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Wang X, Han Y, Li C, Wang M, Yang B, Zhang X, Zhao L. Seroepidemiology study of rubella virus antibodies among neonates and pregnant women at hospitals in Henan province, China. J Med Virol 2023; 95:e29340. [PMID: 38131155 DOI: 10.1002/jmv.29340] [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: 08/07/2023] [Revised: 11/13/2023] [Accepted: 12/12/2023] [Indexed: 12/23/2023]
Abstract
Rubella virus infection can cause vertical transmission to the fetus during pregnancy. In China's Henan province, rubella surveillance needs to be well-established. In this research, a total of 1933 neonates and 2502 pregnant women were enrolled, and their sera for IgG and IgM antibodies against rubella were tested by chemiluminescence assay. Of 1933 neonates' sera tested, the seropositive of rubella IgG was 68.7%. The seroprevalence of rubella IgM in neonates was 0.4%. 30.9% of neonates had negative results for IgG and IgM antibodies. Two thousand five hundred and two pregnant women participated in the serosurvey, and 79.3% were rubella IgG positive. Rubella IgG seropositivity in pregnant women differed by age and number of births. 0.8% of the pregnant women had positive results for IgM against the rubella virus. The seronegative of rubella IgG and IgM antibodies in pregnant women was 19.8%. Due to the negative rubella-specific IgG antibody, many neonates remain at risk of rubella virus infection. Rubella virus continues to spread since some neonates and pregnant women with rubella-specific IgM antibody positive have been detected. Rubella vaccination may be introduced for childbearing-age women to increase immunity levels against rubella with periodic sero-surveillance.
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Affiliation(s)
- Xiangpeng Wang
- Henan Key Laboratory of Immunology and Targeted Drugs, School of Medical Technology, Xinxiang Medical University, Xinxiang, China
- Xinxiang Key Laboratory of Tumor Microenvironment and Immunotherapy, School of Medical Technology, Xinxiang Medical University, Xinxiang, China
- Henan Collaborative Innovation Center of Molecular Diagnosis and Laboratory Medicine, School of Medical Technology, Xinxiang Medical University, Xinxiang, China
| | - Yu Han
- Henan Key Laboratory of Immunology and Targeted Drugs, School of Medical Technology, Xinxiang Medical University, Xinxiang, China
| | - Changhui Li
- Henan Key Laboratory of Immunology and Targeted Drugs, School of Medical Technology, Xinxiang Medical University, Xinxiang, China
| | - Mengshi Wang
- Henan Key Laboratory of Immunology and Targeted Drugs, School of Medical Technology, Xinxiang Medical University, Xinxiang, China
| | - Beibei Yang
- Henan Key Laboratory of Immunology and Targeted Drugs, School of Medical Technology, Xinxiang Medical University, Xinxiang, China
| | - Xiaoqin Zhang
- Henan Key Laboratory of Immunology and Targeted Drugs, School of Medical Technology, Xinxiang Medical University, Xinxiang, China
- Xinxiang Key Laboratory of Tumor Microenvironment and Immunotherapy, School of Medical Technology, Xinxiang Medical University, Xinxiang, China
- Henan Collaborative Innovation Center of Molecular Diagnosis and Laboratory Medicine, School of Medical Technology, Xinxiang Medical University, Xinxiang, China
| | - Lijun Zhao
- Henan Key Laboratory of Immunology and Targeted Drugs, School of Medical Technology, Xinxiang Medical University, Xinxiang, China
- Xinxiang Key Laboratory of Tumor Microenvironment and Immunotherapy, School of Medical Technology, Xinxiang Medical University, Xinxiang, China
- Henan Collaborative Innovation Center of Molecular Diagnosis and Laboratory Medicine, School of Medical Technology, Xinxiang Medical University, Xinxiang, China
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Deng LL, Han YJ, Li ZW, Wang DY, Chen T, Ren X, He GX. Epidemiological characteristics of seven notifiable respiratory infectious diseases in the mainland of China: an analysis of national surveillance data from 2017 to 2021. Infect Dis Poverty 2023; 12:99. [PMID: 37953290 PMCID: PMC10642048 DOI: 10.1186/s40249-023-01147-3] [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: 07/07/2023] [Accepted: 10/11/2023] [Indexed: 11/14/2023] Open
Abstract
BACKGROUND Respiratory infectious diseases (RIDs) remain a pressing public health concern, posing a significant threat to the well-being and lives of individuals. This study delves into the incidence of seven primary RIDs during the period 2017-2021, aiming to gain deeper insights into their epidemiological characteristics for the purpose of enhancing control and prevention strategies. METHODS Data pertaining to seven notifiable RIDs, namely, seasonal influenza, pulmonary tuberculosis (PTB), mumps, scarlet fever, pertussis, rubella and measles, in the mainland of China between 2017 and 2021 were obtained from the National Notifiable Disease Reporting System (NNDRS). Joinpoint regression software was utilized to analyze temporal trends, while SaTScan software with a Poisson probability model was used to assess seasonal and spatial patterns. RESULTS A total of 11,963,886 cases of the seven RIDs were reported during 2017-2021, and yielding a five-year average incidence rate of 170.73 per 100,000 individuals. Among these RIDs, seasonal influenza exhibited the highest average incidence rate (94.14 per 100,000), followed by PTB (55.52 per 100,000), mumps (15.16 per 100,000), scarlet fever (4.02 per 100,000), pertussis (1.10 per 100,000), rubella (0.59 per 100,000), and measles (0.21 per 100,000). Males experienced higher incidence rates across all seven RIDs. PTB incidence was notably elevated among farmers and individuals aged over 65, whereas the other RIDs primarily affected children and students under 15 years of age. The incidences of PTB and measles exhibited a declining trend from 2017 to 2021 (APC = -7.53%, P = 0.009; APC = -40.87%, P = 0.02), while the other five RIDs peaked in 2019. Concerning seasonal and spatial distribution, the seven RIDs displayed distinct characteristics, with variations observed for the same RIDs across different regions. The proportion of laboratory-confirmed cases fluctuated among the seven RIDs from 2017 to 2021, with measles and rubella exhibiting higher proportions and mumps and scarlet fever showing lower proportions. CONCLUSIONS The incidence of PTB and measles demonstrated a decrease in the mainland of China between 2017 and 2021, while the remaining five RIDs reached a peak in 2019. Overall, RIDs continue to pose a significant public health challenge. Urgent action is required to bolster capacity-building efforts and enhance control and prevention strategies for RIDs, taking into account regional disparities and epidemiological nuances. With the rapid advancement of high-tech solutions, the development and effective implementation of a digital/intelligent RIDs control and prevention system are imperative to facilitate precise surveillance, early warnings, and swift responses.
