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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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Deng L, Han Y, Wang J, Liu H, Li G, Wang D, He G. Epidemiological Characteristics of Notifiable Respiratory Infectious Diseases in Mainland China from 2010 to 2018. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:3946. [PMID: 36900957 PMCID: PMC10002032 DOI: 10.3390/ijerph20053946] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Revised: 02/20/2023] [Accepted: 02/21/2023] [Indexed: 06/18/2023]
Abstract
Respiratory infectious diseases (RIDs) pose threats to people's health, some of which are serious public health problems. The aim of our study was to explore epidemic situations regarding notifiable RIDs and the epidemiological characteristics of the six most common RIDs in mainland China. We first collected the surveillance data of all 12 statutory notifiable RIDs for 31 provinces in mainland China that reported between 2010 and 2018, and then the six most prevalent RIDs were selected to analyze their temporal, seasonal, spatiotemporal and population distribution characteristics. From 2010 to 2018, there were 13,985,040 notifiable cases and 25,548 deaths from RIDs in mainland China. The incidence rate of RIDs increased from 109.85/100,000 in 2010 to 140.85/100,000 in 2018. The mortality from RIDs ranged from 0.18/100,000 to 0.24/100,000. The most common RIDs in class B were pulmonary tuberculosis (PTB), pertussis, and measles, while those in class C were seasonal influenza, mumps and rubella. From 2010 to 2018, the incidence rate of PTB and rubella decreased; however, pertussis and seasonal influenza increased, with irregular changes in measles and mumps. The mortality from PTB increased from 2015 to 2018, and the mortality from seasonal influenza changed irregularly. PTB was mainly prevalent among people over 15 years old, while the other five common RIDs mostly occurred among people younger than 15 years old. The incidence of the six common RIDs mostly occurred in winter and spring, and they were spatiotemporally clustered in different areas and periods. In conclusion, PTB, seasonal influenza and mumps remain as public health problems in China, suggesting that continuous government input, more precise interventions, and a high-tech digital/intelligent surveillance and warning system are required to rapidly identify emerging events and timely response.
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Affiliation(s)
- Lele Deng
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Yajun Han
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Jinlong Wang
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Haican Liu
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Guilian Li
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Dayan Wang
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Guangxue He
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
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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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Cui X, Li Y, Yang Y, Tang W, Li Z, Chen H, Li Y, Cui X, Huang Z, Sun X, Xu S, Zhang Y, Li C, Zhang X. Characteristics and Genomic Diversity of Measles Virus From Measles Cases With Known Vaccination Status in Shanghai, China. Front Med (Lausanne) 2022; 9:841650. [PMID: 35847814 PMCID: PMC9281471 DOI: 10.3389/fmed.2022.841650] [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: 12/22/2021] [Accepted: 05/18/2022] [Indexed: 11/13/2022] Open
Abstract
Although the highly effective measles vaccine has dramatically reduced the incidence of measles, measles, and outbreaks continue to occur in individuals who received the measles vaccine because of immunization failure. In this study, patients who have definite records of immunization were enrolled based on measles surveillance in Shanghai, China, from 2009 to 2017, and genomic characteristics regarding viruses retrieved from these cases provided insights into immunization failure. A total of 147 complete genomes of measles virus (MV) were obtained from the laboratory-confirmed cases through Illumina MiSeq. Epidemiological, and genetic characteristics of the MV were focused on information about age, gender, immunization record, variation, and evolution of the whole genome. Furthermore, systematic genomics using phylogeny and selection pressure approaches were analyzed. Our analysis based on the whole genome of 147 isolates revealed 4 clusters: 2 for the genotype H1 (clusters named H1-A, including 73 isolates; H1-B, including 72 isolates) and the other 2 for D8 and B3, respectively. Estimated nucleotide substitution rates of genotype H1 MV derived using genome and individual genes are lower than other genotypes. Our study contributes to global measles epidemiology and proves that whole-genome sequencing was a useful tool for more refined genomic characterization. The conclusion indicates that vaccination may have an effect on virus evolution. However, no major impact was found on the antigenicity in Shanghai isolates.
