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Revolteado MJ, Sato MO, Valencia J, Jiz M, Cervantes E, Aniceto R, Inobaya M, Gray D, Gordon CA, Cai P, Sako Y, Sato M. Seasonality and dynamics of schistosomiasis in the environment: usefulness of environmental DNA (eDNA) surveillance system at a community level for risk mapping schistosomiasis in Ekiran Village, Leyte, Philippines. mSphere 2025; 10:e0106124. [PMID: 40135903 PMCID: PMC12039233 DOI: 10.1128/msphere.01061-24] [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: 12/13/2024] [Accepted: 02/20/2025] [Indexed: 03/27/2025] Open
Abstract
Schistosomiasis, primarily caused by Schistosoma japonicum (Sj) in Asia, remains a major health concern in the Philippines, affecting 12.4 million people and causing symptoms like fever, abdominal pain, and hepatosplenomegaly. Chronic disease leads to stunting in children, and reinfection persists despite efforts to reduce morbidity. Current strategies focused on mass drug administration (MDA) and sporadic snail surveys, leaving gaps in monitoring and mitigating schistosomiasis transmission in the environment. To address these issues, this study refined an environmental DNA (eDNA)-based qualitative real-time polymerase chain reaction assay by making it field-applicable and multiplex, to detect both the parasite S. japonicum and its intermediate snail host, Oncomelania hupensis quadrasi (Ohq), using water samples. We surveyed the 30 sentinel sites quarterly-from July 2023 to March 2024-in Ekiran Village, Alangalang, Leyte, Philippines. Collectively, the eDNA of O.h. quadrasi was detected in 18 sites and that of S. japonicum eDNA was detected in 16 sites, while direct snail observation confirmed the presence in only five sites, with infected snails found in only one site. Consequently, the assay described temporal variation of Ohq and Sj, revealing the dynamics of Ohq colonies and Sj in Ekiran's water sources. The eDNA confirmed the focality of Ohq and showed the erratic presence of Sj. Interestingly, both target species' eDNA was observed more during the rainy season (December and March), which suggests a higher infection probability during this period. Integrating eDNA detection system with the existing control programs will enhance the identification of transmission hotspots, which may aid in reducing exposure risk for both humans and animals in the endemic areas. IMPORTANCE This study aimed to fill the gaps in monitoring and mitigating schistosomiasis transmission in the environment. This field-applicable environmental DNA (eDNA)-based qualitative real-time polymerase chain reaction (qPCR) detection system focused on effectively detecting Schistosoma japonicum and its snail intermediate host, Oncomelania hupensis quadrasi, at the community level, moving from the traditional detection methods that are labor-intensive, less sensitive, and exposing surveyors to potential risk of infection. By introducing a field-applicable eDNA-based qPCR assay, this research provides a sensitive, non-invasive, and rapid molecular method for detecting S. japonicum and O.h. quadrasi in the environment. Additionally, the study not only provided insights in enhanced surveillance strategies but also contributed to a holistic eco-health approach by generating hazard maps for potential transmission and contamination sites, which could improve future control efforts and resource allocation for schistosomiasis elimination.
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Affiliation(s)
- Mark June Revolteado
- Graduate School of Health Sciences, Niigata University, Niigata, Niigata Prefecture, Japan
| | - Marcello Otake Sato
- Division of Global Environment Parasitology, Faculty of Medical Technology, Niigata University of Pharmacy and Medical and Life Sciences, Niigata, Niigata Prefecture, Japan
| | - Joseph Valencia
- Graduate School of Health Sciences, Niigata University, Niigata, Niigata Prefecture, Japan
- Immunology Department, Research Institute for Tropical Medicine, Philippine Department of Health, Muntinlupa, Metro Manila, Philippines
| | - Mario Jiz
- Immunology Department, Research Institute for Tropical Medicine, Philippine Department of Health, Muntinlupa, Metro Manila, Philippines
| | - Eleonor Cervantes
- Immunology Department, Research Institute for Tropical Medicine, Philippine Department of Health, Muntinlupa, Metro Manila, Philippines
| | - Ralph Aniceto
- Immunology Department, Research Institute for Tropical Medicine, Philippine Department of Health, Muntinlupa, Metro Manila, Philippines
| | - Marianette Inobaya
- Department of Epidemiology and Biostatistics, Research Institute for Tropical Medicine, Philippine Department of Health, Muntilupa, Metro Manila, Philippines
| | - Darren Gray
- Global Health & Tropical Medicine, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Catherine A. Gordon
- Applied Tropical and Molecular Parasitology Laboratory, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
- Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia
| | - Pengfei Cai
- Molecular Parasitology Laboratory, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Yasuhito Sako
- Division of Parasitology, Department of Infectious Diseases, Asahikawa Medical University, Asahikawa, Hokkaido Prefecture, Japan
| | - Megumi Sato
- Graduate School of Health Sciences, Niigata University, Niigata, Niigata Prefecture, Japan
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Li X, Zhang Y, Zhang Q, Liu J, Zhu Z, Feng X, Han L, Zhang X. Strategy and mechanism of One Health governance: case study of China. SCIENCE IN ONE HEALTH 2024; 4:100098. [PMID: 39897121 PMCID: PMC11786842 DOI: 10.1016/j.soh.2024.100098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/29/2024] [Accepted: 11/29/2024] [Indexed: 02/04/2025]
Abstract
Background Strategy and mechanism are crucial components of One Health governance in China, designed to address the interconnected health issues between humans, animals, and the environment. This study aims to evaluate China's current One Health governance framework, identify key strengths and gaps, and provide recommendations for establishing a more integrated and effective system. Methods A qualitative approach was employed, including in-depth interviews, policy analysis, and a review of existing literature, to evaluate the strengths and gaps in China's One Health framework. Results The analysis identified progress and challenges in six key areas: (1) political commitment: strong national support exists, but lacks a unified strategy; (2) legislation and regulation: notable legislative efforts are in place, yet they remain fragmented; (3) leadership building: effective leadership structures have been established during crises but are not institutionalized; (4) strategic planning: initial regional planning is underway, but a comprehensive national focus is needed; (5) coordination and communication: mechanisms exist but require formalized, consistent information-sharing channels; (6) stakeholder engagement: public and academic awareness is growing, yet local community involvement needs strengthening. Conclusion To advance its One Health governance, China must focus on creating a unified strategy, enhancing interdepartmental coordination, and deepening stakeholder engagement, ensuring its alignment with international standards and improving public health outcomes.