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Affiliation(s)
- Le-le Deng
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Ya-Jun Han
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Zhuo-Wei Li
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Da-Yan Wang
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Tao Chen
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.
| | - Xiang Ren
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-Warning On Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.
| | - Guang-Xue He
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.
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Wang X, Xu Y, Zhang X, Zhang X, Du J, Che X, Gu W, Wang J, Jiang W, Liu Y. Do adolescents need a rubella vaccination campaign? Rubella serosurvey among healthy children in Hangzhou, China. Hum Vaccin Immunother 2023; 19:2254536. [PMID: 37750387 PMCID: PMC10524778 DOI: 10.1080/21645515.2023.2254536] [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: 04/02/2023] [Accepted: 08/30/2023] [Indexed: 09/27/2023] Open
Abstract
The aim of this study was to evaluate the seroprevalence of rubella antibodies and factors associated with antibody seropositivity after vaccination among healthy children aged 14 and below. A multi-stage stratified random sampling method was employed to recruit participants for the rubella serological test. An enzyme-linked immunosorbent assay method was used to detect human IgG antibodies with avidity for rubella virus in the sera of participants. Univariate and multivariate analyses were used to analyze associations between variables. A total of 778 subjects were included in the subsequent analysis. The overall positive rate of rubella antibody was 83.0% (95%CI: 80.2-85.5%), and the overall geometric mean concentration (GMC) was 58.05 IU/ml. In multivariate analysis, gender, residence, birth year group, and time since the last rubella-containing vaccines (RCV) vaccination were significantly associated with the seroprevalence of rubella antibodies. Our study showed a decreasing trend in rubella antibody positivity and GMC in the population aged five to 14 years. Therefore, we recommend a catch-up dose of RCV for adolescents and young people aged over 14 years not yet vaccinated.
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Affiliation(s)
- Xiaozhen Wang
- School of Public Health, Hangzhou Normal University, Hangzhou, China
| | - Yuyang Xu
- Department of Expanded Program on Immunization, Hangzhou Center for Disease Control and Prevention, Hangzhou, China
| | - Xuechao Zhang
- Department of Expanded Program on Immunization, Hangzhou Center for Disease Control and Prevention, Hangzhou, China
| | - Xiaoping Zhang
- Department of Expanded Program on Immunization, Hangzhou Center for Disease Control and Prevention, Hangzhou, China
| | - Jian Du
- Department of Expanded Program on Immunization, Hangzhou Center for Disease Control and Prevention, Hangzhou, China
| | - Xinren Che
- Department of Expanded Program on Immunization, Hangzhou Center for Disease Control and Prevention, Hangzhou, China
| | - Wenwen Gu
- Department of Expanded Program on Immunization, Hangzhou Center for Disease Control and Prevention, Hangzhou, China
| | - Jun Wang
- Department of Expanded Program on Immunization, Hangzhou Center for Disease Control and Prevention, Hangzhou, China
| | - Wei Jiang
- Department of Expanded Program on Immunization, Hangzhou Center for Disease Control and Prevention, Hangzhou, China
| | - Yan Liu
- Department of Expanded Program on Immunization, Hangzhou Center for Disease Control and Prevention, Hangzhou, China
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Wang J, Xu Y, Wang X, Liu Y, Zhang X, Du J, Che X, Gu W, Zhang X, Jiang W, Wang Y. Epidemiological characteristic of rubella by age group during 12 years after the national introduction of rubella vaccine in Hangzhou, China. Hum Vaccin Immunother 2022; 18:2054208. [PMID: 35344684 PMCID: PMC9225618 DOI: 10.1080/21645515.2022.2054208] [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] [Indexed: 11/06/2022] Open
Abstract
This study aimed to evaluate the implementation and impact of rubella-containing vaccine (RCV) by describing the rubella epidemiology and seroepidemiology in Hangzhou. We collected rubella cases of Hangzhou in the Information System for Disease Control and Prevention in China between 2009 and 2020, and performed a descriptive analysis. We applied a multi-stage stratified random sampling method to recruit participants for serological tests of rubella. Enzyme Linked Immunosorbent Assay (ELISA) was used to detect Immunoglobulin G (IgG) antibodies against rubella in serum samples. Univariate and multivariate analyses are used to detect the association between the level of rubella IgG and related factors. The incidence of rubella cases per million population decreased from 15.8 in 2009 to .1 in 2020. The proportion of rubella cases in women of childbearing age was higher than in men. A total of 4,362 subjects were tested serologically for rubella. The percentage of people whose rubella IgG antibody titers were above the minimum protective level (20 IU/ml) was 80.60% (95% CI: 79.4%–81.8%) and the geometric mean concentration (GMC) for rubella IgG was 58.34 IU/ml. The data indicated that Hangzhou had made good progress toward the elimination of rubella, whereas women of childbearing age still had a higher proportion of rubella cases, which might lead to increased risk of subsequent CRS. The positive rate and GMC of rubella IgG were significantly influenced by age and immunization history of RCV. Therefore, we should stress the importance of pushing forward the campaign for supplementary vaccination of rubella in adults.
