the right answer to each slide (PPS) in the final assessments of the three WHO-ECAMM courses were calculated. Correlation analysis between PPS and parasitaemia (100-2000 parasites/μL) of Plasmodium falciparum slides used in species identification and parasite counting, were also evaluated via bivariate correlations (two-tailed) tests. RESULTS Among the 36 participants, 16 participants were certificated as Level 1 (two from NRL), 10 were certified as Level 2 (one from NRL). Within the same course, participants had improved their average scores from pre-assessments to final assessments. The numbers of malaria cases reported in participants' provinces were strongly correlated to their species identification (SI) scores; r = 0.45, P = 0.040, n = 21; r = 0.57, P = 0.001, n = 32; r = 0.56, P = 0.007). The parasitaemia of P. falciparum within 100-2000 parasites/μL was correlated significantly (r = 0.44, P = 0.008, n = 36) with the PPS of all counting slides but not with slides for identification (r = - 0.018, P = 0.93, n = 30). CONCLUSIONS The analysis and comparison of participants' competency results not only verified that the model of the WHO-ECAMM course had strong power in improving and assessing microscopists' competencies but also reflected the correlation between decreased numbers of indigenous malaria cases and microscopists' competencies in certain areas in China.
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Affiliation(s)
- Mei Li
- National Institute of Parasitic Diseases, Chinese Center for Diseases Control and Prevention, Shanghai, 200025, China
- Chinese Center for Tropical Diseases Research, Shanghai, 200025, China
- WHO Collaborating Centre for Tropical Diseases, Shanghai, 200025, China
- National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai, 200025, China
- Key Laboratory of Parasite and Vector Biology, Ministry of Public Health, Shanghai, 200025, China
| | - Hejun Zhou
- National Institute of Parasitic Diseases, Chinese Center for Diseases Control and Prevention, Shanghai, 200025, China
- Chinese Center for Tropical Diseases Research, Shanghai, 200025, China
- WHO Collaborating Centre for Tropical Diseases, Shanghai, 200025, China
- National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai, 200025, China
- Key Laboratory of Parasite and Vector Biology, Ministry of Public Health, Shanghai, 200025, China
| | - He Yan
- National Institute of Parasitic Diseases, Chinese Center for Diseases Control and Prevention, Shanghai, 200025, China
- Chinese Center for Tropical Diseases Research, Shanghai, 200025, China
- WHO Collaborating Centre for Tropical Diseases, Shanghai, 200025, China
- National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai, 200025, China
- Key Laboratory of Parasite and Vector Biology, Ministry of Public Health, Shanghai, 200025, China
| | - Jianhai Yin
- National Institute of Parasitic Diseases, Chinese Center for Diseases Control and Prevention, Shanghai, 200025, China
- Chinese Center for Tropical Diseases Research, Shanghai, 200025, China
- WHO Collaborating Centre for Tropical Diseases, Shanghai, 200025, China
- National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai, 200025, China
- Key Laboratory of Parasite and Vector Biology, Ministry of Public Health, Shanghai, 200025, China
| | - Xinyu Feng
- National Institute of Parasitic Diseases, Chinese Center for Diseases Control and Prevention, Shanghai, 200025, China
- Chinese Center for Tropical Diseases Research, Shanghai, 200025, China
- WHO Collaborating Centre for Tropical Diseases, Shanghai, 200025, China
- National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai, 200025, China
- Key Laboratory of Parasite and Vector Biology, Ministry of Public Health, Shanghai, 200025, China
| | - Zhigui Xia
- National Institute of Parasitic Diseases, Chinese Center for Diseases Control and Prevention, Shanghai, 200025, China
- Chinese Center for Tropical Diseases Research, Shanghai, 200025, China
- WHO Collaborating Centre for Tropical Diseases, Shanghai, 200025, China
- National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai, 200025, China
- Key Laboratory of Parasite and Vector Biology, Ministry of Public Health, Shanghai, 200025, China
| | - Shuisen Zhou
- National Institute of Parasitic Diseases, Chinese Center for Diseases Control and Prevention, Shanghai, 200025, China.
- Chinese Center for Tropical Diseases Research, Shanghai, 200025, China.
- WHO Collaborating Centre for Tropical Diseases, Shanghai, 200025, China.
- National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai, 200025, China.
- Key Laboratory of Parasite and Vector Biology, Ministry of Public Health, Shanghai, 200025, China.
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The surveillance of four mosquito-borne diseases in international travelers arriving at Guangzhou Baiyun International Airport, China, 2016–2017. Travel Med Infect Dis 2019; 32:101513. [PMID: 31712181 DOI: 10.1016/j.tmaid.2019.101513] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2019] [Revised: 11/01/2019] [Accepted: 11/06/2019] [Indexed: 01/23/2023]
Abstract
BACKGROUND Little comprehensive analysis combining epidemiological and clinical data has been done with mosquito-borne diseases imported into Guangzhou by air travelers. METHODS We screened international travelers (body temperature >36.5 °C) arriving at Guangzhou Baiyun International Airport, and recorded their epidemiological and clinical information. Whole-blood samples were collected for laboratory diagnosis of dengue virus (DENV), chikungunya virus (CHIKV), zika virus (ZIKV) infections and malaria. RESULTS Between March 1, 2016 and December 31, 2017, 155 (6.6%) cases (100 of DENV, 21 of CHIKV, 1 of ZIKV, 34 of malaria, including one co-infection of DENV and CHIKV) were identified among 2350 febrile travelers. DENV (90.0%) and CHIKV (100.0%) cases mainly came from Southern and Southeast Asia. Malaria cases (91.2%) mainly came from sub-Saharan Africa. Traveling abroad (28/74, 37.8%) and living/working abroad (11/22, 50.0%) were the most common causes of DENV infection and malaria for Chinese, respectively. Cases with these four mosquito-borne diseases were more likely to have nervous, musculoskeletal and skin symptoms and signs than other febrile diseases (P < 0.001). CONCLUSIONS It is important to strengthen the surveillance of mosquito-borne diseases among tourists and workers returning from Southeast Asia, Southern Asia and sub-Saharan Africa, especially those with nervous, musculoskeletal and skin symptoms and signs.