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Affiliation(s)
- Xinchen Li
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- Institute of One Health, Shanghai Jiao Tong University, Shanghai 200025, China
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Yanyan Zhang
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- Institute of One Health, Shanghai Jiao Tong University, Shanghai 200025, China
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Qiyu Zhang
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- Institute of One Health, Shanghai Jiao Tong University, Shanghai 200025, China
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Jingshu Liu
- National Institute of Parasitic Diseases at 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, Shanghai 200025, China
| | - Zelin Zhu
- National Institute of Parasitic Diseases at 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, Shanghai 200025, China
| | - Xinyu Feng
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- Institute of One Health, Shanghai Jiao Tong University, Shanghai 200025, China
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Lefei Han
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- Institute of One Health, Shanghai Jiao Tong University, Shanghai 200025, China
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Xiaoxi Zhang
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- Institute of One Health, Shanghai Jiao Tong University, Shanghai 200025, China
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
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Lv C, Chen Y, Cheng Z, Zhu Y, Chen W, Zhou N, Chen Y, Li Y, Deng W, Guo X, Li M, Xu J. Global burden of zoonotic infectious diseases of poverty, 1990-2021. Infect Dis Poverty 2024; 13:82. [PMID: 39506825 PMCID: PMC11539463 DOI: 10.1186/s40249-024-01252-x] [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: 06/27/2024] [Accepted: 10/12/2024] [Indexed: 11/08/2024] Open
Abstract
BACKGROUND The zoonotic infectious diseases of poverty (zIDPs) are a group of diseases contributing to global poverty, with significant impacts on a substantial population. This study aims to describe the global, regional, and national burden of zIDPs-schistosomiasis, cystic echinococcosis, cysticercosis, and food-borne trematodiases (FBTs)-to support policy making and resource allocation for their control and elimination. METHODS Data of zIDPs from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 were retrieved from 1990 to 2021. The age-standardized prevalence rate (ASPR), age-standardized mortality rate (ASMR), and age-standardized disability-adjusted life-year (DALY) rate were described and the estimated annual percentage changes (EAPCs) were calculated to quantify their burden and temporal trends. Spearman correlation analysis was conducted to examine the relationship between age-standardized rates and Socio-demographic Index (SDI). RESULTS In 2021, these zIDPs exhibited a certain level of ASPRs and age-standardized DALY rates, while maintaining relatively low ASMRs. Noticeably, schistosomiasis presented the highest ASPR of 1914.299 (95% UI: 1378.920, 2510.853 per 100,000 population) and an age-standardized DALY rate of 21.895 (95% UI: 12.937, 37.278 per 100,000 population) among the zIDPs. The tapestry of burden-woven predominantly through low and lower-middle SDI regions-stretched across Africa, Latin America, and parts of Asia. From 1990 to 2021, a kaleidoscopic shift was observed globally as ASPRs, ASMRs, and age-standardized DALY rates declined significantly, as reflected by the EAPC values. Negative correlations were observed between the ASPRs, ASMRs, age-standardized DALY rates of schistosomiasis (r value = - 0.610, - 0.622 and - 0.610), cystic echinococcosis (- 0.676 of ASMR, - 0.550 of age-standardized DALYs), cysticercosis (- 0.420, - 0.797 and - 0.591) and the SDI. In contrast, a slight positive correlation was noted between the ASPR, age-standardized DALY rates of FBTs and SDI with r value of 0.221 and 0.213, respectively. CONCLUSION The burden of zIDPs declined across almost all endemic regions from 1990 to 2021, yet still predominated in low and low-middle SDI regions. Substantial challenges exist to achieve the goal of control and elimination of zIDPs, and integrated approaches based on One Health need to be strengthened to improve health outcomes.
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Affiliation(s)
- Chao Lv
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- 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, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, WHO Collaborating Centre for Tropical Diseases, National Center for International Research On Tropical Diseases, Shanghai, China
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yiwen Chen
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zile Cheng
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yongzhang Zhu
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Weiye Chen
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Nan Zhou
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yiming Chen
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yinlong Li
- 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, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, WHO Collaborating Centre for Tropical Diseases, National Center for International Research On Tropical Diseases, Shanghai, China
| | - Wangping Deng
- 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, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, WHO Collaborating Centre for Tropical Diseases, National Center for International Research On Tropical Diseases, Shanghai, China
| | - Xiaokui Guo
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- 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, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, WHO Collaborating Centre for Tropical Diseases, National Center for International Research On Tropical Diseases, Shanghai, China
| | - Min Li
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
| | - Jing Xu
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
- 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, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, WHO Collaborating Centre for Tropical Diseases, National Center for International Research On Tropical Diseases, Shanghai, China.