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Affiliation(s)
- Jun Wang
- Department of Expanded Program on Immunization, Hangzhou Center for Disease Control and Prevention, Hangzhou, Zhejiang, China
| | - Yuyang Xu
- Department of Expanded Program on Immunization, Hangzhou Center for Disease Control and Prevention, Hangzhou, Zhejiang, China
| | - Xiaozhen Wang
- School of Public Health, Hangzhou Normal University, Hangzhou, China
| | - Yan Liu
- Department of Expanded Program on Immunization, Hangzhou Center for Disease Control and Prevention, Hangzhou, Zhejiang, China
| | - Xiaoping Zhang
- Department of Expanded Program on Immunization, Hangzhou Center for Disease Control and Prevention, Hangzhou, Zhejiang, China
| | - Jian Du
- Department of Expanded Program on Immunization, Hangzhou Center for Disease Control and Prevention, Hangzhou, Zhejiang, China
| | - Xinren Che
- Department of Expanded Program on Immunization, Hangzhou Center for Disease Control and Prevention, Hangzhou, Zhejiang, China
| | - Wenwen Gu
- Department of Expanded Program on Immunization, Hangzhou Center for Disease Control and Prevention, Hangzhou, Zhejiang, China
| | - Xuechao Zhang
- Department of Expanded Program on Immunization, Hangzhou Center for Disease Control and Prevention, Hangzhou, Zhejiang, China
| | - Wei Jiang
- Department of Expanded Program on Immunization, Hangzhou Center for Disease Control and Prevention, Hangzhou, Zhejiang, China
| | - Yi Wang
- School of Public Health, Hangzhou Normal University, Hangzhou, China
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Yu X, Suo L, Li W, Chen W, Zhao D, Pan J, Lu L, Mu X, Huang F, Chen M, Zhu Z. Molecular surveillance of rubella virus in Beijing, China during 2010-2021: Progress and challenges in rubella elimination. Vaccine 2022; 40:6857-6863. [PMID: 36266129 DOI: 10.1016/j.vaccine.2022.09.084] [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: 08/24/2022] [Revised: 09/23/2022] [Accepted: 09/27/2022] [Indexed: 11/06/2022]
Abstract
Rubella is listed by the World Health Organization (WHO) as a disease that needs to be eliminated worldwide. The aim of this study was to understand the progress and challenges towards rubella elimination in Beijing, China, by analyzing molecular surveillance data combined with immunization and surveillance strategies as well as epidemiological data. With high immunization coverage under the 3-dose policy (8 months, 18 months, and 6 years) and supplementary immunization activities for the floating population, rubella incidence showed a downward trend since 2010, despite two epidemics that occurred in 2014-2015 and 2019. The reported rubella cases were generally concentrated in the age group of 15-34 years. Although citywide surveillance for congenital rubella syndrome (CRS) has been carried out since 2016, only one case has been confirmed by laboratory testing. Furthermore, molecular surveillance data showed that rubella viruses (RVs) circulating in Beijing during 2010-2020 were evidently heterogeneous; the domestic lineage 1E-L1 and multiple imported lineages, including 2B-L1, 1E-L2, and 2B-L2c, were identified in the last decade. Meanwhile, two lineage-related switches were determined, including the displacement of lineage 1E-L1 with lineage 2B-L1 around 2014 and the transition between lineage 2B-L1 and lineage 1E-L2 and 2B-L2c in 2018-2019. This RV transmission pattern was similar to that observed across the country, whereas lineages 1E-L1 and 2B-L2c were prevalent in Beijing for a shorter period. Overall, these results indicate the need to maintain routine immunization with rubella-containing vaccines, promote regular supplementaryimmunizationactivities, and enhance rubella and CRS surveillance even in order to accelerate rubella elimination in Beijing. Further, the existing immunization strategies must be optimized to further close the immunity gap.
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Affiliation(s)
- Xiali Yu
- Beijing Center for Diseases Prevention and Control, No. 16, Hepingli Middle Street, Dongcheng District, Beijing 100013, People's Republic of China
| | - Luodan Suo
- Beijing Center for Diseases Prevention and Control, No. 16, Hepingli Middle Street, Dongcheng District, Beijing 100013, People's Republic of China
| | - Wei Li
- Beijing Center for Diseases Prevention and Control, No. 16, Hepingli Middle Street, Dongcheng District, Beijing 100013, People's Republic of China
| | - Weixin Chen
- Beijing Center for Diseases Prevention and Control, No. 16, Hepingli Middle Street, Dongcheng District, Beijing 100013, People's Republic of China
| | - Dan Zhao
- Beijing Center for Diseases Prevention and Control, No. 16, Hepingli Middle Street, Dongcheng District, Beijing 100013, People's Republic of China
| | - Jingbin Pan
- Beijing Center for Diseases Prevention and Control, No. 16, Hepingli Middle Street, Dongcheng District, Beijing 100013, People's Republic of China
| | - Li Lu
- Beijing Center for Diseases Prevention and Control, No. 16, Hepingli Middle Street, Dongcheng District, Beijing 100013, People's Republic of China
| | - Xiaoqun Mu
- Beijing Center for Diseases Prevention and Control, No. 16, Hepingli Middle Street, Dongcheng District, Beijing 100013, People's Republic of China
| | - Fang Huang
- Beijing Center for Diseases Prevention and Control, No. 16, Hepingli Middle Street, Dongcheng District, Beijing 100013, People's Republic of China
| | - Meng Chen
- Beijing Center for Diseases Prevention and Control, No. 16, Hepingli Middle Street, Dongcheng District, Beijing 100013, People's Republic of China.
| | - Zhen Zhu
- WHO WPRO Regional Reference Measles/Rubella Laboratory, Key Laboratory of Medical Virology Ministry of Health, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, No.155, Changbai Road, Changping District, Beijing 102206, People's Republic of China.
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Xu J, Li X, Zhou Q. Nationwide-free preconception care strategy: Experience from China. Front Public Health 2022; 10:934983. [PMID: 36339191 PMCID: PMC9626826 DOI: 10.3389/fpubh.2022.934983] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Accepted: 09/23/2022] [Indexed: 01/25/2023] Open
Abstract
Preconception care has emerged as a developing field in maternal and child healthcare worldwide. This care type provides couples of reproductive age with the opportunity for early detection and management of biomedical, behavioral, and social health problems. In 2010, the Chinese government launched a nationwide preconception care program as a welfare project. During the past decade, this project has received international attention, and experiences from the project have been published in the literature. In this review, we summarize the history, implementation, and evaluation of preconception care services in China, and its related maternal and children's health service initiatives, to thereby provide knowledge for policymakers and clinicians in other countries.