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Zhang T, Xu X, Jiang J, Yu C, Tian C, Xie Q, Li W. Risk factors of severe imported malaria in Anhui province, China. Acta Trop 2019; 197:104934. [PMID: 30802426 DOI: 10.1016/j.actatropica.2019.02.020] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2019] [Revised: 02/17/2019] [Accepted: 02/17/2019] [Indexed: 12/16/2022]
Abstract
We aimed to determine risk factors for developing severe illness in patients infected with imported Plasmodium falciparum, and identify factors that can be implemented in preventive public health actions. Data of patients in Anhui province were collected from the China Information System for Disease Control and Prevention and Information System for Parasitic Disease Control and Prevention from 2012 to 2018. Epidemiological characteristics, clinical severity, and preventive measures were analyzed using descriptive statistics. Risk factors for severe malaria were identified by logistic regression. During the study period, 8.01% (53/662) of patients infected with P. falciparum developed severe malaria; the annual severe incidence rate varied from 5.93% to 10.77% and the fatality rate was 0.6%. Two models were built to analyze the delay from symptom onset to treatment; one analyzed data by stage, whereas the other analyzed data combined from all stages. In model 1, multivariate analysis identified misdiagnosis at first medical visit and patient delay as risk factors for severe malaria (odds ratio: 3.108 and 3.385, respectively, all p < 0.01). In model 2, overall delay was a significant factor of severe malaria onset (odds ratio: 4.719, p = 0.000). In both models, patients with a history of previous infection had a significantly reduced risk of developing severe malaria; high parasitemia (≥2.5%) was associated with an increased risk of severe infection. Delay between symptom onset and treatment was an important cause for development of severe disease in Anhui province. Measures to reduce delays should be used and implemented in preventive public health actions.
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Zhang SS, Feng J, Zhang L, Ren X, Geoffroy E, Manguin S, Frutos R, Zhou SS. Imported malaria cases in former endemic and non-malaria endemic areas in China: are there differences in case profile and time to response? Infect Dis Poverty 2019; 8:61. [PMID: 31272497 PMCID: PMC6610923 DOI: 10.1186/s40249-019-0571-3] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2019] [Accepted: 06/18/2019] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND China has achieved zero indigenous malaria case report in 2017. However, along with the increasing of international cooperation development, there is an increasing number of imported malaria cases from Chinese nationals returning from malaria-affected countries. Previous studies have focused on malaria endemic areas in China. There is thus limited information on non-endemic areas in China, especially on the performance of malaria surveillance and response in health facilities. METHODS A comparative retrospective study was carried out based on routine malaria surveillance data collected from 2013 to 2017. All imported malaria cases reported within the mainland of China were included. Variables used in the comparative analysis between cases in former endemic and former non-endemic areas, included age, gender and occupation, destination of overseas travel, Plasmodium species and patient health outcome. Monthly aggregated data was used to compare seasonal and spatial characteristics. Geographical distribution and spatial-temporal aggregation analyses were conducted. Time to diagnosis and report, method of diagnosis, and level of reporting/diagnosing health facilities were used to assess performance of health facilities. RESULTS A total of 16 733 malaria cases, out of which 90 were fatal, were recorded in 31 provinces. The majority of cases (96.2%) were reported from former malaria endemic areas while 3.8% were reported from former non-malaria endemic areas. Patients in the age class from 19 to 59 years and males made the highest proportion of cases in both areas. There were significant differences between occupational categories in the two areas (P < 0.001). In former endemic areas, the largest proportion of cases was among outdoor workers (80%). Two peaks (June, January) and three peaks (June, September and January) were found in former endemic and former non-endemic areas, respectively. Time between the onset of symptoms and diagnosis at clinics was significantly different between the two areas at different level of health facilities (P < 0.05). CONCLUSIONS All the former non-endemic areas are now reporting imported malaria cases. However, the largest proportion of imported cases is still reported from former endemic areas. Health facilities in former endemic areas outperformed those in former non-endemic areas. Information, treatment, and surveillance must be provided for expatriates while capacity building and continuous training must be implemented at health facilities in China.