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Zumuk CP, Jones MK, Navarro S, Gray DJ, You H. Transmission-Blocking Vaccines against Schistosomiasis Japonica. Int J Mol Sci 2024; 25:1707. [PMID: 38338980 PMCID: PMC10855202 DOI: 10.3390/ijms25031707] [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: 12/23/2023] [Revised: 01/19/2024] [Accepted: 01/21/2024] [Indexed: 02/12/2024] Open
Abstract
Control of schistosomiasis japonica, endemic in Asia, including the Philippines, China, and Indonesia, is extremely challenging. Schistosoma japonicum is a highly pathogenic helminth parasite, with disease arising predominantly from an immune reaction to entrapped parasite eggs in tissues. Females of this species can generate 1000-2200 eggs per day, which is about 3- to 15-fold greater than the egg output of other schistosome species. Bovines (water buffalo and cattle) are the predominant definitive hosts and are estimated to generate up to 90% of parasite eggs released into the environment in rural endemic areas where these hosts and humans are present. Here, we highlight the necessity of developing veterinary transmission-blocking vaccines for bovines to better control the disease and review potential vaccine candidates. We also point out that the approach to producing efficacious transmission-blocking animal-based vaccines before moving on to human vaccines is crucial. This will result in effective and feasible public health outcomes in agreement with the One Health concept to achieve optimum health for people, animals, and the environment. Indeed, incorporating a veterinary-based transmission vaccine, coupled with interventions such as human mass drug administration, improved sanitation and hygiene, health education, and snail control, would be invaluable to eliminating zoonotic schistosomiasis.
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Affiliation(s)
- Chika P. Zumuk
- Infection and Inflammation Program, QIMR Berghofer Medical Research Institute, Herston, QLD 4006, Australia; (C.P.Z.); (M.K.J.); (S.N.)
- Faculty of Medicine, The University of Queensland, Herston, QLD 4006, Australia
| | - Malcolm K. Jones
- Infection and Inflammation Program, QIMR Berghofer Medical Research Institute, Herston, QLD 4006, Australia; (C.P.Z.); (M.K.J.); (S.N.)
- School of Veterinary Science, The University of Queensland, Gatton, QLD 4343, Australia
| | - Severine Navarro
- Infection and Inflammation Program, QIMR Berghofer Medical Research Institute, Herston, QLD 4006, Australia; (C.P.Z.); (M.K.J.); (S.N.)
- Faculty of Medicine, The University of Queensland, Herston, QLD 4006, Australia
- Centre for Childhood Nutrition Research, Faculty of Health, Queensland University of Technology, Brisbane, QLD 4000, Australia
| | - Darren J. Gray
- Population Health Program, QIMR Berghofer Medical Research Institute, Herston, QLD 4006, Australia;
| | - Hong You
- Infection and Inflammation Program, QIMR Berghofer Medical Research Institute, Herston, QLD 4006, Australia; (C.P.Z.); (M.K.J.); (S.N.)
- School of Veterinary Science, The University of Queensland, Gatton, QLD 4343, Australia
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Guo ZY, Zheng J, Li SZ, Zhou XN. Orientation of One Health development: think globally and act locally. SCIENCE IN ONE HEALTH 2023; 2:100042. [PMID: 39077032 PMCID: PMC11262291 DOI: 10.1016/j.soh.2023.100042] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/15/2023] [Accepted: 09/27/2023] [Indexed: 07/31/2024]
Abstract
One Health is dedicated to maintaining and fostering a dynamic balance among humans, animals, and the environment. Since 2013, it has seen considerable developments globally. This review aims to encapsulate the history of One Health, as well as chart its future trajectory. Numerous research institutions founded under the principles of One Health have been established, and several pragmatic projects are currently underway. While it is imperative to solidify foundational education, further policy support is required to cultivate the One Health paradigm. Identifying research directions at a political level is necessary to provide the technical support needed for practical application. The future of One Health envisions a comprehensive approach to primary prevention, the utilization of open and shared data sets, as well as real-world surveys and interviews. This integrated approach is encapsulated in the concept of One Health Delivery. At this stage, One Health Delivery needs to build a systematic framework that focuses on integrating and communicating across disciplines and training researchers with complete practical skills.
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Affiliation(s)
- Zhao-Yu Guo
- National Institute of Parasitic Diseases at 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, Shanghai, People's Republic of China
| | - Jinxin Zheng
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
- Department of Nephrology, Institute of Nephrology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - Shi-Zhu Li
- National Institute of Parasitic Diseases at 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, Shanghai, People's Republic of China
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
- One Health Center, Shanghai Jiao Tong University-The University of Edinburgh, Shanghai, People's Republic of China
| | - Xiao-Nong Zhou
- National Institute of Parasitic Diseases at 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, Shanghai, People's Republic of China
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
- One Health Center, Shanghai Jiao Tong University-The University of Edinburgh, Shanghai, People's Republic of China
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Yan W, Dibo N, Cao Y, Peng W, Tang C, Huang S. Exorchis sp. in the catfish Silurus asotus and Oncomelania hupensis in marshlands of Poyang Lake, China: A potential biological control tool for Schistosoma japonicum. Int J Parasitol Parasites Wildl 2023; 21:129-133. [PMID: 37215532 PMCID: PMC10192753 DOI: 10.1016/j.ijppaw.2023.04.013] [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: 03/24/2023] [Revised: 04/28/2023] [Accepted: 04/28/2023] [Indexed: 05/24/2023]
Abstract
Oncomelania hupensis is the obligate intermediate host of Schistosoma japonicum, highlighting the medical importance of interrupting this unique and long-standing parasite-host interaction in controlling schistosomiasis transmission. It has been reported that a catfish trematode Exorchis sp. could have the potential to function as an effective anti-schistosomal agent in the snail host. However, the feasibility of this eco-friendly biological control strategy should be comprehensively investigated and evaluated in endemic areas for schistosomiasis. In this study, a field survey was conducted from 2012 to 2016 in the marshlands of Poyang Lake, which is one of the highly endemic regions for schistosomiasis in China. Results showed that more than half of Silurus asotus (65.79%) were infected with Exorchis sp., and the average intensity of infection was 14.21 per fish. And the average infection rate of Exorchis sp. in O. hupensis is 1.11%. These findings indicated that there are abundant biological resources for the implementation of this biology control strategy in the marshlands of Poyang Lake. The data presented here provide solid evidences for the practical application of this biological control strategy, thereby contributing to achieving the goals of the elimination of schistosomiasis.