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Affiliation(s)
- Jinghui Xu
- Department of Obstetrics, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China
| | - Xiaotian Li
- Department of Obstetrics, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China
- Shanghai Key Laboratory of Female Reproductive Endocrine-Related Diseases, Shanghai, China
- Institutes of Biochemical Sciences, Fudan University, Shanghai, China
| | - Qiongjie Zhou
- Department of Obstetrics, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China
- Shanghai Key Laboratory of Female Reproductive Endocrine-Related Diseases, Shanghai, China
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Zhang N, Cheng X, Zhou S, Wang B, Luo X, Chai Y, Tang J, Su B, Liu Z. Epidemiological investigation and prevention and control strategies of rubella in Anhui province, China, from 2012 to 2021. Front Public Health 2022; 10:991799. [PMID: 36276361 PMCID: PMC9583678 DOI: 10.3389/fpubh.2022.991799] [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: 07/12/2022] [Accepted: 09/16/2022] [Indexed: 01/26/2023] Open
Abstract
Background Rubella is a highly contagious viral infection with mild manifestations that occurs most often in children and young adults. Infection during pregnancy, especially during the first trimester, can result in an infant born with congenital rubella syndrome (CRS). The purpose of this paper is to analyze the characteristics of rubella epidemics in Anhui province from 2012 to 2021 and explore the prevention and control strategies of rubella. Methods A descriptive epidemiological approach was used to examine the epidemiological characteristics of rubella in Anhui Province between 2012 and 2021. Results From 2012 to 2021, a total of 4,987 cases of rubella were reported in Anhui province, with an average annual incidence of 8.11 per million, demonstrating an overall downward trend (χ2 trend =3141.06, P < 0.01). The average yearly incidence of rubella in southern Anhui, central Anhui, and northern Anhui were 9.99 per million, 11.47 per million, and 4.50 per million, respectively, with statistically significant differences (χ2 =792.50, P < 0.01). The male to female incidence ratio was 1.67:1, and the male incidence rate was higher than the female incidence rate. Most cases occurred among students, accounting for 56.59% of all cases, and the 10-34 age group accounted for ~73.71% of all cases. Regarding immunization history, 3.57% of cases had two doses or more, 6.62% had one dose, 16.40% had none, and the remainder were uncertain. Conclusion The incidence of rubella in Anhui province from 2012 to 2021 continued to decline, with regional variations observed. The 10-34-year-old population without a history of rubella vaccination is at high risk for the disease. It is suggested to carry out rubella vaccination and congenital rubella syndrome monitoring according to the actual situation.
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Liu Y, Han Z, Kang C, Cui A, Zhang Y, Liu L, Chen Y, Deng L, Zhao H, Zhou J, Li F, Zhou S, Feng D, Tian X, Feng Y, Cui X, Lei Y, Wang Y, Yuan F, Fan L, Tang X, Chen M, Peng X, Guo Y, Gao H, Wang S, Li L, Zhang T, Deng X, Chen H, Wang S, Ma Y, Zhu Z, Xu W. Importation and circulation of rubella virus lineages 1E-L2 and 2B-L2c between 2018 and 2021 in China: Virus evolution and spatial-temporal transmission characteristics. Virus Evol 2022; 8:veac083. [PMID: 36533147 PMCID: PMC9752544 DOI: 10.1093/ve/veac083] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Revised: 08/26/2022] [Accepted: 09/03/2022] [Indexed: 11/19/2023] Open
Abstract
To better understand the importation and circulation patterns of rubella virus lineages 1E-L2 and 2B-L2c circulating in China since 2018, 3,312 viral strains collected from 27 out of 31 provinces in China between 2018 and 2021 were sequenced and analyzed with the representative international strains of lineages 1E-L2 and 2B-L2c based on genotyping region. Time-scale phylogenetic analysis revealed that the global lineages 1E-L2 and 2B-L2c presented distinct evolutionary patterns. Lineage 1E-L2 circulated in relatively limited geographical areas (mainly Asia) and showed geographical and temporal clustering, while lineage 2B-L2c strains circulated widely throughout the world and exhibited a complicated topology with several independently evolved branches. Furthermore, both lineages showed extensive international transmission activities, and phylogeographic inference provided evidence that lineage 1E-L2 strains circulating in China possibly originated from Japan, while the source of lineage 2B-L2c isolated since 2018 is still unclear. After importation into China in 2018, the spread of lineage 1E-L2 presented a three-stage transmission pattern from southern to northern China, whereas lineage 2B-L2c spread from a single point in western China to all the other four regions. These two transmission patterns allowed both imported lineages to spread rapidly across China during the 2018-9 rubella epidemic and eventually established endemic circulations. This study provides critical scientific data for rubella control and elimination in China and worldwide.