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Affiliation(s)
- Shao-Sen Zhang
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Chinese Center for Tropical Diseases Research; Key Laboratory of Parasite and Vector Biology, Ministry of Health; National Center for International Research on Tropical Diseases, Ministry of Science and Technology; WHO Collaborating Center for Tropical Diseases, Shanghai, China
- HydroSciences Montpellier (HSM), Institut de Recherche pour le Développement (IRD), CNRS, Université de Montpellier, 34093 Montpellier, France
- IES Université de Montpellier, CNRS, 34059 Montpellier Cedex 5, France
- Cirad, UMR 17, Intertryp, Campus international de Baillarguet, 34398 Montpellier Cedex 5, France
| | - Jun Feng
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Chinese Center for Tropical Diseases Research; Key Laboratory of Parasite and Vector Biology, Ministry of Health; National Center for International Research on Tropical Diseases, Ministry of Science and Technology; WHO Collaborating Center for Tropical Diseases, Shanghai, China
| | - Li Zhang
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Chinese Center for Tropical Diseases Research; Key Laboratory of Parasite and Vector Biology, Ministry of Health; National Center for International Research on Tropical Diseases, Ministry of Science and Technology; WHO Collaborating Center for Tropical Diseases, Shanghai, China
| | - Xiang Ren
- Division of Infectious Diseases, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
| | | | - Sylvie Manguin
- HydroSciences Montpellier (HSM), Institut de Recherche pour le Développement (IRD), CNRS, Université de Montpellier, 34093 Montpellier, France
| | - Roger Frutos
- IES Université de Montpellier, CNRS, 34059 Montpellier Cedex 5, France
- Cirad, UMR 17, Intertryp, Campus international de Baillarguet, 34398 Montpellier Cedex 5, France
| | - Shui-Sen Zhou
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Chinese Center for Tropical Diseases Research; Key Laboratory of Parasite and Vector Biology, Ministry of Health; National Center for International Research on Tropical Diseases, Ministry of Science and Technology; WHO Collaborating Center for Tropical Diseases, Shanghai, China
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Epidemiology of Imported Malaria in Netrokona District of Bangladesh 2013-2018: Analysis of Surveillance Data. Malar Res Treat 2019; 2019:6780258. [PMID: 31312425 PMCID: PMC6595392 DOI: 10.1155/2019/6780258] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2018] [Revised: 04/11/2019] [Accepted: 04/18/2019] [Indexed: 12/14/2022] Open
Abstract
Introduction Netrokona is one of the first phase malaria elimination targeted 8 districts of Bangladesh by 2021. The district constitutes only 7% of the population but contributes half of the malaria cases in that area. Most of the cases of that district are imported from Meghalaya State of India. The study was conducted to understand the epidemiology of these imported malaria cases for further strategy development to prevent both imported and introduced cases. Methodology The study was retrospectively conducted on the malaria cases confirmed by microscopy and/or RDT by the government and/or NGO service providers between 2013 and 2018. The information of the cases was collected from the verbal "investigation" report of individual malaria confirmed cases. The respondents of the "investigation" were either the patients or their family members. Out of the 713 cases during the study period, descriptive analysis of 626 cases (based on the completeness of "investigation form") of the district was done using MS Excel version 2016. Results Proportion of imported malaria in Netrokona district increased from 60% in 2013 to 95% in 2018 which persists throughout the year with a little seasonal fluctuation. The overall contribution of these imported cases is 93% by cross-border workers by population type and 84%, 66%, and 95% by male, labour, and tribal population considering the factors of sex, occupation, and ethnicity, respectively. Population aged between 15 and 49 years contributed 82% of these imported cases. All of these cases occurred in the internationally bordering belt with Meghalaya State of India. Species-wise distribution revealed lower P. falciparum (63%) and higher mixed (28%) infection in imported cases compared to the 71% Pf and 20% mixed infection among the indigenous infections whereas P. vivax is similar in both cases. Conclusion Imported malaria is an emerging issue that has a potential risk of increased local transmission which might be a challenge to malaria elimination in that area. Appropriate interventions targeting the cross-border workers are essential to prevent the introduced cases and subsequently avoid reestablishment when elimination of the disease is achieved.
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Chen S, Qin Q, Zhong D, Fang X, He H, Wang L, Dong L, Lin H, Zhang M, Cui L, Yan G. Insecticide Resistance Status and Mechanisms of Anopheles sinensis (Diptera: Culicidae) in Wenzhou, an Important Coastal Port City in China. JOURNAL OF MEDICAL ENTOMOLOGY 2019; 56:803-810. [PMID: 30715428 PMCID: PMC6467641 DOI: 10.1093/jme/tjz001] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/02/2018] [Indexed: 06/04/2023]
Abstract
Although scaled-up interventions and effective control efforts have drastically reduced malaria morbidity and mortality, malaria remains a serious threat to public health worldwide. Anopheles sinensis Wiedemann 1828 is a historically important vector of Plasmodium vivax (Haemosporida: Plasmodiidae) malaria in China. Insecticide resistance has become a major obstacle to vector-borne disease control. However, little is known about the insecticide resistance of An. sinensis in Wenzhou, an important coastal port city in Zhejiang province, China. The aim of this study was to examine insecticide resistance and mechanisms in An. sinensis field mosquito populations. Evidence of multiple insecticide resistance was found in An. sinensis adult female populations. Medium to high frequencies of target site kdr together with fixed ace-1 mutations was detected in both the Ruian and Yongjia populations. Both populations showed an association between kdr L1014 mutation and resistance phenotype when tested against deltamethrin and DDT. Significantly different metabolic enzyme activities were found between the susceptible laboratory strain and field-collected mosquitoes from both Ruian and Yongjia. Both field collected An. sinensis populations exhibited significantly higher P450 enzyme activity compared with the laboratory strain, while the field-collected resistant mosquitoes exhibited various GST and COE enzyme activities. These results indicate multiple resistance mechanisms in An. sinensis field populations. Effective implementation of insecticide resistance management strategies is urgently needed. The data collected in this study will be valuable for modeling insecticide resistance spread and vector-control interventions.