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Affiliation(s)
- Wenguang Yan
- Department of Rehabilitation Medicine, The Third Xiangya Hospital, Central South University, Changsha, 410013, China
| | - Nouhoum Dibo
- Department of Medical Parasitology, School of Basic Medical Sciences, Central South University, Changsha, 410013, China
| | - Yunchao Cao
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, 361102, China
| | - Wenfeng Peng
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, 361102, China
| | - Chongti Tang
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, 361102, China
| | - Shuaiqin Huang
- Department of Medical Parasitology, School of Basic Medical Sciences, Central South University, Changsha, 410013, China
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Zheng N, Wang H, Yu Q, Wang C, Bai CG, Pan AF, Jiang J, Lu J, Dai SM, Mei Z, Zhang W, Gao XH. Changing trends, clinicopathological characteristics, surgical treatment patterns, and prognosis of schistosomiasis-associated versus non-schistosomiasis-associated colorectal cancer: a large retrospective cohort study of 31 153 cases in Shanghai, China (2001-2021). Int J Surg 2023; 109:772-784. [PMID: 36999800 PMCID: PMC10389396 DOI: 10.1097/js9.0000000000000293] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2022] [Accepted: 02/13/2023] [Indexed: 04/01/2023]
Abstract
BACKGROUND With the elimination of schistosomiasis in China, its role in the pathogenesis of colorectal cancer (CRC) has decreased. However, the trends, clinicopathological features, surgical treatment patterns, and prognosis of schistosomiasis-associated CRC (SACRC) versus non-schistosomiasis-associated CRC (NSACRC) in China remain unclear. MATERIALS AND METHODS The percentage trend of SACRC in CRC patients in China was analyzed using data retrieved from the Pathology Registry of Changhai Hospital (2001-2021). Clinicopathological characteristics, surgical treatment patterns, and prognosis-related parameters were compared between the two groups. Multivariate Cox regression analyses were performed for disease-free survival (DFS) and overall survival (OS). RESULTS A total of 31 153 CRC cases were included, with 823 (2.6%) cases of SACRC and 30 330 (97.4%) cases of NSACRC. The average percentage of SACRC cases has decreased continuously from 3.8 to 1.7% (from 2001 to 2021). Compared with the NSACRC group, the SACRC group had more men, older age at diagnosis, lower BMI, fewer symptoms; higher rates of rectal cancer, comorbidities, KRAS mutation, multiple primary CRC and concomitant polyps; less lymph node metastasis, distant metastasis, vascular invasion, and tumor budding; less preoperative radiotherapy and preoperative chemotherapy; and more positive resection margins and postoperative targeted therapy. There were no significant differences between the two groups regarding laparoscopic surgery, palliative resection, extended radical resection, or ostomy. Moreover, the SACRC group had adverse DFS and similar OS compared with the NSACRC group. In multivariate analyses, schistosomiasis was not an independent predictor of DFS or OS. CONCLUSION The percentage of SACRC in CRC (2.6%) in our hospital was very low, and it decreased continuously over the last two decades, indicating that schistosomiasis is no longer an important risk factor for CRC in Shanghai, China. Patients with SACRC have distinct clinicopathological, molecular, and treatment-related features and survival rates similar to those with NSACRC.
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Affiliation(s)
- Nanxin Zheng
- Department of Colorectal Surgery, Changhai Hospital, Naval Medical University
- Hereditary Colorectal Cancer Center and Genetic Block Center of Familial Cancer, Changhai Hospital
| | - Hao Wang
- Department of Colorectal Surgery, Changhai Hospital, Naval Medical University
- Hereditary Colorectal Cancer Center and Genetic Block Center of Familial Cancer, Changhai Hospital
| | - Qing Yu
- Department of Parasitic Disease, Shanghai Municipal Center for Disease Control and Prevention
| | - Chen Wang
- Department of Colorectal Surgery, Changhai Hospital, Naval Medical University
- Hereditary Colorectal Cancer Center and Genetic Block Center of Familial Cancer, Changhai Hospital
| | - Chen Guang Bai
- Department of Pathology, Changhai Hospital, Naval Medical University
| | - An Fu Pan
- Department of Colorectal Surgery, Changhai Hospital, Naval Medical University
| | - Jianjun Jiang
- Department of Anorectal Surgery, Kongjiang Hospital, Yangpu District
| | - Jian Lu
- Department of Anorectal Surgery, Kongjiang Hospital, Yangpu District
| | - Si Min Dai
- Department of Parasitic Disease, Shanghai Municipal Center for Disease Control and Prevention
| | - Zubing Mei
- Department of Anorectal Surgery, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine
- Anorectal Disease Institute of Shuguang Hospital, Shanghai, People’s Republic of China
| | - Wei Zhang
- Department of Colorectal Surgery, Changhai Hospital, Naval Medical University
- Hereditary Colorectal Cancer Center and Genetic Block Center of Familial Cancer, Changhai Hospital
| | - Xian Hua Gao
- Department of Colorectal Surgery, Changhai Hospital, Naval Medical University
- Hereditary Colorectal Cancer Center and Genetic Block Center of Familial Cancer, Changhai Hospital
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Guo S, Dang H, Li Y, Zhang L, Yang F, He J, Cao C, Xu J, Li S. Sentinel Surveillance of Schistosomiasis - China, 2021. China CDC Wkly 2023; 5:278-282. [PMID: 37138895 PMCID: PMC10150751 DOI: 10.46234/ccdcw2023.050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Accepted: 03/13/2023] [Indexed: 05/05/2023] Open
Abstract
Introduction This report analyzes the national surveillance data for schistosomiasis in 2021 to understand the current status and provide evidence for further policy actions to promote elimination. This analysis is in line with the National Surveillance Plan of Schistosomiasis, which was revised in 2020 to adapt to the new stage of moving towards elimination. Methods Data from the 2021 national surveillance of schistosomiasis in humans, livestock, and snails were collected from 13 provincial-level administrative divisions (PLADs) and analyzed using descriptive epidemiological methodology. The antibody-positive rate and area of newly discovered and re-emergent snail habitats were calculated. Results In 2021, a total of 31,661 local residents and 101,558 transient population were screened for antibodies using indirect hemagglutination assay (IHA). Of those who tested positive, 745 local residents and 438 transient population underwent further parasitological examination, with only one stool-positive result in the transient population. Additionally, 12,966 livestock were examined using the miracidia hatching test, with no positives detected. The total area of newly discovered and re-emergent snail habitats was 957,702 m2 and 4,381,617 m2, respectively. No infected snails were found using the microscopic dissection method, but six pooled snail samples were reported as positive using the loop-mediated isothermal amplification method for detecting specific sequences of Schistosoma. japonicum, in Anhui and Jiangxi Provinces. Conclusions The prevalence of schistosomiasis among humans and livestock was found to be low, however, a potential transmission risk was identified in certain areas. To reduce the risk of transmission, a comprehensive control strategy should be continued and new techniques should be implemented in the surveillance and early warning system.