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Affiliation(s)
- Ying Liu
- WHO WPRO Regional Reference Measles/Rubella Laboratory, NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, No. 155, Changbai Road, Changping District, Beijing 102206, China
| | - Zhenzhi Han
- WHO WPRO Regional Reference Measles/Rubella Laboratory, NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, No. 155, Changbai Road, Changping District, Beijing 102206, China
- Laboratory of Virology, Beijing Key Laboratory of Etiology of Viral Diseases in Children, Capital Institute of Pediatrics, Beijing, China
| | - Chuyun Kang
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, China
| | - Aili Cui
- WHO WPRO Regional Reference Measles/Rubella Laboratory, NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, No. 155, Changbai Road, Changping District, Beijing 102206, China
| | - Yan Zhang
- WHO WPRO Regional Reference Measles/Rubella Laboratory, NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, No. 155, Changbai Road, Changping District, Beijing 102206, China
| | - Li Liu
- Institute of Microbiology, Sichuan Provincial Center for Disease Control and Prevention, Chengdu City, Sichuan Province China
| | - Ying Chen
- Department of Immunization Program, Gansu Provincial Center for Disease Control and Prevention, Lanzhou City, Gansu Province China
| | - Lili Deng
- Department of Expanded Programme on Immunization, Guangxi Provincial Center for Disease Control and Prevention, Nanning City, Guangxi Province, China
| | - Hua Zhao
- Department of Microbiological Testing, Chongqing Provincial Center for Disease Control and Prevention, Chongqing, China
| | - Jun Zhou
- Institute of Virology, Jiangxi Provincial Center for Disease Control and Prevention, Nanchang City, Jiangxi Province, China
| | - Fangcai Li
- Department of Microbiological Testing, Hunan Provincial Center for Disease Control and Prevention, Changsha City, Hunan Province, China
| | - Shujie Zhou
- Department of Expanded Programme on Immunization, Anhui Provincial Center for Disease Control and Prevention, Hefei City, Anhui Province, China
| | - Daxing Feng
- Department of Expanded Programme on Immunization, Henan Provincial Center for Disease Control and Prevention, Zhengzhou City, Henan Province, China
| | - Xiaoling Tian
- Department of Immunization Program, Neimeng Provincial Center for Disease Control and Prevention, Huhehaote City, Neimeng Province, China
| | - Yan Feng
- Department of Immunization Program, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou City, Zhejiang Province, China
| | - Xiaoxian Cui
- Division of Microbiology, Shanghai Provincial Center for Disease Control and Prevention, Shanghai, China
| | - Yue Lei
- Department of Pathogenic Microbiology, Tianjin Provincial Center for Disease Control and Prevention, Tianjin, China
| | - Yan Wang
- Department of Immunization Program, Liaoning Provincial Center for Disease Control and Prevention, Shenyang City, Liaoning Province, China
| | - Fang Yuan
- Department of Virology, Ningxia Provincial Center for Disease Control and Prevention, Yinchuan City, Ningxia Province, China
| | - Lixia Fan
- Inspection and Testing Center, Qinghai Provincial Center for Disease Control and Prevention, Xining City, Qinghai Province, China
| | - Xiaomin Tang
- Department of Virology, Guizhou Provincial Center for Disease Control and Prevention, Guiyang City, Guizhou Province, China
| | - Meng Chen
- Immunization Prevention Institute, Beijing Provincial Center for Disease Control and Prevention, Beijing, China
| | - Xiaofang Peng
- Institute of Immunization, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou City, Guangdong Province, China
| | - Yu Guo
- Institute of Immunization, Hebei Provincial Center for Disease Control and Prevention, Shijiazhuang City, Hebei Province, China
| | - Hui Gao
- Department of Disease Inspection, Shanxi Provincial Center for Disease Control and Prevention, Taiyuan City, Shanxi Province, China
| | - Suting Wang
- Department of Expanded Programme on Immunization, Shandong Provincial Center for Disease Control and Prevention, Jinan City, Shandong Province, China
| | - Liqun Li
- Department of Immunization Program, Yunnan Provincial Center for Disease Control and Prevention, Kunming City, Yunnan Province, China
| | - Ting Zhang
- Virus Detection Department, Institute of Inspection and Testing, Hubei Provincial Center for Disease Control and Prevention, Wuhan City, Hubei Province, China
| | - Xiuying Deng
- Department of Expanded Programme on Immunization, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing City, Jiangsu Province, China
| | - Haiyun Chen
- Microbiological Laboratory, Testing and Inspection Institute, Hainan Provincial Center for Disease Control and Prevention, Haikou City, Hainan Province, China
| | - Shuang Wang
- Department of Viral Disease Control and Prevention, Jilin Provincial Center for Disease Control and Prevention, Changchun City, Jilin Province, China
| | - Yu Ma
- Immunization Planning Institute, Shaanxi Provincial Center for Disease Control and Prevention, Xi’an City, Shaanxi Province, China
| | - Zhen Zhu
- WHO WPRO Regional Reference Measles/Rubella Laboratory, NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, No. 155, Changbai Road, Changping District, Beijing 102206, China
| | - Wenbo Xu
- WHO WPRO Regional Reference Measles/Rubella Laboratory, NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, No. 155, Changbai Road, Changping District, Beijing 102206, China
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Cao Y, Li M, Haihambo N, Zhu Y, Zeng Y, Jin J, Qiu J, Li Z, Liu J, Teng J, Li S, Zhao Y, Zhao X, Wang X, Li Y, Feng X, Han C. Oscillatory properties of class C notifiable infectious diseases in China from 2009 to 2021. Front Public Health 2022; 10:903025. [PMID: 36033737 PMCID: PMC9402928 DOI: 10.3389/fpubh.2022.903025] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Accepted: 07/19/2022] [Indexed: 01/22/2023] Open
Abstract
Background Epidemics of infectious diseases have a great negative impact on people's daily life. How it changes over time and what kind of laws it obeys are important questions that researchers are always interested in. Among the characteristics of infectious diseases, the phenomenon of recrudescence is undoubtedly of great concern. Understanding the mechanisms of the outbreak cycle of infectious diseases could be conducive for public health policies to the government. Method In this study, we collected time-series data for nine class C notifiable infectious diseases from 2009 to 2021 using public datasets from the National Health Commission of China. Oscillatory power of each infectious disease was captured using the method of the power spectrum analysis. Results We found that all the nine class C diseases have strong oscillations, which could be divided into three categories according to their oscillatory frequencies each year. Then, we calculated the oscillation power and the average number of infected cases of all nine diseases in the first 6 years (2009-2015) and the next 6 years (2015-2021) since the update of the surveillance system. The change of oscillation power is positively correlated to the change in the number of infected cases. Moreover, the diseases that break out in summer are more selective than those in winter. Conclusion Our results enable us to better understand the oscillation characteristics of class C infectious diseases and provide guidance and suggestions for the government's prevention and control policies.