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Affiliation(s)
- Xiaoxian Cui
- Division of Microbiology, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Yunyi Li
- Division of Microbiology, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Yuying Yang
- Division of Microbiology, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Wei Tang
- Division of Microbiology, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Zhi Li
- Department of Immunization Program, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Hongyou Chen
- Division of Microbiology, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Yang Li
- Chongqing School, University of Chinese Academy of Sciences, Chongqing, China
| | - Xinyi Cui
- Division of Microbiology, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Zhuoying Huang
- Department of Immunization Program, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Xiaodong Sun
- Department of Immunization Program, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Songtao Xu
- National Health Commission (NHC) Key Laboratory of Medical Virology and Viral Diseases, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yan Zhang
- National Health Commission (NHC) Key Laboratory of Medical Virology and Viral Diseases, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Chongshan Li
- Division of Microbiology, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Xi Zhang
- Division of Microbiology, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
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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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Schenk J, Abrams S, Theeten H, Van Damme P, Beutels P, Hens N. Immunogenicity and persistence of trivalent measles, mumps, and rubella vaccines: a systematic review and meta-analysis. THE LANCET. INFECTIOUS DISEASES 2021; 21:286-295. [PMID: 32888410 PMCID: PMC9665966 DOI: 10.1016/s1473-3099(20)30442-4] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/29/2019] [Revised: 04/23/2020] [Accepted: 04/29/2020] [Indexed: 12/23/2022]
Abstract
BACKGROUND Despite the universal use of the two-dose trivalent measles-mumps-rubella (MMR) vaccine in the past two decades, outbreaks of these diseases still occur in countries with high vaccine uptake, giving rise to concerns about primary and secondary failure of MMR vaccine components. We aimed to provide seroconversion and waning rate estimates for the measles, mumps, and rubella components of MMR vaccines. METHODS In this systematic review and meta-analysis we searched PubMed (including MEDLINE), Web of Science, and Embase for randomised controlled trials, cohort studies, or longitudinal studies reporting the immunogenicity and persistence of MMR vaccines, published in English from database inception to Dec 31, 2019. Studies were included if they investigated vaccine-induced immunity in healthy individuals who received a trivalent MMR vaccine, including different dosages and timepoints of vaccine administration. Studies featuring coadministration of MMR with other vaccines, maternal immunity to the MMR vaccine, or non-trivalent formulations of the vaccine were excluded. Pooled seroconversion and waning rates were estimated by random-effects meta-analyses. This study is registered with PROSPERO, CRD42019116705. FINDINGS We identified 3615 unique studies, 62 (1·7%) of which were eligible for analysis. Estimated overall seroconversion rates were 96·0% (95% CI 94·5-97·4; I2=91·1%) for measles, 93·3% (91·1-95·2; I2=94·9%) for mumps when excluding the Rubini strain, 91·1% (87·4-94·1; I2=96·6%) for mumps when including the Rubini strain, and 98·3% (97·3-99·2; I2=93·0%) for rubella. Estimated overall annual waning rates were 0·009 (95% CI 0·005-0·016; I2=85·2%) for measles, 0·024 (0·016-0·039; I2=94·7%) for mumps, and 0·012 (0·010-0·014; I2=93·3%) for rubella. INTERPRETATION Our meta-analysis provides estimates of primary and secondary vaccine failure, which are essential to improve the accuracy of mathematical and statistical modelling to understand and predict the occurrence of future measles, mumps, and rubella outbreaks in countries with high vaccine uptake. FUNDING European Research Council.
