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Kinoshita R, Arai S, Suzuki M, Nishiura H. Identifying the population susceptible to rubella in Japan, 2020: Fine-scale risk mapping. J Infect Public Health 2024; 17:947-955. [PMID: 38608455 DOI: 10.1016/j.jiph.2024.03.029] [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: 12/26/2023] [Revised: 03/13/2024] [Accepted: 03/27/2024] [Indexed: 04/14/2024] Open
Abstract
BACKGROUND Rubella remains a public health challenge in Japan, impeding the attainment of herd immunity. Despite vaccination efforts since 1976, persistent outbreaks reveal a susceptibility gap in male adults born before 1995. Seroepidemiological surveys are pivotal in evaluating population immunity and identifying at-risk groups. METHODS This study aims to pinpoint high-risk areas for potential rubella outbreaks in Japan by merging seroepidemiological data from 2020 with population census information. Various data sources, including spatial demographic data, reported rubella and congenital rubella syndrome (CRS) cases, and traveler lodging statistics, were employed. Geospatial information for Japan's 230,300 small geographic areas was analyzed, and HI (hemagglutination inhibition) titers were examined by age and sex. Seroconversion was defined as an HI titer ≥ 1:32 or 1:16, indicating protective immunity. Geospatial maps illustrated the distribution of susceptible individuals per square kilometer, emphasizing high-risk urban areas like Tokyo and Osaka. Demographic shifts in the working-age population were assessed. RESULTS Susceptible individuals cluster in densely populated urban centers, persisting despite demographic changes. The study highlights areas at risk of increased susceptibility, particularly with an HI titer cut-off of 1:16. Foreign travelers pose potential rubella importation risks as travel volume to Japan rises. To prevent epidemics and congenital rubella syndrome burden, achieving and sustaining herd immunity in high-risk areas is crucial. CONCLUSIONS This study offers a comprehensive assessment of vulnerability in densely populated Japanese regions. Integrating population statistics with seroepidemiological data enhances our understanding of population immunity, guiding resource allocation for supplementary vaccination planning. To avert rubella epidemics, high-risk locations must bolster indirect protection through herd immunity, ultimately preventing congenital rubella syndrome.
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Affiliation(s)
- Ryo Kinoshita
- Center for Surveillance, Immunization, and Epidemiologic Research, National Institute of Infectious Diseases, Tokyo, Japan; Kyoto University School of Public Health, Kyoto, Japan
| | - Satoru Arai
- Center for Surveillance, Immunization, and Epidemiologic Research, National Institute of Infectious Diseases, Tokyo, Japan
| | - Motoi Suzuki
- Center for Surveillance, Immunization, and Epidemiologic Research, National Institute of Infectious Diseases, Tokyo, Japan
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Hönemann M, Scharfenberg E, Dietze N, Claus C, Jochmann C, Liebert UG. Rubella virus-associated uveitis at a tertiary care hospital in Germany between 2013 and 2019. BMC Ophthalmol 2023; 23:447. [PMID: 37932668 PMCID: PMC10629089 DOI: 10.1186/s12886-023-03182-y] [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: 07/23/2023] [Accepted: 10/23/2023] [Indexed: 11/08/2023] Open
Abstract
Uveitis is a process of intraocular inflammation that may involve different sections of the uveal tract. Apart from systemic or localized immune-mediated diseases, infections are key players in the etiology of uveitis and entail different treatment strategies. Rubella virus (RuV) is a recognized causative agent for the development of Fuchs uveitis, representing a major cause of virus-associated intraocular inflammation. A cohort of 159 patients diagnosed with different forms of uveitis between 2013 and 2019 was subjected to diagnostic antibody testing of the aqueous or vitreous humor. The diagnostic panel included RuV, cytomegalovirus, herpes simplex virus, varicella-zoster virus, and toxoplasmosis. Within this cohort, 38 RuV-associated uveitis (RAU) patients were identified based on a pathologic Goldman-Witmer coefficient indicative of an underlying RuV infection. With a mean age of 45.9 years, the RAU patients were younger than the non-RAU patients (56.3, p < 0.001). The evaluation of clinical parameters revealed a predominance of anterior uveitis and late sequalae such as cataract and glaucoma among the RAU patients. In 15 of the patients a history of prior RuV infections could be confirmed. The study underlines the importance of long-term surveillance of RuV associated diseases that originate from infections before the introduction of RuV vaccination programs.