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Affiliation(s)
- Yanxiang Cao
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Meijia Li
- Faculty of Psychology and Center for Neuroscience, Vrije Universiteit Brussel, Brussels, Belgium
| | - Naem Haihambo
- Faculty of Psychology and Center for Neuroscience, Vrije Universiteit Brussel, Brussels, Belgium
| | - Yuyao Zhu
- College of Environmental Sciences and Engineering, Peking University, Beijing, China
| | - Yimeng Zeng
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Jianhua Jin
- Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Jinyi Qiu
- School of Artificial Intelligence, Beijing Normal University, Beijing, China
| | - Zhirui Li
- Baoding First Central Hospital, Baoding, China
| | - Jiaxin Liu
- Department of Psychology, University of Washington, Washington, SA, United States
| | - Jiayi Teng
- School of Psychology, Philosophy and Language Science, University of Edinburgh, Edinburgh, United Kingdom
| | - Sixiao Li
- Faculty of Arts, Humanities and Cultures, School of Music, University of Leeds, Leeds, United Kingdom
| | - Yanan Zhao
- China Academy of Chinese Medical Sciences, Institute of Acupuncture and Moxibustion, Beijing, China
| | - Xixi Zhao
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Xuemei Wang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Yaqiong Li
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Xiaoyang Feng
- Institute of Mental Health, Peking University Sixth Hospital, Beijing, China
| | - Chuanliang Han
- Shenzhen Key Laboratory of Neuropsychiatric Modulation and Collaborative Innovation Center for Brain Science, Guangdong Provincial Key Laboratory of Brain Connectome and Behavior, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Shenzhen–Hong Kong Institute of Brain Science, Shenzhen Fundamental Research Institutions, Shenzhen, China
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10
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Yu S, Peng X, Wu F, Yang J, Zhou C, Zhang L, Lin H, Wei Z, Zhang W. An Epidemiological Retrospective and Predictive Analysis of Rubella in Beijing, Haidian District of China. J Trop Pediatr 2021; 67:6489144. [PMID: 34966947 DOI: 10.1093/tropej/fmab107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND This study is aimed to investigate the epidemiological characteristics of rubella in Beijing, Haidian District of China, from 2005 to 2020, providing scientific basis for controlling rubella and the congenital rubella syndrome. METHODS Data were collected via the legal infectious disease report cards from medical institutions in Haidian, 2005-2020. The descriptive epidemiological methods plus statistical analysis were used to analyze the distribution of rubella in terms of population, time and region. RESULTS In total, there were 994 cases of rubella in Beijing, Haidian District, with an average incidence of 1.81/100 000. In 2007, it was hit by rubella with the highest incidence up to 8.37/100 000, in the past 16 years. The peak incident of rubella was in spring (March to May). The majority of rubella patients were students and employees (70.1%) who are infected mainly due to the gathering. The majority of patients aged 15-29 years (63.4%). And the male-to-female ratio was 1.45 : 1. Rubella had a feature of spatial aggregation and appeared in all the regions in Haidian. According to Joinpoint regression model, rubella would still exist in the next 3 years with 2-5 new cases per year. CONCLUSIONS Rubella showed a downshift trend from 2008 to 2014, then a sporadic distribution till 2020 in Haidian. Not completely eliminated yet, it is quite impending to improve people's awareness of preventing rubella and their health literacy mentally and physically in the whole population by means of the policy issuing from government.
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Affiliation(s)
- Susu Yu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, Guangdong 510632, P.R. China.,Department of Preventive Health Care, Four Seasons Hospital, Haidian District, Beijing, 100097, P.R. China
| | - Xinyue Peng
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, Guangdong 510632, P.R. China
| | - Fan Wu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, Guangdong 510632, P.R. China
| | - Jiani Yang
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, Guangdong 510632, P.R. China
| | - Cheng Zhou
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, Guangdong 510632, P.R. China
| | - Luyun Zhang
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, Guangdong 510632, P.R. China
| | - Hui Lin
- Department of Radiation Oncology, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou, Guangdong 510080, P.R. China
| | - Zhisheng Wei
- Department of Preventive Health Care, Four Seasons Hospital, Haidian District, Beijing, 100097, P.R. China
| | - Wenjuan Zhang
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, Guangdong 510632, P.R. China
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11
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Wang Q, Cheng X, Liu D, Chen C, Yao K. One single-center serological survey on measles, rubella and mumps antibody levels of people in Youyang, China. Hum Vaccin Immunother 2021; 17:4203-4209. [PMID: 34623932 DOI: 10.1080/21645515.2021.1924522] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
Abstract
Although measles, rubella and mumps elimination had achieved great progress in recent years, outbreaks were still reported worldwide. Serological surveillance on the remaining susceptibility in the population is essential to evaluate the preventive policy, estimate the current risk of infection, and predict evolutions in the future. In this study, we aimed to investigate the prevalence of seropositivity of antibodies against measles, rubella and mumps in a population of all ages in Youyang, southwest China. A cross-sectional hospital-based study was conducted among 657 cases who attended to Youyang Hospital from Sep 2018 to Aug 2019. Sero IgG antibodies were measured by ELISA. No difference in the seropositivity of antibodies against measles, rubella and mumps was found between neither urban vs. rural, nor male vs. female. The overall seropositivity of anti-measles, rubella, mumps IgG antibodies was 81.1% (95% CI: 78.0-83.9), 65.9% (95% CI: 62.2-69.4) and 63.2% (95% CI: 59.4-66.8), respectively. The IgG seropositivity varied with age significantly. In this study, the seropositivity of antibodies against measles, rubella and mumps among the participants was insufficient in the population, especially among infants, teenagers and productive women, who were suggested to booster the immunity. To better control and eliminate measles, mumps and rubella-related diseases, nation-wide active laboratory-supported surveillance, outbreak investigation and revaccination for vulnerable population are needed.
