Zhuowei Li, Lele Deng, Jiandong Li, Xiang Ren, Guangxue He
{"title":"2014-2021 年中国内地麻疹-腮腺炎-风疹流行病学特征。","authors":"Zhuowei Li, Lele Deng, Jiandong Li, Xiang Ren, Guangxue He","doi":"10.3967/bes2024.135","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>To analyze the epidemiological characteristics of measles, mumps, and rubella (MMR) between 2014 and 2021 and identify potential strategies and measures for the prevention and control of MMR in China.</p><p><strong>Methods: </strong>Data on MMR was obtained from China's National Notifiable Disease Reporting System for the period from 2014 to 2021. Spatiotemporal distributions were analyzed using SaTScan; temporal trends were analyzed using JoinPoint; and clusters were visualized using ArcGIS.</p><p><strong>Results: </strong>A total of 1,808,067 cases of MMR were reported from 2014 to 2021 in China's mainland, most of which were children and students under the age of 20. The incidence of measles declined during 2014-2021, whereas that of mumps and rubella peaked in 2019. MMR-reported cases generally peaked from March to July; however, high numbers of mumps cases were reported from September to November in 2020-2021. Measles and rubella clusters predominantly occurred in Western China, whereas clusters of mumps were generally found in the southern region.</p><p><strong>Conclusion: </strong>The relatively heterogeneous epidemiological characteristics of MMR have highlighted the weaknesses and gaps in surveillance and timely control of MMR transmission in China's mainland. Real-time and intelligent monitoring data should be collected for evidence-based early interventions.</p>","PeriodicalId":93903,"journal":{"name":"Biomedical and environmental sciences : BES","volume":"37 11","pages":"1273-1282"},"PeriodicalIF":0.0000,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Epidemiological Characteristics of Measles-Mumps-Rubella in China's Mainland during 2014-2021.\",\"authors\":\"Zhuowei Li, Lele Deng, Jiandong Li, Xiang Ren, Guangxue He\",\"doi\":\"10.3967/bes2024.135\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>To analyze the epidemiological characteristics of measles, mumps, and rubella (MMR) between 2014 and 2021 and identify potential strategies and measures for the prevention and control of MMR in China.</p><p><strong>Methods: </strong>Data on MMR was obtained from China's National Notifiable Disease Reporting System for the period from 2014 to 2021. Spatiotemporal distributions were analyzed using SaTScan; temporal trends were analyzed using JoinPoint; and clusters were visualized using ArcGIS.</p><p><strong>Results: </strong>A total of 1,808,067 cases of MMR were reported from 2014 to 2021 in China's mainland, most of which were children and students under the age of 20. The incidence of measles declined during 2014-2021, whereas that of mumps and rubella peaked in 2019. MMR-reported cases generally peaked from March to July; however, high numbers of mumps cases were reported from September to November in 2020-2021. Measles and rubella clusters predominantly occurred in Western China, whereas clusters of mumps were generally found in the southern region.</p><p><strong>Conclusion: </strong>The relatively heterogeneous epidemiological characteristics of MMR have highlighted the weaknesses and gaps in surveillance and timely control of MMR transmission in China's mainland. Real-time and intelligent monitoring data should be collected for evidence-based early interventions.</p>\",\"PeriodicalId\":93903,\"journal\":{\"name\":\"Biomedical and environmental sciences : BES\",\"volume\":\"37 11\",\"pages\":\"1273-1282\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-11-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biomedical and environmental sciences : BES\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3967/bes2024.135\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biomedical and environmental sciences : BES","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3967/bes2024.135","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Epidemiological Characteristics of Measles-Mumps-Rubella in China's Mainland during 2014-2021.
Objective: To analyze the epidemiological characteristics of measles, mumps, and rubella (MMR) between 2014 and 2021 and identify potential strategies and measures for the prevention and control of MMR in China.
Methods: Data on MMR was obtained from China's National Notifiable Disease Reporting System for the period from 2014 to 2021. Spatiotemporal distributions were analyzed using SaTScan; temporal trends were analyzed using JoinPoint; and clusters were visualized using ArcGIS.
Results: A total of 1,808,067 cases of MMR were reported from 2014 to 2021 in China's mainland, most of which were children and students under the age of 20. The incidence of measles declined during 2014-2021, whereas that of mumps and rubella peaked in 2019. MMR-reported cases generally peaked from March to July; however, high numbers of mumps cases were reported from September to November in 2020-2021. Measles and rubella clusters predominantly occurred in Western China, whereas clusters of mumps were generally found in the southern region.
Conclusion: The relatively heterogeneous epidemiological characteristics of MMR have highlighted the weaknesses and gaps in surveillance and timely control of MMR transmission in China's mainland. Real-time and intelligent monitoring data should be collected for evidence-based early interventions.