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Affiliation(s)
- Julie Schenk
- Data Science Institute, I-BioStat, UHasselt, Diepenbeek, Belgium.
| | - Steven Abrams
- Data Science Institute, I-BioStat, UHasselt, Diepenbeek, Belgium; Global Health Institute, Department of Epidemiology and Social Medicine, Vaccine & Infectious Disease Institute, University of Antwerp, Antwerp, Belgium
| | - Heidi Theeten
- Centre for the Evaluation of Vaccination, Vaccine & Infectious Disease Institute, University of Antwerp, Antwerp, Belgium
| | - Pierre Van Damme
- Centre for the Evaluation of Vaccination, Vaccine & Infectious Disease Institute, University of Antwerp, Antwerp, Belgium
| | - Philippe Beutels
- Centre for Health Economic Research and Modelling Infectious Diseases, Vaccine & Infectious Disease Institute, University of Antwerp, Antwerp, Belgium
| | - Niel Hens
- Data Science Institute, I-BioStat, UHasselt, Diepenbeek, Belgium; Centre for Health Economic Research and Modelling Infectious Diseases, Vaccine & Infectious Disease Institute, University of Antwerp, Antwerp, Belgium
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Cui A, Wang H, Zhu Z, Mao N, Song J, Zhang Y, Xu W. Measles Vaccine-Associated Rash Illness in China: an Emerging Issue in the Process of Measles Elimination. J Clin Microbiol 2020; 58:e01472-20. [PMID: 32878947 PMCID: PMC7587102 DOI: 10.1128/jcm.01472-20] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Accepted: 08/24/2020] [Indexed: 11/20/2022] Open
Abstract
Along with the implementation of measles case-based surveillance, measles vaccine-associated rash illness (VARI) cases were detected in China. To better understand the characteristics of VARI, 101 VARI cases confirmed by measles virus genotyping in 2011 to 2018 were analyzed in this study. With the decrease in measles incidence, the detection rate of VARI cases increased among the cases confirmed by genotyping. Compared with genotype H1 wild-type measles, VARI occurred throughout the year, without obvious seasonal distribution. Infants and children of ages 8 to 23 months were the main population of VARI. VARI mainly occurred within 14 days after measles vaccination. The number of VARI cases peaked on the 8th day after measles vaccination, which was later than that of genotype H1 wild-type measles cases with a measles vaccination history. VARI presents clinical symptoms similar to those of measles. The frequencies of the "3Cs" (cough, coryza, and conjunctivitis), Koplik spots, and complications in VARI cases were significantly lower than those in wild-type measles cases. In total, 94.06% of sequences from VARI cases were identical to measles vaccine strain S191 in the C-terminal 450-nucleotide sequence of the nucleoprotein (N-450) gene. A few substitutions were found in N-450 sequences of the VARI cases. The confirmation of VARI has become an emerging issue in the process of measles elimination. Rapid confirmation of VARI is critical for measles surveillance and will help to determine the response measures for measles, especially in measles preelimination and elimination settings. The suspected measles cases with measles-containing vaccine (MCV) vaccination were recommended to be tested by the laboratory to identify wild-type measles or VARI.
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Affiliation(s)
- Aili Cui
- WHO WPRO Regional Reference Laboratory of Measles/Rubella and 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, People's Republic of China
| | - Huiling Wang
- WHO WPRO Regional Reference Laboratory of Measles/Rubella and 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, People's Republic of China
| | - Zhen Zhu
- WHO WPRO Regional Reference Laboratory of Measles/Rubella and 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, People's Republic of China
| | - Naiying Mao
- WHO WPRO Regional Reference Laboratory of Measles/Rubella and 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, People's Republic of China
| | - Jinhua Song
- WHO WPRO Regional Reference Laboratory of Measles/Rubella and 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, People's Republic of China
| | - Yan Zhang
- WHO WPRO Regional Reference Laboratory of Measles/Rubella and 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, People's Republic of China
| | - Wenbo Xu
- WHO WPRO Regional Reference Laboratory of Measles/Rubella and 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, People's Republic of China
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Development of a multiplex one-step real-time RT-PCR assay for the simultaneous detection of eight viruses associated with febrile rash illnesses. BIOSAFETY AND HEALTH 2020. [DOI: 10.1016/j.bsheal.2020.04.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
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9
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Cui A, Zhang Y, Zhu Z, Wang H, Mao N, Song J, Xu W. Classification of measles cases from 2014 to 2018: Implications for progress towards measles elimination in China. Vaccine 2020; 38:3832-3838. [PMID: 32280040 DOI: 10.1016/j.vaccine.2020.03.049] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2020] [Revised: 02/17/2020] [Accepted: 03/27/2020] [Indexed: 02/04/2023]
Abstract
