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Epidemiological analysis of 67 local COVID-19 clusters in Sichuan Province, China

BACKGROUND: This study was intended to investigate the epidemiological characteristics of COVID-19 clusters and the severity distribution of clinical symptoms of involved cases in Sichuan Province, so as to provide information support for the development and adjustment of strategies for the preventi...

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Autores principales: Mao, Suling, Huang, Ting, Yuan, Heng, Li, Min, Huang, Xiaomei, Yang, Changxiao, Zhou, Xingyu, Cheng, Xiuwei, Su, Qian, Wu, Xianping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7543676/
https://www.ncbi.nlm.nih.gov/pubmed/33032575
http://dx.doi.org/10.1186/s12889-020-09606-4
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author Mao, Suling
Huang, Ting
Yuan, Heng
Li, Min
Huang, Xiaomei
Yang, Changxiao
Zhou, Xingyu
Cheng, Xiuwei
Su, Qian
Wu, Xianping
author_facet Mao, Suling
Huang, Ting
Yuan, Heng
Li, Min
Huang, Xiaomei
Yang, Changxiao
Zhou, Xingyu
Cheng, Xiuwei
Su, Qian
Wu, Xianping
author_sort Mao, Suling
collection PubMed
description BACKGROUND: This study was intended to investigate the epidemiological characteristics of COVID-19 clusters and the severity distribution of clinical symptoms of involved cases in Sichuan Province, so as to provide information support for the development and adjustment of strategies for the prevention and control of local clusters. METHODS: The epidemiological characteristics of 67 local clusters of COVID-19 cases in Sichuan Province reported as of March 17, 2020 were described and analyzed. Information about all COVID-19 clusters and involved cases was acquired from the China Information System for Disease Control and Prevention and analyzed with the epidemiological investigation results taken into account. RESULTS: The clusters were temporally and regionally concentrated. Clusters caused by imported cases from other provinces accounted for 73.13%; familial clusters accounted for 68.66%; the average attack rate was 8.54%, and the average secondary attack rate was 6.11%; the median incubation period was 8.5 d; a total of 28 cases met the criteria for incubation period determination, and in the 28 cases, the incubation period was > 14 d in 21.43% (6/28). a total of 226 confirmed cases were reported in the 67 clusters. Ten cases were exposed before the confirmed cases they contacted with developed clinical symptoms, and the possibility of exposure to other infection sources was ruled out; two clusters were caused by asymptomatic carriers; confirmed cases mainly presented with fever, respiratory and systemic symptoms; a gradual decline in the severity of clinical symptoms was noted with the increase of the case generation. CONCLUSIONS: Population movement and gathering restrictions and strict close contact management measures will significantly contribute to the identification and control of cases. Transmission during the incubation period and asymptomatic infections have been noted. Studies on the pathogenicity and transmissibility in these populations and on COVID-19 antibody levels and protective effects in healthy people and cases are required.
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spelling pubmed-75436762020-10-09 Epidemiological analysis of 67 local COVID-19 clusters in Sichuan Province, China Mao, Suling Huang, Ting Yuan, Heng Li, Min Huang, Xiaomei Yang, Changxiao Zhou, Xingyu Cheng, Xiuwei Su, Qian Wu, Xianping BMC Public Health Research Article BACKGROUND: This study was intended to investigate the epidemiological characteristics of COVID-19 clusters and the severity distribution of clinical symptoms of involved cases in Sichuan Province, so as to provide information support for the development and adjustment of strategies for the prevention and control of local clusters. METHODS: The epidemiological characteristics of 67 local clusters of COVID-19 cases in Sichuan Province reported as of March 17, 2020 were described and analyzed. Information about all COVID-19 clusters and involved cases was acquired from the China Information System for Disease Control and Prevention and analyzed with the epidemiological investigation results taken into account. RESULTS: The clusters were temporally and regionally concentrated. Clusters caused by imported cases from other provinces accounted for 73.13%; familial clusters accounted for 68.66%; the average attack rate was 8.54%, and the average secondary attack rate was 6.11%; the median incubation period was 8.5 d; a total of 28 cases met the criteria for incubation period determination, and in the 28 cases, the incubation period was > 14 d in 21.43% (6/28). a total of 226 confirmed cases were reported in the 67 clusters. Ten cases were exposed before the confirmed cases they contacted with developed clinical symptoms, and the possibility of exposure to other infection sources was ruled out; two clusters were caused by asymptomatic carriers; confirmed cases mainly presented with fever, respiratory and systemic symptoms; a gradual decline in the severity of clinical symptoms was noted with the increase of the case generation. CONCLUSIONS: Population movement and gathering restrictions and strict close contact management measures will significantly contribute to the identification and control of cases. Transmission during the incubation period and asymptomatic infections have been noted. Studies on the pathogenicity and transmissibility in these populations and on COVID-19 antibody levels and protective effects in healthy people and cases are required. BioMed Central 2020-10-08 /pmc/articles/PMC7543676/ /pubmed/33032575 http://dx.doi.org/10.1186/s12889-020-09606-4 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Mao, Suling
Huang, Ting
Yuan, Heng
Li, Min
Huang, Xiaomei
Yang, Changxiao
Zhou, Xingyu
Cheng, Xiuwei
Su, Qian
Wu, Xianping
Epidemiological analysis of 67 local COVID-19 clusters in Sichuan Province, China
title Epidemiological analysis of 67 local COVID-19 clusters in Sichuan Province, China
title_full Epidemiological analysis of 67 local COVID-19 clusters in Sichuan Province, China
title_fullStr Epidemiological analysis of 67 local COVID-19 clusters in Sichuan Province, China
title_full_unstemmed Epidemiological analysis of 67 local COVID-19 clusters in Sichuan Province, China
title_short Epidemiological analysis of 67 local COVID-19 clusters in Sichuan Province, China
title_sort epidemiological analysis of 67 local covid-19 clusters in sichuan province, china
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7543676/
https://www.ncbi.nlm.nih.gov/pubmed/33032575
http://dx.doi.org/10.1186/s12889-020-09606-4
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