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Affiliation(s)
- Qing Wang
- Key Laboratory of Major Diseases in Children, Ministry of Education, National Key Discipline of Pediatrics (Capital Medical University), Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China
| | - Xiaoping Cheng
- Clinical Laboratory, Youyang County People's Hospital, Chongqing, China
| | - Dandan Liu
- Key Laboratory of Major Diseases in Children, Ministry of Education, National Key Discipline of Pediatrics (Capital Medical University), Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China
| | - Changhui Chen
- Department of Pediatrics, Youyang County People's Hospital, Chongqing, China
| | - Kaihu Yao
- Key Laboratory of Major Diseases in Children, Ministry of Education, National Key Discipline of Pediatrics (Capital Medical University), Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China
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12
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Plotkin SA. Rubella Eradication: Not Yet Accomplished, but Entirely Feasible. J Infect Dis 2021; 224:S360-S366. [PMID: 34590132 PMCID: PMC8482023 DOI: 10.1093/infdis/jiaa530] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2020] [Accepted: 09/03/2020] [Indexed: 11/14/2022] Open
Abstract
Rubella virus is the most teratogenic virus known to science and is capable of causing large epidemics. The RA 27/3 rubella vaccine, usually combined with measles vaccine, has eliminated rubella and congenital rubella syndrome from much of the world, notably from the Western Hemisphere. Except in immunosuppressed individuals, it is remarkably safe. Together with rubella vaccine strains used in China and Japan, eradication of the rubella virus is possible, indeed more feasible than eradication of measles or mumps.
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Affiliation(s)
- Stanley A Plotkin
- Emeritus Professor of Pediatrics, University of Pennsylvania, Vaxconsult, Doylestown, Pennsylvania, USA
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13
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Zhu Z, Cui A, Zhang Y, Mao N, Liu Y, Liu L, Deng L, Chen Y, Zhao H, Gong T, Zhou S, Li F, Lei Y, Yang Y, Wang Y, Sun Z, Feng D, Peng X, Yuan F, Du H, Feng Y, Wang C, Guo J, Huang F, Gao H, Ma Y, Chen H, Deng X, Zhang T, Li L, Wang S, Yang X, Tian X, Fan L, Niu D, Xu W. Transmission dynamics of the rubella virus circulating in China during 2010-2019: two lineage switches between genotypes 1E and 2B. Clin Infect Dis 2021; 73:1157-1164. [PMID: 33904899 DOI: 10.1093/cid/ciab339] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND To provide a better understanding of the progress on rubella control and elimination in China, a genetic analysis was conducted to examine the transmission pattern of the endemic rubella virus in China during 2010-2019. METHODS Total 4895 strains were obtained from 29 out of the 31 provinces in mainland of China during 2010-2019. The genotyping region of the strains were amplified, determined, and assembled. Genotyping analysis and lineage division were performed by comparisons with the World Health Organization reference strains and previously reported lineage reference strains, respectively. Further phylogenetic analyses were performed to compare the genetic relationship. RESULTS During 2010-2019, the domestic lineage 1E-L1 and multiple imported lineages of rubella viruses including 2B-L1, 1E-L2, and 2B-L2c were identified. Further analysis of the circulation trend of the different lineages indicated that two switches occurred among the lineages. The first shift was from lineage 1E-L1 to 2B-L1, which occurred around 2015-2016, followed by the lowest rubella incidence in 2017. The second shift was from lineage 2B-L1 to 1E-L2 and 2B-L2c, which occurred around 2018-2019, coinciding with rubella resurgence and the subsequent nationwide epidemic during 2018-2019. Insufficient genomic information worldwide made it impossible to trace the origin of the imported viruses in this study. CONCLUSIONS China was moving toward rubella elimination, as evidenced by the fact that previous endemic lineages were not detected. However, rubella reemerged in 2018 and 2019 due to the newly imported rubella viruses. Therefore, to realize the rubella elimination goal, joint efforts are required for all countries worldwide.
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Affiliation(s)
- Zhen Zhu
- NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Aili Cui
- NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yan Zhang
- NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Naiying Mao
- NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Ying Liu
- NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Li Liu
- Sichuan Provincial Center for Disease Control and Prevention, Chengdu, China
| | - Lili Deng
- Guangxi Provincial Center for Disease Control and Prevention, Nanning, China
| | - Ying Chen
- Gansu Provincial Center for Disease Control and Prevention, Lanzhou, China
| | - Hua Zhao
- Chongqing Provincial Center for Disease Control and Prevention, Chongqing, China
| | - Tian Gong
- Jiangxi Provincial Center for Disease Control and Prevention, Nanchang, China
| | - Shujie Zhou
- Anhui Provincial Center for Disease Control and Prevention, Hefei, China
| | - Fangcai Li
- Hunan Provincial Center for Disease Control and Prevention, Changsha, China
| | - Yue Lei
- Tianjin Provincial Center for Disease Control and Prevention, Tianjin, China
| | - Yuying Yang
- Shanghai Provincial Center for Disease Control and Prevention, Shanghai, China
| | - Yan Wang
- Liaoning Provincial Center for Disease Control and Prevention, Shenyang, China
| | - Zhaodan Sun
- Heilongjiang Provincial Center for Disease Control and Prevention, Haerbin, China
| | - Daxing Feng
- Henan Provincial Center for Disease Control and Prevention, Zhengzhou, China
| | - Xiaofang Peng
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Fang Yuan
- Ningxia Provincial Center for Disease Control and Prevention, Yinchuan, China
| | - Hui Du
- Hebei Provincial Center for Disease Control and Prevention, Shijiazhuang, China
| | - Yan Feng
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Changyin Wang
- Shandong Provincial Center for Disease Control and Prevention, Jinan, China
| | - Jun Guo
- Guizhou Provincial Center for Disease Control and Prevention, Guiyang, China
| | - Fang Huang
- Beijing Provincial Center for Disease Control and Prevention, Beijing, China
| | - Hui Gao
- Shanxi Provincial Center for Disease Control and Prevention, Taiyuan, China
| | - Yu Ma
- Shaanxi Provincial Center for Disease Control and Prevention, Xian, China
| | - Haiyun Chen
- Hainan Provincial Center for Disease Control and Prevention, Haikou, China
| | - Xiuying Deng
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Ting Zhang
- Hubei Provincial Center for Disease Control and Prevention, Wuhan, China
| | - Liqun Li
- Yunnan Provincial Center for Disease Control and Prevention, Kunming, China
| | - Shuang Wang
- Jilin Provincial Center for Disease Control and Prevention, Changchun, China