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Affiliation(s)
- Suying Guo
- 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
| | - Hui Dang
- 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
| | - Yinlong 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 Centre for Tropical Diseases; National Center for International Research on Tropical Diseases, Shanghai, China
| | - Lijuan Zhang
- 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
| | - Fan Yang
- 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
| | - Junyi He
- 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
| | - Chunli Cao
- 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
| | - Jing Xu
- 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
- Jing Xu,
| | - 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 Centre for Tropical Diseases; National Center for International Research on Tropical Diseases, Shanghai, China
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Walker M, Lambert S, Neves MI, Worsley AD, Traub R, Colella V. Modeling the effectiveness of One Health interventions against the zoonotic hookworm Ancylostoma ceylanicum. Front Med (Lausanne) 2023; 10:1092030. [PMID: 36960338 PMCID: PMC10028197 DOI: 10.3389/fmed.2023.1092030] [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: 11/07/2022] [Accepted: 02/14/2023] [Indexed: 03/09/2023] Open
Abstract
Hookworm disease is a major global public health concern, annually affecting 500-700 million of the world's poorest people. The World Health Organization is targeting the elimination of hookworm as a public health problem by 2030 using a strategy of mass drug administration (MDA) to at-risk human populations. However, in Southeast Asia and the Pacific the zoonotic hookworm species, Ancylostoma ceylanicum, is endemic in dogs and commonly infects people. This presents a potential impediment to the effectiveness of MDA that targets only humans. Here, we develop a novel multi-host (dog and human) transmission model of A. ceylanicum and compare the effectiveness of human-only and "One Health" (human plus dog) MDA strategies under a range of eco-epidemiological assumptions. We show that One Health interventions-targeting both dogs and humans-could suppress prevalence in humans to ≤ 1% by the end of 2030, even with only modest coverage (25-50%) of the animal reservoir. With increasing coverage, One Health interventions may even interrupt transmission. We discuss key unresolved questions on the eco-epidemiology of A. ceylanicum, the challenges of delivering MDA to animal reservoirs, and the growing importance of One Health interventions to human public health.
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Affiliation(s)
- Martin Walker
- Department of Pathobiology and Populations Sciences, Royal Veterinary College, Hatfield, United Kingdom
- Department of Infectious Disease Epidemiology, London Centre for Neglected Tropical Disease Research, Imperial College London, London, United Kingdom
| | - Sébastien Lambert
- Department of Pathobiology and Populations Sciences, Royal Veterinary College, Hatfield, United Kingdom
- Department of Infectious Disease Epidemiology, London Centre for Neglected Tropical Disease Research, Imperial College London, London, United Kingdom
- IHAP, INRAE, ENVT, Université de Toulouse, Toulouse, France
| | - M. Inês Neves
- Department of Pathobiology and Populations Sciences, Royal Veterinary College, Hatfield, United Kingdom
- Department of Infectious Disease Epidemiology, London Centre for Neglected Tropical Disease Research, Imperial College London, London, United Kingdom
| | - Andrew D. Worsley
- Department of Veterinary Biosciences, The University of Melbourne, Melbourne, VIC, Australia
| | - Rebecca Traub
- Department of Veterinary Biosciences, The University of Melbourne, Melbourne, VIC, Australia
| | - Vito Colella
- Department of Veterinary Biosciences, The University of Melbourne, Melbourne, VIC, Australia
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Xue JB, Xia S, Wang X, Huang LL, Huang LY, Hao YW, Zhang LJ, Li SZ. Recognizing and monitoring infectious sources of schistosomiasis by developing deep learning models with high-resolution remote sensing images. Infect Dis Poverty 2023; 12:6. [PMID: 36747280 PMCID: PMC9903608 DOI: 10.1186/s40249-023-01060-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2022] [Accepted: 01/28/2023] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND China is progressing towards the goal of schistosomiasis elimination, but there are still some problems, such as difficult management of infection source and snail control. This study aimed to develop deep learning models with high-resolution remote sensing images for recognizing and monitoring livestock bovine, which is an intermediate source of Schistosoma japonicum infection, and to evaluate the effectiveness of the models for real-world application. METHODS The dataset of livestock bovine's spatial distribution was collected from the Chinese National Platform for Common Geospatial Information Services. The high-resolution remote sensing images were further divided into training data, test data, and validation data for model development. Two recognition models based on deep learning methods (ENVINet5 and Mask R-CNN) were developed with reference to the training datasets. The performance of the developed models was evaluated by the performance metrics of precision, recall, and F1-score. RESULTS A total of 50 typical image areas were selected, 1125 bovine objectives were labeled by the ENVINet5 model and 1277 bovine objectives were labeled by the Mask R-CNN model. For the ENVINet5 model, a total of 1598 records of bovine distribution were recognized. The model precision and recall were 81.9% and 80.2%, respectively. The F1 score was 0.81. For the Mask R-CNN mode, 1679 records of bovine objectives were identified. The model precision and recall were 87.3% and 85.2%, respectively. The F1 score was 0.87. When applying the developed models to real-world schistosomiasis-endemic regions, there were 63 bovine objectives in the original image, 53 records were extracted using the ENVINet5 model, and 57 records were extracted using the Mask R-CNN model. The successful recognition ratios were 84.1% and 90.5% for the respectively developed models. CONCLUSION The ENVINet5 model is very feasible when the bovine distribution is low in structure with few samples. The Mask R-CNN model has a good framework design and runs highly efficiently. The livestock recognition models developed using deep learning methods with high-resolution remote sensing images accurately recognize the spatial distribution of livestock, which could enable precise control of schistosomiasis.