Measles incidence has decreased dramatically in China due to the implement of measles-containing vaccine (MCV). However, a measles epidemic caused resurgence recently, even among vaccinated individuals. To evaluate the effectiveness of current immunization programs and discuss initiatives for the next step in measles elimination in mainland China, the characteristics of 121,969 laboratory-confirmed measles cases reported in the measles surveillance system (MSS) during 2014-2018 were analyzed according to the vaccination status of the cases in this study. Children under 2 years of age without MCV vaccination (44,424, 36.42% of all cases) and adults over 20 years of age with an unknown vaccination history (37,564, 30.80% of all cases) accounted for the majority of measles cases from 2014 to 2018. 42,425 (34.78%) of the 77,384 cases with available vaccination information were categorized as programmatically preventable. 38,840 (91.55%) of the 42,425 cases were aged ≥8 months without the MCV vaccination history. 34,959 (28.66%) cases were categorized as programmatically non-preventable, of whom 22,611 (64.68%) were too young to receive their first MCV dose, 6857 (19.61%) received their first dose and were too young to receive their second dose, 5491 (15.71%) received at least two doses of MCV. 15,933 (13.06%) of the 121,969 cases had a history of MCV vaccination. Measles virus infection in cases with an MCV vaccination history mainly occurred within the first month after MCV vaccination, especially in those who received a one-dose measles vaccination. MCV vaccination could reduce the frequencies of clinical symptoms and complications of measles cases. Our study confirmed that the current measles immunization programs used in mainland China is effective in reducing the measles incidence in China. Unvaccinated infants/children aged 8-23 months and high risk susceptible adults over 20 years of age with unknown vaccination histories should be the focus groups of measles immunization activities in China in the future.
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Affiliation(s)
- Aili Cui
- WHO WPRO Regional Reference Laboratory of Measles/Rubella and 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, People's Republic of China
| | - Yan Zhang
- WHO WPRO Regional Reference Laboratory of Measles/Rubella and 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, People's Republic of China.
| | - Zhen Zhu
- WHO WPRO Regional Reference Laboratory of Measles/Rubella and 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, People's Republic of China
| | - Huiling Wang
- WHO WPRO Regional Reference Laboratory of Measles/Rubella and 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, People's Republic of China
| | - Naiying Mao
- WHO WPRO Regional Reference Laboratory of Measles/Rubella and 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, People's Republic of China
| | - Jinhua Song
- WHO WPRO Regional Reference Laboratory of Measles/Rubella and 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, People's Republic of China
| | - Wenbo Xu
- WHO WPRO Regional Reference Laboratory of Measles/Rubella and 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, People's Republic of China.
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Molecular characterization of measles viruses in China: Circulation dynamics of the endemic H1 genotype from 2011 to 2017. PLoS One 2019; 14:e0218782. [PMID: 31220172 PMCID: PMC6586441 DOI: 10.1371/journal.pone.0218782] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2018] [Accepted: 06/11/2019] [Indexed: 11/19/2022] Open
Abstract
Due to the Expanded Program on Immunization (EPI) and supplementary immunization activities (SIAs) in China, the incidence of measles in China has decreased extensively. The incidence reached its lowest levels in contemporary history in 2012 and 2017, with incidence rates of 4.6 and 4.3 per million population, respectively. However, more than 147,000 measles cases were reported from 2013 to 2016. Furthermore, the proportions of cases in infants < 8 months and adults have been increasing since 2013, representing a considerable challenge for measles elimination in China. A total of 14,868 measles viruses were isolated from confirmed measles cases from 2011 to 2017, of which 14,631 were identified as the predominant endemic genotype, H1; 87 were identified as genotype A viruses that were vaccine associated strains; and 150 were identified as non-H1 genotype viruses. The non-H1 genotype viruses included 62 D8 viruses, 70 D9 viruses, 3 D11 viruses, 14 B3 viruses, and 1 G3 virus, which were identified as imported or import-related viruses that caused sporadic cases or small outbreaks. Most of the transmission chains detected during the period 2011–2012 were interrupted and were followed by many new transmission chains of unknown origin that spread, causing a large measles resurgence in China during 2013–2016. After 4 years of measles resurgence and continuous implementation of the routine immunization program and SIAs, the population immunity reached a sufficiently high level to interrupt most of the transmission chains; only a few strains survived, which continued to be sporadically detected in China in 2017. In the present study, the results from the combined epidemiological and molecular virological data demonstrated the great progress towards measles elimination in China by the further analysis of circulation dynamics for the endemic H1 genotype measles virus from 2011 to 2017. And this study accumulated critical baseline data on circulating wild-type measles viruses in China and provides comprehensive information to the world. These comprehensive baseline data provide evidence to support measles elimination in the future, not only in China but also in other countries worldwide. In addition, the information will be very useful to other countries for tracing their sources of measles cases and for identifying transmission links, which can help prevent potential measles outbreaks.