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Affiliation(s)
- Shixin Chen
- College of Medical and Health, Lishui University, Lishui, China
| | - Qian Qin
- College of Medical and Health, Lishui University, Lishui, China
- Department of Parasitology, Wenzhou Medical University, Wenzhou, China
| | - Daibin Zhong
- Program in Public Health, College of Health Sciences, University of California at Irvine, Irvine, CA
| | - Xia Fang
- Department of Parasitology, Wenzhou Medical University, Wenzhou, China
| | - Hanjiang He
- College of Medical and Health, Lishui University, Lishui, China
| | - Linlin Wang
- Department of Parasitology, Wenzhou Medical University, Wenzhou, China
| | - Lingjun Dong
- Department of Parasitology, Wenzhou Medical University, Wenzhou, China
| | - Haiping Lin
- Department of Parasitology, Wenzhou Medical University, Wenzhou, China
| | - Mengqi Zhang
- Department of Parasitology, Wenzhou Medical University, Wenzhou, China
| | - Liwang Cui
- Department of Internal Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL
| | - Guiyun Yan
- Program in Public Health, College of Health Sciences, University of California at Irvine, Irvine, CA
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Wang Y, Wang X, Liu X, Ren R, Zhou L, Li C, Tu W, Ni D, Li Q, Feng Z, Zhang Y. Epidemiology of Imported Infectious Diseases, China, 2005-2016. Emerg Infect Dis 2019; 25:33-41. [PMID: 30560778 PMCID: PMC6302593 DOI: 10.3201/eid2501.180178] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
Imported infectious diseases are becoming a serious public health threat in China. However, limited information concerning the epidemiologic characteristics of imported infectious diseases is available. In this study, we collected data related to imported infectious diseases in mainland China from the National Information Reporting System of Infectious Diseases and analyzed demographic, temporal, and spatial distributions. The number of types of imported infectious diseases reported increased from 2 in 2005 to 11 in 2016. A total of 31,740 cases of infectious disease were imported to mainland China during 2005–2016; most of them were found in Yunnan Province. The cases were imported mainly from Africa and Asia. As a key and effective measure, pretravel education should be strengthened for all migrant workers and tourists in China, and border screening, cross-border international cooperation, and early warning should be further improved.
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Lai S, Sun J, Ruktanonchai NW, Zhou S, Yu J, Routledge I, Wang L, Zheng Y, Tatem AJ, Li Z. Changing epidemiology and challenges of malaria in China towards elimination. Malar J 2019; 18:107. [PMID: 30922301 PMCID: PMC6440015 DOI: 10.1186/s12936-019-2736-8] [Citation(s) in RCA: 52] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2018] [Accepted: 03/18/2019] [Indexed: 12/24/2022] Open
Abstract
Background Historically, malaria had been a widespread disease in China. A national plan was launched in China in 2010, aiming to eliminate malaria by 2020. In 2017, no indigenous cases of malaria were detected in China for the first time. To provide evidence for precise surveillance and response to achieve elimination goal, a comprehensive study is needed to determine the changing epidemiology of malaria and the challenges towards elimination. Methods Using malaria surveillance data from 2011 to 2016, an integrated series of analyses was conducted to elucidate the changing epidemiological features of autochthonous and imported malaria, and the spatiotemporal patterns of malaria importation from endemic countries. Results From 2011 to 2016, a total of 21,062 malaria cases with 138 deaths were reported, including 91% were imported and 9% were autochthonous. The geographic distribution of local transmission have shrunk dramatically, but there were still more than 10 counties reporting autochthonous cases in 2013–2016, particularly in counties bordering with countries in South-East Asia. The importation from 68 origins countries had an increasing annual trend from Africa but decreasing importation from Southeast Asia. Four distinct communities have been identified in the importation networks with the destinations in China varied by origin and species. Conclusions China is on the verge of malaria elimination, but the residual transmission in border regions and the threats of importation from Africa and Southeast Asia are the key challenges to achieve and maintain malaria elimination. Efforts from China are also needed to help malaria control in origin countries and reduce the risk of introduced transmission. Electronic supplementary material The online version of this article (10.1186/s12936-019-2736-8) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Shengjie Lai
- WorldPop, School of Geography and Environmental Science, University of Southampton, Southampton, UK.,Division of Infectious Disease, Key Laboratory of Surveillance and Early-Warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China.,School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
| | - Junling Sun
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-Warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Nick W Ruktanonchai
- WorldPop, School of Geography and Environmental Science, University of Southampton, Southampton, UK.,Flowminder Foundation, Stockholm, Sweden
| | - Sheng Zhou
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-Warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jianxing Yu
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-Warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China.,MOH Key Laboratory of Systems Biology of Pathogens and Christophe Mérieux Laboratory, CAMS-Fondation Mérieux, Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Isobel Routledge
- Department of Infectious Disease Epidemiology, Imperial College London, London, UK
| | - Liping Wang
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-Warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yaming Zheng
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-Warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Andrew J Tatem
- WorldPop, School of Geography and Environmental Science, University of Southampton, Southampton, UK.,Flowminder Foundation, Stockholm, Sweden
| | - Zhongjie Li
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-Warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China.