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Affiliation(s)
- Jing-Bo Xue
- grid.508378.1National 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, 200025 China ,grid.16821.3c0000 0004 0368 8293School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025 China
| | - Shang Xia
- grid.508378.1National 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, 200025 China ,grid.16821.3c0000 0004 0368 8293School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025 China
| | - Xin‑Yi Wang
- grid.508378.1National 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, 200025 China
| | - Lu-Lu Huang
- grid.508378.1National 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, 200025 China
| | - Liang-Yu Huang
- grid.508378.1National 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, 200025 China
| | - Yu-Wan Hao
- grid.508378.1National 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, 200025 China
| | - Li-Juan Zhang
- grid.508378.1National 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, 200025 China
| | - Shi-Zhu 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 Centre for Tropical Diseases, 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.
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A retrospective analysis of schistosomiasis related literature from 2011-2020: Focusing on the next decade. Acta Trop 2023; 238:106750. [PMID: 36372254 DOI: 10.1016/j.actatropica.2022.106750] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Revised: 11/06/2022] [Accepted: 11/09/2022] [Indexed: 11/13/2022]
Abstract
BACKGROUND Schistosomiasis, an ancient and neglected tropical disease, which poses a huge threat to over 200 million people globally. It is necessary to have a general summary of schistosomiasis research after the new roadmap 2021-2030 issued by WHO. This study analyzes the current status of schistosomiasis research from the perspective of the One Health concept by analyzing important research literature published from 2011 to 2020, while further highlighting research priorities, difficulties, and research directions in order to propose suggestions for tropical disease studies research. METHODS Published literature related to schistosomiasis was searched from the Web of Science Core Collection (WoSCC) database. Focusing on a visual analysis of the main research literature in the field of schistosomiasis, CiteSpace software was used to conduct co-occurrence analysis with keywords, countries, institutions, and authors. Moreover, clustering and burst analyses of keywords and co-citation analysis of authors, publications, and journals were performed. RESULTS A total of 6638 schistosomiasis-related articles were published from 2011 to 2020, all of which can be sourced from the WoSCC database. The publication of schistosomiasis research has remained stable over the past 10 years, and contains studies in the area of human epidemiology, animal surveillance and the environment. The top five high-frequency keywords included Schistosoma mansoni, schistosomiasis, infection, praziquantel, and Schistosoma japonicum. The keywords formed nine clusters, including praziquantel, epidemiology, Schistosoma japonicum, helminths, protein, diagnosis, schistosomiasis, response, and haematobium. In recent years, most research studies focused on the mechanism of liver fibrosis, eliminating schistosomiasis, controlling risk factors, and the relationship between schistosomiasis infection and host immunity. The most productive countries include the United States, China, and Brazil, and the most productive institutions are the University of Basel, the Swiss Tropical and Public Health Institute, and the University of São Paulo. Highly productive authors include Jürg Utzinger and Donald P. McManus. At the time of writing, the author with the highest co-citation frequency (993 times) was Peter Hotez, and the journal with the highest co-citation frequency (3,720 times) was PLoS Neglected Tropical Diseases. Human schistosomiasis, published by Colley et al. (2014), was the most frequently co-cited publication (494 times). CONCLUSIONS This study provides a preliminary description of the current status of schistosomiasis research and an initial exploration of future research directions. The One Health concept was applied in the field of schistosomiasis control, as confirmed by this bibliometric analysis. Our study provides guidance for the development of research on schistosomiasis and other neglected tropical diseases.