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Tetro JA. From hidden outbreaks to epidemic emergencies: the threat associated with neglecting emerging pathogens. Microbes Infect 2019; 21:4-9. [PMID: 29959095 PMCID: PMC7110498 DOI: 10.1016/j.micinf.2018.06.004] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2018] [Accepted: 06/20/2018] [Indexed: 12/11/2022]
Abstract
Not all infectious disease outbreaks undergo full epidemiological investigations. In certain situations, the resultant lack of knowledge has led to the development of epidemics and public health emergencies. This review will examine six emerging pathogens including their history, present status, and potential to expand to epidemics. Recommendations to improve our understanding of these hidden outbreaks and others also will be provided in the context of health systems policy.
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Affiliation(s)
- Jason A Tetro
- College of Biological Sciences, University of Guelph, Guelph, Ontario, N1G 2W1, Canada.
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Importance of real-time RT-PCR to supplement the laboratory diagnosis in the measles elimination program in China. PLoS One 2018; 13:e0208161. [PMID: 30500842 PMCID: PMC6267958 DOI: 10.1371/journal.pone.0208161] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2018] [Accepted: 11/13/2018] [Indexed: 11/19/2022] Open
Abstract
In addition to high vaccination coverage, timely and accurate laboratory confirmation of measles cases is critical to interrupt measles transmission. To evaluate the role of real-time reverse transcription-polymerase chain reaction (RT-PCR) in the diagnosis of measles cases, 46,363 suspected measles cases with rash and 395 suspected measles cases without rash were analyzed in this study; the cases were obtained from the Chinese measles surveillance system (MSS) during 2014–2017 and simultaneously detected by measles-specific IgM enzyme-linked immunosorbent assay (ELISA) and real-time RT-PCR. However, some IgM-negative measles cases were identified by real-time RT-PCR. The proportion of these IgM-negative and viral nucleic acid-positive measles cases was high among measles cases with measles vaccination history, cases without rash symptoms, and cases within 3 days of specimen collection after onset. The proportion of IgM-negative and viral nucleic acid-positive measles cases in the 0–3 day group was up to 14.4% for measles cases with rash and 40% for measles cases without rash. Moreover, the proportions of IgM-negative and nucleic acid-positive measles cases gradually increased with the increase in the measles vaccination dose. Therefore, integrated with IgM ELISA, real-time RT-PCR would greatly improve the accurate diagnosis of measles cases and avoid missing the measles cases, especially for measles cases during the first few days after onset when the patients were highly contagious and for measles cases with secondary vaccine failure. In conclusion, our study reconfirmed that IgM ELISA is the gold-standard detection assay for measles cases confirmation. However, real-time RT-PCR should be introduced and used to supplement the laboratory diagnosis, especially in the setting of pre-elimination and/or elimination wherever appropriate.
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13
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Durrheim DN. Global infectious disease surveillance: getting back to basics. Int Health 2017; 9:135-136. [PMID: 28582557 DOI: 10.1093/inthealth/ihx012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2017] [Accepted: 04/24/2017] [Indexed: 11/13/2022] Open
Affiliation(s)
- D N Durrheim
- Professor of Public Health Medicine, University of Newcastle, Australia
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