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Characterization of Plasmodium ovale spp. imported from Africa to Henan Province, China. Sci Rep 2019; 9:2191. [PMID: 30778106 PMCID: PMC6379410 DOI: 10.1038/s41598-019-38629-0] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2018] [Accepted: 01/04/2019] [Indexed: 01/19/2023] Open
Abstract
As indigenous malaria has decreased over recent decades, the increasing number of imported malaria cases has provided a new challenge for China. The proportion of imported cases due to Plasmodium ovale has increased during this time, and the difference between P. ovale curtisi and P. ovale wallikeri is of importance. To better understand P. ovale epidemiology and the differences between the two subspecies, information on imported malaria in Henan Province was collected during 2010–2017. We carried out a descriptive study to analyze the prevalence, proportion, distribution, and origin of P. o. curtisi and P. o. wallikeri. It showed that imported P. ovale spp. accounts for a large proportion of total malaria cases in Henan Province, even more than that of P. vivax. This suggests that the proportion of P. ovale cases is underestimated in Africa. Among these cases, the latency period of P. o. curtisi was significantly longer than that of P. o. wallikeri. More attention should be paid to imported ovale malaria to avoid the reintroduction of these two subspecies into China.
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Identification of potential whole blood MicroRNA biomarkers for the blood stage of adult imported falciparum malaria through integrated mRNA and miRNA expression profiling. Biochem Biophys Res Commun 2018; 506:471-477. [DOI: 10.1016/j.bbrc.2018.10.072] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2018] [Accepted: 10/12/2018] [Indexed: 12/25/2022]
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Fang LQ, Sun Y, Zhao GP, Liu LJ, Jiang ZJ, Fan ZW, Wang JX, Ji Y, Ma MJ, Teng J, Zhu Y, Yu P, Li K, Tian YJ, Cao WC. Travel-related infections in mainland China, 2014-16: an active surveillance study. Lancet Public Health 2018; 3:e385-e394. [PMID: 30033200 PMCID: PMC7164813 DOI: 10.1016/s2468-2667(18)30127-0] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2018] [Revised: 06/14/2018] [Accepted: 06/18/2018] [Indexed: 11/17/2022]
Abstract
BACKGROUND Transmission of infection through international travel is a growing health issue, and the frequency of imported infection is increasing in China. We aimed to quantify the total number of infections imported into mainland China by arriving travellers. METHODS We actively surveyed arriving travellers at all 272 international entry-exit ports in mainland China. Suspected cases were detected through fever screening, medical inspection, self-declaration, and reporting by on-board staff. Participants completed a standardised questionnaire with questions about demographics, their travel itinerary (including detailed information about all countries or regions visited), and clinical manifestations. Nasopharyngeal swabs, sputum samples, faecal samples, vomitus, blood, and serum were collected as appropriate for diagnoses. Diagnosis was made by specific laboratory tests according to the national technical guidelines. Infections were classified as respiratory, gastrointestinal, vector-borne, blood-transmitted and sex-transmitted, or mucocutaneous. We divided arriving travellers into two groups: travellers coming from countries other than China, and travellers coming from Hong Kong, Macau, and Taiwan. We integrated surveillance data for 2014-16, calculated incidences of travel-related infections, and compared the frequency of infections among subgroups. FINDINGS Between Jan 1, 2014, and Dec 31, 2016, 22 797 cases were identified among 805 993 392 arriving travellers-an overall incidence of 28·3 per million. 45 pathogens were detected in participants: 18 respiratory (19 662 cases), ten gastrointestinal (189 cases), seven vector-borne (831 cases), seven blood-transmitted and sex-transmitted (1531 cases), and three mucocutaneous (584 cases). Both the overall number and incidence of infection were more than five times higher in 2016 than in 2014. Case numbers and incidences also varied substantially by province, autonomous region, and municipality. Overall, 17 643 (77%) infections were detected by fever screening, but 753 (49%) blood-transmitted and sex-transmitted infections were identified through medical inspection. 14 305 (73%) cases of respiratory infection and 96 (51%) of gastrointestinal infections were in tourists. Tuberculosis, hepatitis A virus, vector-borne, and blood-transmitted and sex-transmitted infections were common among Chinese labourers who worked abroad. Dengue and malaria were most commonly diagnosed in travellers arriving from Africa. 12 126 (93%) of the 12 985 cases arriving from Hong Kong, Macau, or Taiwan were respiratory infections. Hand, foot, and mouth disease accounted for 2·90% of infections in travellers from Hong Kong, Macau, or Taiwan and 0·31% of infections in international travellers. INTERPRETATION This report is the first to characterise the profile of travel-related infections among arriving travellers in mainland China. Our findings should increase public awareness of the potential risk of imported infections, and help health-care providers to make evidence-based health recommendations to travellers. FUNDING The Natural Science Foundation of China.