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Affiliation(s)
- Mario Hönemann
- Institute of Medical Microbiology and Virology, Leipzig University, Johannisallee 30, 04103, Leipzig, Germany.
| | - Elizabeth Scharfenberg
- Department of Ophthalmology, University Hospital Leipzig, Leipzig University, Liebigstrasse 21, 04103, Leipzig, Germany
| | - Nadine Dietze
- Institute of Medical Microbiology and Virology, Leipzig University, Johannisallee 30, 04103, Leipzig, Germany
| | - Claudia Claus
- Institute of Medical Microbiology and Virology, Leipzig University, Johannisallee 30, 04103, Leipzig, Germany
| | - Claudia Jochmann
- Department of Ophthalmology, University Hospital Leipzig, Leipzig University, Liebigstrasse 21, 04103, Leipzig, Germany
| | - Uwe Gerd Liebert
- Institute of Medical Microbiology and Virology, Leipzig University, Johannisallee 30, 04103, Leipzig, Germany
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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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Congenital Rubella Syndrome Surveillance After Measles Rubella Vaccination Introduction in Yogyakarta, Indonesia. Pediatr Infect Dis J 2021; 40:1144-1150. [PMID: 34609101 DOI: 10.1097/inf.0000000000003290] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
BACKGROUND Congenital rubella syndrome (CRS) is a fatal disease causing severe congenital defects. Indonesia had the highest CRS cases in the world in 2016 with a commitment to achieve elimination of rubella disease by 2020, through the campaign and introduction of measles rubella (MR) national vaccination program in 2017 and 2018. This study aimed to describe the impact of the national vaccination campaign by conducting surveillance of CRS cases and comparing the incidence of new CRS cases before and after the MR vaccination campaign. METHODS From July 2015 to July 2020, we conducted surveillance of CRS in Yogyakarta. Suspected patients underwent complete clinical examinations. Serology was tested for the presence of IgM and IgG antibodies against rubella. Descriptive analysis was used to characterize the demographic and clinical characteristics of the cases before and after the MR vaccination campaign. RESULTS The study involved 229 infants who were suspected for CRS. Laboratory-confirmed cases were found in 47 of them (20.86%). Most of the laboratory-confirmed cases (55.3%) were reported among 1-5 months old infants. Common clinical features among laboratory-confirmed cases included structural heart defects in 43 (91.4%). There was a significant decrease (60.9%) of CRS incidence from 0.39 per 1000 live births in the precampaign era to 0.08 in the postcampaign era (P = 0.00). CONCLUSION There has been a significant declining number of CRS cases based on pre- and post-MR vaccination campaign in Yogyakarta, Indonesia. An effective surveillance system will help monitor the number of CRS cases.
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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] [MESH Headings] [Grants] [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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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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Seroprevalence of ToRCH Pathogens in Southeast Asia. Microorganisms 2021; 9:microorganisms9030574. [PMID: 33799699 PMCID: PMC7999562 DOI: 10.3390/microorganisms9030574] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2021] [Revised: 03/07/2021] [Accepted: 03/08/2021] [Indexed: 11/17/2022] Open
Abstract
ToRCH is the acronym for several pathogens associated with pregnancy complications and sequelae in the unborn or newborn child. Particularly primary infections during pregnancy are associated with increased risk. Seroprevalence data of ToRCH infections are important, especially in countries with weak disease surveillance systems, to estimate immunity and vaccination levels, as well as exposure rates and thus the risk of infection during pregnancy. A systematic literature search spanning a 30-year time period was conducted to identify serosurveys on ToRCH pathogens in Southeast Asia. The 96 identified studies showed that some pathogens were well studied, while only limited data were available for others. Studies from the better-developed countries of the region were more abundant. Moreover, seroprevalence data were often limited to a certain geographical region within the country or to certain cohorts, there was an evident lack of recent serosurveys, and the study quality was often not adequate. Well-designed and area-wide serosurveys of ToRCH pathogens are clearly warranted. If combined with risk factor analysis, these studies may guide the development and implementation of effective measures for infection prevention, especially during pregnancy. In addition, educational programs for health care workers and for pregnant women during antenatal care are urgently needed.
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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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