| | - Xiuhui Yang
- Fujian Provincial Center for Disease Control and Prevention, Fuzhou, China
| | - Xiaoling Tian
- Neimeng Provincial Center for Disease Control and Prevention, Huhehaote, China
| | - Lixia Fan
- Qinghai Provincial Center for Disease Control and Prevention, Xining, China
| | - Dandan Niu
- NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Wenbo Xu
- NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
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14
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Chong KC, Jia KM. Accelerate the elimination of rubella through supplementary immunisation activities in China. THE LANCET. INFECTIOUS DISEASES 2021; 21:899-900. [PMID: 33515509 DOI: 10.1016/s1473-3099(20)30715-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/23/2020] [Accepted: 08/24/2020] [Indexed: 11/24/2022]
Affiliation(s)
- Ka Chun Chong
- Centre for Health Systems and Policy Research, School of Public Health and Primary Care and Clinical Trials and Biostatistics Laboratory, Shenzhen Research Institute, Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
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15
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Assessing the burden of congenital rubella syndrome in China and evaluating mitigation strategies: a metapopulation modelling study. THE LANCET. INFECTIOUS DISEASES 2021; 21:1004-1013. [PMID: 33515508 DOI: 10.1016/s1473-3099(20)30475-8] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/17/2019] [Revised: 05/22/2020] [Accepted: 05/27/2020] [Indexed: 11/22/2022]
Abstract
BACKGROUND A rubella vaccine was licensed in China in 1993 and added to the Expanded Programme on Immunization in 2008, but a national cross-sectional serological survey during 2014 indicates that many adolescents remain susceptible. Maternal infections during the first trimester often cause miscarriages, stillbirths, and, among livebirths, congenital rubella syndrome. We aimed to evaluate possible supplemental immunisation activities (SIAs) to accelerate elimination of rubella and congenital rubella syndrome. METHODS We analysed residual samples from the national serological survey done in 2014, data from monthly rubella surveillance reports from 2005 and 2016, and additional publications through a systematic review. Using an age-structured population model with provincial strata, we calculated the reproduction numbers and evaluated the gradient of the metapopulation effective reproduction number with respect to potential supplemental immunisation rates. We corroborated these analytical results and estimated times-to-elimination by simulating SIAs among adolescents (ages 10-19 years) and young adults (ages 20-29 years) using a model with regional strata. We estimated the incidence of rubella and burden of congenital rubella syndrome by simulating transmission in a relatively small population lacking only spatial structure. FINDINGS By 2014, childhood immunisation had reduced rubella's reproduction number from 7·6 to 1·2 and SIAs among adolescents were the optimal elimination strategy. We found that less than 10% of rubella infections were reported; that although some women with symptomatic first-trimester infections might have elected to terminate their pregnancies, 700 children could have been born with congenital rubella syndrome during 2014; and that timely SIAs would avert outbreaks that, as susceptible adolescents reached reproductive age, could greatly increase the burden of this syndrome. INTERPRETATION Our findings suggest that SIAs among adolescents would most effectively reduce congenital rubella syndrome as well as eliminate rubella, owing both to fewer infections in the immunised population and absence of infections that those immunised would otherwise have caused. Metapopulation models with realistic mixing are uniquely capable of assessing such indirect effects. FUNDING WHO and National Science Foundation.
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16
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Ma Y, Liu K, Hu W, Song S, Zhang S, Shao Z. Epidemiological Characteristics, Seasonal Dynamic Patterns, and Associations with Meteorological Factors of Rubella in Shaanxi Province, China, 2005-2018. Am J Trop Med Hyg 2020; 104:166-174. [PMID: 33241784 DOI: 10.4269/ajtmh.20-0585] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
Rubella occurs worldwide, causing approximately 100,000 cases annually of congenital rubella syndrome, leading to severe birth defects. Better targeting of public health interventions is needed to achieve rubella elimination goals. To that end, we measured the epidemiological characteristics and seasonal dynamic patterns of rubella and determined its association with meteorological factors in Shaanxi Province, China. Data on rubella cases in Shaanxi Province from 2005 to 2018 were obtained from the Chinese National Notifiable Disease Reporting System. The Morlet wavelet analysis was used to estimate temporal periodicity of rubella incidence. Mixed generalized additive models were used to measure associations between meteorological variables (temperature and relative humidity) and rubella incidence. A total of 17,185 rubella cases were reported in Shaanxi during the study period, for an annual incidence of 3.27 cases per 100,000 population. Interannual oscillations in rubella incidence of 0.8-1.4 years, 3.8-4.8 years, and 0.5 years were detected. Both temperature and relative humidity exhibited nonlinear associations with the incidence of rubella. The accumulative relative risk of transmission for the overall pooled estimates was maximized at a temperature of 0.23°C and relative humidity of 41.6%. This study found that seasonality and meteorological factors have impact on the transmission of rubella; public health interventions to eliminate rubella must consider periodic and seasonal fluctuations as well as meteorological factors.
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Affiliation(s)
- Yu Ma
- 1Department of Epidemiology, Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, School of Public Health, Air Force Medical University, Xi'an, People's Republic of China.,2Shaanxi Provincial Center for Disease Control and Prevention, Xi'an, People's Republic of China
| | - Kun Liu
- 1Department of Epidemiology, Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, School of Public Health, Air Force Medical University, Xi'an, People's Republic of China
| | - Weijun Hu
- 2Shaanxi Provincial Center for Disease Control and Prevention, Xi'an, People's Republic of China
| | - Shuxuan Song
- 1Department of Epidemiology, Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, School of Public Health, Air Force Medical University, Xi'an, People's Republic of China
| | - Shaobai Zhang
- 2Shaanxi Provincial Center for Disease Control and Prevention, Xi'an, People's Republic of China
| | - Zhongjun Shao
- 1Department of Epidemiology, Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, School of Public Health, Air Force Medical University, Xi'an, People's Republic of China
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