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dc.contributor.authorZhang, Lifeng
dc.contributor.authorWelsch, Roy E.
dc.contributor.authorCao, Zhi
dc.date.accessioned2022-03-10T16:32:43Z
dc.date.available2022-03-10T16:32:43Z
dc.date.issued2022-03-05
dc.identifier.urihttps://hdl.handle.net/1721.1/141119
dc.description.abstractThe first wave of COVID-19 in China began in December 2019. The outbreak was quickly and effectively controlled through strict infection prevention and control with multipronged measures. By the end of March 2020, the outbreak had basically ended. Therefore, there are relatively complete and effective infection prevention and control (IPC) processes in China to curb virus transmission. Furthermore, there were two large-scale updates for the daily reports by the National Health Commission of the People’s Republic of China in the early stage of the pandemic. We retrospectively studied the transmission characteristics and IPC of COVID-19 in China. Additionally, we analyzed and modeled the data in the two revisions. We found that most cases were limited to Hubei Province, especially in Wuhan, and the mortality rate was lower in non-Wuhan areas. We studied the two revisions and utilized the proposed transmission model to revise the daily confirmed cases at the beginning of the pandemic in Wuhan. Moreover, we estimated the cases and deaths for the same stage and analyzed the effect of IPC in China. The results show that strong and effective IPC with strict implementation was able to effectively and quickly control the pandemic.en_US
dc.publisherMultidisciplinary Digital Publishing Instituteen_US
dc.relation.isversionofhttp://dx.doi.org/10.3390/ijerph19053074en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceMultidisciplinary Digital Publishing Instituteen_US
dc.titleThe Transmission, Infection Prevention, and Control during the COVID-19 Pandemic in China: A Retrospective Studyen_US
dc.typeArticleen_US
dc.identifier.citationInternational Journal of Environmental Research and Public Health 19 (5): 3074 (2022)en_US
dc.contributor.departmentSloan School of Management
dc.contributor.departmentStatistics and Data Science Center (Massachusetts Institute of Technology)
dc.identifier.mitlicensePUBLISHER_CC
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2022-03-10T14:18:49Z
dspace.date.submission2022-03-10T14:18:49Z
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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