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Affiliation(s)
- Li-Qun Fang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China; Institute of EcoHealth, Shandong University, Jinan, China
| | - Yu Sun
- Institute of EcoHealth, Shandong University, Jinan, China; University of Chinese Academy of Sciences, Beijing, China
| | - Guo-Ping Zhao
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China; The Logistics University of the Chinese People's Armed Police Force, Tianjin, China
| | - Li-Juan Liu
- Institute of Health Quarantine, The Chinese Academy of Inspection and Quarantine, Beijing, China
| | - Zhe-Jun Jiang
- Institute of Health Services and Transfusion Medicine, Academy of Military Medical Science, Beijing, China
| | - Zheng-Wei Fan
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Jing-Xue Wang
- Institute of Health Services and Transfusion Medicine, Academy of Military Medical Science, Beijing, China
| | - Yang Ji
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Mai-Juan Ma
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China; Institute of EcoHealth, Shandong University, Jinan, China
| | - Juan Teng
- State Key Surveillance Laboratory of Vector-borne Infectious Diseases, Hainan Customs District, Haikou, China
| | - Yan Zhu
- International Travel Healthcare Center, Xining Customs District, Xining, China
| | - Ping Yu
- Xi'an Xian Yang Airport Customs House, Xian Yang, China
| | - Kai Li
- International Travel Healthcare Center, Ningxia Customs District, Yinchuan, China
| | - Ying-Jie Tian
- University of Chinese Academy of Sciences, Beijing, China
| | - Wu-Chun Cao
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China; Institute of EcoHealth, Shandong University, Jinan, China.
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Ding G, Zhu G, Cao C, Miao P, Cao Y, Wang W, Gu Y, Xu S, Wang S, Zhou H, Cao J. The challenge of maintaining microscopist capacity at basic levels for malaria elimination in Jiangsu Province, China. BMC Public Health 2018; 18:489. [PMID: 29650008 PMCID: PMC5898017 DOI: 10.1186/s12889-018-5307-y] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2017] [Accepted: 03/13/2018] [Indexed: 12/21/2022] Open
Abstract
Background Local malaria transmission has decreased rapidly since the National Malaria Elimination Action Plan was launched in China in 2010. However, imported malaria cases from Africa and Southeast Asia still occur in China due to overseas laborers. Diagnosis by microscopy is the gold standard for malaria and is used in most hospitals in China. However, the current capacity of microscopists to manage malaria cases in hospitals and public health facilities to meet the surveillance needs to eliminate and prevent the reintroduction of malaria is unknown. Methods Malaria diagnoses were assessed by comparing the percentage of first visit and confirmed malaria diagnoses at Centers for Disease Control and Prevention (CDCs) and hospitals. The basic personnel information for public health departments and hospitals at different levels was investigated. The skills of microscopists for blood smear preparation and slide interpretation were also examined at the county and township levels. Results Inaccurate rate with 13.49% and 7.32%, respectively, in 2013 and 2014, from 341 and 355 reported cases from sub-provincial levels in Jiangsu province. Most of the 523 malaria cases reported in Nantong Prefecture from 2000 to 2014 involved patients who first visited county CDCs seeking treatment, however, none of these cases received confirmed diagnosis of malaria in townships or villages.The staff at county CDCs and hospitals with a higher education background performed better at making and interpreting blood smears than staff from townships. Conclusions The network for malaria elimination in an entire province has been well established. However, an insufficient capacity for malaria diagnosis was observed, especially the preparing and reading the blood smears at the township and village levels, which is a challenge to achieving and maintaining malaria elimination.
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Affiliation(s)
- Guisheng Ding
- Nantong Center for Diseases Control and Prevention, Nantong, Jiangsu Province, People's Republic of China
| | - Guoding Zhu
- Key Laboratory of National Health and Family Planning Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu Province, People's Republic of China
| | - Caiqun Cao
- Nantong Center for Diseases Control and Prevention, Nantong, Jiangsu Province, People's Republic of China
| | - Ping Miao
- Rudong Center for Diseases Control and Prevention, Nantong, Jiangsu Province, People's Republic of China
| | - Yuanyuan Cao
- Key Laboratory of National Health and Family Planning Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu Province, People's Republic of China
| | - Weiming Wang
- Key Laboratory of National Health and Family Planning Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu Province, People's Republic of China
| | - Yaping Gu
- Key Laboratory of National Health and Family Planning Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu Province, People's Republic of China
| | - Sui Xu
- Key Laboratory of National Health and Family Planning Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu Province, People's Republic of China
| | - Shengqiang Wang
- Wuxi Enter-Exit Inspection and Quarantine Bureau, Jiangsu Province, People's Republic of China
| | - Huayun Zhou
- Key Laboratory of National Health and Family Planning Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu Province, People's Republic of China.
| | - Jun Cao
- Key Laboratory of National Health and Family Planning Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu Province, People's Republic of China. .,Public Health Research Center, Jiangnan University, Wuxi, People's Republic of China.