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Hong Z, Zhang S, Li L, Li Y, Liu T, Guo S, Xu X, Yang Z, Zhang H, Xu J. A Nomogram for Predicting Prognosis of Advanced Schistosomiasis japonica in Dongzhi County-A Case Study. Trop Med Infect Dis 2023; 8:tropicalmed8010033. [PMID: 36668940 PMCID: PMC9866143 DOI: 10.3390/tropicalmed8010033] [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: 11/02/2022] [Revised: 12/12/2022] [Accepted: 12/29/2022] [Indexed: 01/05/2023] Open
Abstract
BACKGROUNDS Advanced schistosomiasis is the late stage of schistosomiasis, seriously jeopardizing the quality of life or lifetime of infected people. This study aimed to develop a nomogram for predicting mortality of patients with advanced schistosomiasis japonica, taking Dongzhi County of China as a case study. METHOD Data of patients with advanced schistosomiasis japonica were collected from Dongzhi Schistosomiasis Hospital from January 2019 to July 2022. Data of patients were randomly divided into a training set and validation set with a ratio of 7:3. Candidate variables, including survival outcomes, demographics, clinical features, laboratory examinations, and ultrasound examinations, were analyzed and selected by LASSO logistic regression for the nomogram. The performance of the nomogram was assessed by concordance index (C-index), sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV). The calibration of the nomogram was evaluated by the calibration plots, while clinical benefit was evaluated by decision curve and clinical impact curve analysis. RESULTS A total of 628 patients were included in the final analysis. Atrophy of the right liver, creatinine, ascites level III, N-terminal procollagen III peptide, and high-density lipoprotein were selected as parameters for the nomogram model. The C-index, sensitivity, specificity, PPV, and NPV of the nomogram were 0.97 (95% [CI]: [0.95-0.99]), 0.78 (95% [CI]: [0.64-0.87]), 0.97 (95% [CI]: [0.94-0.98]), 0.78 (95% [CI]: [0.64-0.87]), 0.97 (95% [CI]: [0.94-0.98]) in the training set; and 0.98 (95% [CI]: [0.94-0.99]), 0.86 (95% [CI]: [0.64-0.96]), 0.97 (95% [CI]: [0.93-0.99]), 0.79 (95% [CI]: [0.57-0.92]), 0.98 (95% [CI]: [0.94-0.99]) in the validation set, respectively. The calibration curves showed that the model fitted well between the prediction and actual observation in both the training set and validation set. The decision and the clinical impact curves showed that the nomogram had good clinical use for discriminating patients with high risk of death. CONCLUSIONS A nomogram was developed to predict prognosis of advanced schistosomiasis. It could guide clinical staff or policy makers to formulate intervention strategies or efficiently allocate resources against advanced schistosomiasis.
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Affiliation(s)
- Zhong Hong
- 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 200025, China
| | - Shiqing Zhang
- Department of Schistosomiasis Control and Prevention, Anhui Institute of Parasitic Diseases, Hefei 230061, China
| | - Lu 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 Centre for Tropical Diseases, National Center for International Research on Tropical Diseases, Shanghai 200025, China
| | - Yinlong 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 Centre for Tropical Diseases, National Center for International Research on Tropical Diseases, Shanghai 200025, China
| | - Ting Liu
- Department of Schistosomiasis Control and Prevention, Anhui Institute of Parasitic Diseases, Hefei 230061, China
| | - Suying Guo
- 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 200025, China
| | - Xiaojuan Xu
- Department of Schistosomiasis Control and Prevention, Anhui Institute of Parasitic Diseases, Hefei 230061, China
| | - Zhaoming Yang
- Department of Clinical Treatment, Dongzhi Schistosomiasis Hospital, Chizhou 247230, China
| | - Haoyi Zhang
- Department of Clinical Treatment, Dongzhi Schistosomiasis Hospital, Chizhou 247230, China
| | - Jing Xu
- 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 200025, China
- Correspondence:
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Li HM, Arthur Djibougou D, Lu SN, Lv S, Zongo D, Wang DQ, Ding W, Qian YJ, Huang LL, Guan YY, Xiao N, Serge Diagbouga P, Engels D, Zhou XN. Strengthening capacity-building in malaria and schistosomiasis control under China-Africa cooperation: Assessing a case study of Burkina Faso. SCIENCE IN ONE HEALTH 2022; 1:100009. [PMID: 39076603 PMCID: PMC11262290 DOI: 10.1016/j.soh.2023.100009] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Accepted: 02/06/2023] [Indexed: 07/31/2024]
Abstract
Malaria and schistosomiasis are highly prevalent in Burkina Faso, whereas China has successfully eliminated malaria as well as schistosomiasis as a public health problem. To implement the China-Africa health cooperation initiative, a series of activities were launched since 2019 to enhance understanding and cooperation among malaria and schistosomiasis professionals in China and Burkina Faso. This study described the achievements of the First Virtual Symposium of China-Burkina Faso Cooperation on Schistosomiasis and Malaria Control. Pre- and post-test questionnaires were employed to study the knowledge changes of participants regarding malaria and schistosomiasis control and elimination, explore capacity-building priorities, and identify potential challenges. Chi-squared statistics were used to compare the differences between sub-groups, and p value < 0.05 was considered statistically significant. Participants ranked their preferences for challenges and capacity-building priorities in future cooperation. The responses of participants from both China and Burkina Faso indicated effective improvement in their general knowledge about the diseases whereas the improvement in professional knowledge on malaria and schistosomiasis was limited. The total correct response rate increased from 54.08% to 66.78%. Chinese participants had better schistosomiasis knowledge than Burkina Faso participants did, but the same result was not found for malaria. Diseases control strategies, surveillance and response system, and diagnostics techniques were identified as the top three priorities for future capacity building. Participants from China and Burkina Faso shared almost the same views about challenges except with respect to pathogens, which the former saw as a major challenge and the latter did not. The study findings will help policymakers, health managers, and researchers to understand the future cooperation between Burkina Faso and China on malaria and schistosomiasis.