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Hundessa S, Li S, Liu DL, Guo J, Guo Y, Zhang W, Williams G. Projecting environmental suitable areas for malaria transmission in China under climate change scenarios. ENVIRONMENTAL RESEARCH 2018; 162:203-210. [PMID: 29353124 DOI: 10.1016/j.envres.2017.12.021] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/03/2017] [Revised: 11/23/2017] [Accepted: 12/22/2017] [Indexed: 06/07/2023]
Abstract
INTRODUCTION The proportion of imported malaria cases in China has increased over recent years, and has presented challenges for the malaria elimination program in China. However, little is known about the geographic distribution and environmental suitability for malaria transmission under projected climate change scenarios. METHODS Using the MaxEnt model based on malaria presence-only records, we produced environmental suitability maps and examined the relative contribution of topographic, demographic, and environmental risk factors for P. vivax and P. falciparum malaria in China. RESULTS The MaxEnt model estimated that environmental suitability areas (ESAs) for malaria cover the central, south, southwest, east and northern regions, with a slightly wider range of ESAs extending to the northeast region for P. falciparum. There was spatial agreement between the location of imported cases and area environmentally suitable for malaria transmission. The ESAs of P. vivax and P. falciparum are projected to increase in some parts of southwest, south, central, north and northeast regions in the 2030s, 2050s, and 2080s, by a greater amount for P. falciparum under the RCP8.5 scenario. Temperature and NDVI values were the most influential in defining the ESAs for P. vivax, and temperature and precipitation the most influential for P. falciparum malaria. CONCLUSION This study estimated that the ESA for malaria transmission in China will increase with climate change and highlights the potential establishment of further local transmission. This model should be used to support malaria control by targeting areas where interventions on malaria transmission need to be enhanced.
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Affiliation(s)
- Samuel Hundessa
- Division of Epidemiology and Biostatistics, School of Public Health, University of Queensland, Brisbane 4006, Australia
| | - Shanshan Li
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
| | - De Li Liu
- NSW Department of Primary Industries, WaggaWagga Agricultural Institute, New South Wales 2650, Wagga Wagga, Australia
| | - Jinpeng Guo
- Institutefor Disease Control and Prevention of PLA, Beijing 100039, People's Republic of China
| | - Yuming Guo
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia.
| | - Wenyi Zhang
- Institutefor Disease Control and Prevention of PLA, Beijing 100039, People's Republic of China.
| | - Gail Williams
- Division of Epidemiology and Biostatistics, School of Public Health, University of Queensland, Brisbane 4006, Australia
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Feng X, Zhou X, Zhou S, Wang J, Hu W. Analysis of microRNA profile of Anopheles sinensis by deep sequencing and bioinformatic approaches. Parasit Vectors 2018. [PMID: 29530087 PMCID: PMC5848538 DOI: 10.1186/s13071-018-2734-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND microRNAs (miRNAs) are small non-coding RNAs widely identified in many mosquitoes. They are reported to play important roles in development, differentiation and innate immunity. However, miRNAs in Anopheles sinensis, one of the Chinese malaria mosquitoes, remain largely unknown. METHODS We investigated the global miRNA expression profile of An. sinensis using Illumina Hiseq 2000 sequencing. Meanwhile, we applied a bioinformatic approach to identify potential miRNAs in An. sinensis. The identified miRNA profiles were compared and analyzed by two approaches. The selected miRNAs from the sequencing result and the bioinformatic approach were confirmed with qRT-PCR. Moreover, target prediction, GO annotation and pathway analysis were carried out to understand the role of miRNAs in An. sinensis. RESULTS We identified 49 conserved miRNAs and 12 novel miRNAs by next-generation high-throughput sequencing technology. In contrast, 43 miRNAs were predicted by the bioinformatic approach, of which two were assigned as novel. Comparative analysis of miRNA profiles by two approaches showed that 21 miRNAs were shared between them. Twelve novel miRNAs did not match any known miRNAs of any organism, indicating that they are possibly species-specific. Forty miRNAs were found in many mosquito species, indicating that these miRNAs are evolutionally conserved and may have critical roles in the process of life. Both the selected known and novel miRNAs (asi-miR-281, asi-miR-184, asi-miR-14, asi-miR-nov5, asi-miR-nov4, asi-miR-9383, and asi-miR-2a) could be detected by quantitative real-time PCR (qRT-PCR) in the sequenced sample, and the expression patterns of these miRNAs measured by qRT-PCR were in concordance with the original miRNA sequencing data. The predicted targets for the known and the novel miRNAs covered many important biological roles and pathways indicating the diversity of miRNA functions. We also found 21 conserved miRNAs and eight counterparts of target immune pathway genes in An. sinensis based on the analysis of An. gambiae. CONCLUSIONS Our results provide the first lead to the elucidation of the miRNA profile in An. sinensis. Unveiling the roles of mosquito miRNAs will undoubtedly lead to a better understanding of mosquito biology and mosquito-pathogen interactions. This work lays the foundation for the further functional study of An. sinensis miRNAs and will facilitate their application in vector control.
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Affiliation(s)
- Xinyu Feng
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Key Laboratory of Parasite and Vector Biology, National Health and Family Planning Commission, WHO Collaborating Center for Tropical Diseases, National Center for International Research on Tropical Diseases, Shanghai, 200025, People's Republic of China.,Joint Research Laboratory of Genetics and Ecology on Parasites-hosts Interaction, National Institute of Parasitic Diseases - Fudan University, Shanghai, 200025, China
| | - Xiaojian Zhou
- Institute of Software Engineering, Zhejiang University, Hangzhou, 310011, China
| | - Shuisen Zhou
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Key Laboratory of Parasite and Vector Biology, National Health and Family Planning Commission, WHO Collaborating Center for Tropical Diseases, National Center for International Research on Tropical Diseases, Shanghai, 200025, People's Republic of China.
| | - Jingwen Wang
- State Key Laboratory of Genetic Engineering, Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, 200438, People's Republic of China.
| | - Wei Hu
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Key Laboratory of Parasite and Vector Biology, National Health and Family Planning Commission, WHO Collaborating Center for Tropical Diseases, National Center for International Research on Tropical Diseases, Shanghai, 200025, People's Republic of China. .,State Key Laboratory of Genetic Engineering, Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, 200438, People's Republic of China.
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Lu G, Liu Y, Wang J, Li X, Liu X, Beiersmann C, Feng Y, Cao J, Müller O. Malaria training for community health workers in the setting of elimination: a qualitative study from China. Malar J 2018; 17:95. [PMID: 29475439 PMCID: PMC5824442 DOI: 10.1186/s12936-018-2229-1] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2017] [Accepted: 02/13/2018] [Indexed: 12/17/2022] Open
Abstract
Background Continuous training of health workers is a key intervention to maintain their good performance and keep their vigilance during malaria elimination programmes. However, countries progressing toward malaria elimination have a largely decreased malaria disease burden, less frequent exposure of health workers to malaria patients, and new challenges in the epidemiology of the remaining malaria cases. Moreover, competing health priorities and usually a decline in resources and in political commitment also pose challenges to the elimination programme. As a consequence, the acceptability, sustainability, and impact of malaria training and education programmes face challenges. However, little is known of the perceptions and expectations of malaria training and education programmes of health workers being engaged in countries with malaria elimination programmes. Methods This qualitative study provides information on perceptions and expectations of health workers of malaria training programmes from China, which aims to malaria elimination by the year 2020. This study was embedded into a larger study on the challenges and lessons learned during the malaria surveillance strategy in China, involving 42 interviews with malaria experts, health staff, laboratory practitioners, and village doctors at the provincial, city, county, township, and village levels from Gansu province (northwestern China) and Jiangsu province (southeastern China). Results In the context of an increasing number of imported malaria cases in China, the majority of respondents emphasized the necessity and importance of such programmes and complained about a decreasing frequency of training courses. Moreover, they called for innovative strategies to improve the implementation and sustainability of the malaria training programmes until the elimination goal has been achieved. Perceptions and expectations of health workers from different health centres were quite different. Health workers from higher-level facilities were more concerned about technical training aspects, while health workers from periphery of the health system expected to receive more training on field work coordination and on specific public health actions with regard to case detection and focus investigation. Conclusions There is need to guarantee an ongoing good training of health workers in China on malaria aspects until the year 2020 and probably beyond.
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Affiliation(s)
- Guangyu Lu
- Medical College of Yangzhou University, Yangzhou University, Yangzhou, 225001, China. .,Institute of Public Health, Medical School, The Ruprecht-Karls-Universität Heidelberg, INF 324, Bergheimerstraße 20, 69120, Heidelberg, Germany.
| | - Yaobao Liu
- Key Laboratory of National Health and Family Planning Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, China
| | - Jinsong Wang
- Medical College of Yangzhou University, Yangzhou University, Yangzhou, 225001, China
| | - Xiangming Li
- Medical College of Yangzhou University, Yangzhou University, Yangzhou, 225001, China
| | - Xing Liu
- Medical College of Yangzhou University, Yangzhou University, Yangzhou, 225001, China
| | - Claudia Beiersmann
- Institute of Public Health, Medical School, The Ruprecht-Karls-Universität Heidelberg, INF 324, Bergheimerstraße 20, 69120, Heidelberg, Germany
| | - Yu Feng
- Gansu Provincial Center for Disease Control and Prevention, Lanzhou, China
| | - Jun Cao
- Key Laboratory of National Health and Family Planning Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, China. .,Public Health Research Center, Jiangnan University, Wuxi, China.
| | - Olaf Müller
- Institute of Public Health, Medical School, The Ruprecht-Karls-Universität Heidelberg, INF 324, Bergheimerstraße 20, 69120, Heidelberg, Germany
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Zhang X, Yao L, Sun J, Pan J, Chen H, Zhang L, Ruan W. Malaria in Southeastern China from 2012 to 2016: Analysis of Imported Cases. Am J Trop Med Hyg 2018; 98:1107-1112. [PMID: 29488463 PMCID: PMC5928818 DOI: 10.4269/ajtmh.17-0476] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
To study the epidemiological distribution and the incident trends of imported malaria from 2012 to 2016 in Zhejiang Province, southeastern China, we collected data on malaria from the Information System for Parasitic Disease Control and Prevention. A total of 1,003 malaria cases were reported during 2012–2016, and all of these cases were imported. Plasmodium falciparum was the predominant species (76.3%) in Zhejiang Province. The percentage of Plasmodium vivax decreased from 33.6% to 8.1%, whereas the percentage of Plasmodium ovale and Plasmodium malariae increased. Most cases were male (89.8%), mostly in the age group of 21–50 years (82.6%). Businessmen (33.0%), workers (21.0%), farmers (18.8%), and overseas laborers (11.7%) were at high risk. The origin of the largest number of imported cases was Africa (89.5%), followed by Asia (10.0%) and Oceania (0.5%). The time interval from illness onset to confirmation was found to be significantly associated with the complications of patients. Out of 3,461 febrile individuals tested during reactive case detection, 10 malaria-positive individuals were identified. Effective surveillance and response system should be strengthened to prevent the reintroduction of malaria.
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Affiliation(s)
- Xuan Zhang
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, PR China
| | - Linong Yao
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, PR China
| | - Jimin Sun
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, PR China
| | - Jinren Pan
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, PR China
| | - Hualiang Chen
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, PR China
| | - Lingling Zhang
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, PR China
| | - Wei Ruan
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, PR China
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