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Affiliation(s)
- Hong-Mei 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 Centre for Tropical Diseases; National Center for International Research on Tropical Diseases; Shanghai 200025, China
| | - Diakourga Arthur Djibougou
- Institut de Recherche en Sciences de La Santé (IRSS), Ouagadougou, Burkina Faso
- Etudes Formation et Recherches Developpement en Santé (EFORDS), Ouagadougou, Burkina Faso
| | - Shen-Ning 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 Centre for Tropical Diseases; National Center for International Research on Tropical Diseases; Shanghai 200025, China
| | - Shan Lv
- 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 200025, China
- The School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Dramane Zongo
- Institut de Recherche en Sciences de La Santé (IRSS), Ouagadougou, Burkina Faso
| | - Duo-Quan 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 200025, China
| | - Wei Ding
- 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 200025, China
| | - Ying-Jun Qian
- 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 200025, China
| | - Lu-Lu 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 200025, China
| | - Ya-Yi Guan
- 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 200025, China
| | - Ning Xiao
- 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 200025, China
- The School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Potiandi Serge Diagbouga
- Institut de Recherche en Sciences de La Santé (IRSS), Ouagadougou, Burkina Faso
- Etudes Formation et Recherches Developpement en Santé (EFORDS), Ouagadougou, Burkina Faso
- Scientific Research and Innovation, Ministry of Higher Education, Ouagadougou, Burkina Faso
| | - Dirk Engels
- Uniting to Combat NTDs Support Centre, Geneva, Switzerland
| | - Xiao-Nong Zhou
- 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 200025, China
- The School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
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Mei Z, Lv S, Tian L, Wang W, Jia T. The Efficiency of Commercial Immunodiagnostic Assays for the Field Detection of Schistosoma japonicum Human Infections: A Meta-Analysis. Pathogens 2022; 11:791. [PMID: 35890035 PMCID: PMC9318282 DOI: 10.3390/pathogens11070791] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2022] [Revised: 07/10/2022] [Accepted: 07/11/2022] [Indexed: 11/16/2022] Open
Abstract
Although great strides have been achieved, schistosomiasis japonica remains a major public health concern in China. Immunodiagnostics have been widely accepted as the first choice in large-scale screening of Schistosoma japonicum human infections, and indirect hemagglutination test (IHA), enzyme-linked immunosorbent assay (ELISA), and dipstick dye immunoassay (DDIA) are currently the three most common immunological tests for the diagnosis of S. japonicum human infections in China. This meta-analysis aimed to comprehensively assess the performance of IHA, ELISA, and DDIA for the field diagnosis of S. japonicum human infections. A total of 37 eligible publications were enrolled in the final analysis, including 29 Chinese publications and 8 English publications. No significant heterogeneities were detected among the studies reporting ELISA (I2 = 88%, p < 0.05), IHA (I2 = 95%, p < 0.05), or DDIA (I2 = 84%, p < 0.05). DDIA showed the highest pooled sensitivity (90.8%, 95% CI: 84.6% to 94.7%) and IHA presented the highest pooled specificity for detection of S. japonicum human infections (71.6%, 95% CI: 65.9% to 76.7%). Summary receiver operating characteristic (SROC) curve analysis showed that IHA exhibited the highest area under the SROC curve (AUC) (0.88, 95% CI: 0.85 to 0.9), and ELISA presented the lowest AUC (0.85, 95% CI: 0.82 to 0.88). Deeks’ funnel plots indicated no publication bias. IHA presented the highest sensitivity in medium-endemicity regions and the highest specificity for diagnosis of S. japonicum human infections in low-endemicity regions, and ELISA showed the highest diagnostic sensitivity in high-endemicity regions and the highest specificity in medium-endemicity regions, while DDIA exhibited the highest diagnostic sensitivity in high-endemicity regions and the highest specificity in low-endemicity regions. IHA and DDIA presented a higher efficiency for the diagnosis of S. japonicum human infections in marshland and lake regions than in hilly and mountainous regions, while ELISA showed a comparable diagnostic sensitivity between in marshland and lake regions and hilly and mountainous regions (88.3% vs. 88.6%), and a higher specificity in marshland and lake regions than in hilly and mountainous regions (60% vs. 48%). Our meta-analysis demonstrates a comparable diagnostic accuracy of IHA, ELISA, and DDIA for S. japonicum human infections, and the diagnostic sensitivity and specificity of IHA, ELISA, and DDIA vary in types and infection prevalence of endemic regions. DDIA combined with IHA is recommended as a tool for screening chemotherapy targets and seroepidemiological surveys during the stage moving towards schistosomiasis elimination in China. Further studies to examine the effectiveness of combinations of two or three immunological tests for diagnosis of S. japonicum human infections are warranted.
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Affiliation(s)
- Zhongqiu Mei
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Key Laboratory of National Health Commission on Parasite and Vector Biology, WHO Collaborating Center for Tropical Diseases, Shanghai 200025, China; (Z.M.); (S.L.); (L.T.)
| | - Shan Lv
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Key Laboratory of National Health Commission on Parasite and Vector Biology, WHO Collaborating Center for Tropical Diseases, Shanghai 200025, China; (Z.M.); (S.L.); (L.T.)
| | - Liguang Tian
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Key Laboratory of National Health Commission on Parasite and Vector Biology, WHO Collaborating Center for Tropical Diseases, Shanghai 200025, China; (Z.M.); (S.L.); (L.T.)
| | - Wei Wang
- Key Laboratory of National Health Commission on Parasitic Disease Prevention and Control, Jiangsu Provincial Key Laboratory on Parasites and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China
| | - Tiewu Jia
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Key Laboratory of National Health Commission on Parasite and Vector Biology, WHO Collaborating Center for Tropical Diseases, Shanghai 200025, China; (Z.M.); (S.L.); (L.T.)
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15
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Jia Z. Insight on Infectious Diseases from the Perspective of One Health. China CDC Wkly 2022; 4:119. [PMID: 35265389 PMCID: PMC8886491 DOI: 10.46234/ccdcw2022.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2021] [Accepted: 01/06/2022] [Indexed: 11/20/2022] Open
Affiliation(s)
- Zhongwei Jia
- Department of Global Health, School of Public Health, Peking University, Beijing, China
- Center for Intelligent Public Health, Institute for Artificial Intelligence, Peking University, Beijing, China
- Peking University Clinical Research Institute, Beijing, China
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