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Summary of the COVID-19 epidemic and estimating the effects of emergency responses in China
Coronavirus disease-2019 (COVID-19) pandemic has affected millions of people since December 2019. Summarizing the development of COVID-19 and assessing the effects of control measures are very critical to China and other countries. A logistic growth curve model was employed to compare the developmen...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7803947/ https://www.ncbi.nlm.nih.gov/pubmed/33436848 http://dx.doi.org/10.1038/s41598-020-80201-8 |
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author | Tao, Junwen Ma, Yue Luo, Caiying Huang, Jiaqi Zhang, Tao Yin, Fei |
author_facet | Tao, Junwen Ma, Yue Luo, Caiying Huang, Jiaqi Zhang, Tao Yin, Fei |
author_sort | Tao, Junwen |
collection | PubMed |
description | Coronavirus disease-2019 (COVID-19) pandemic has affected millions of people since December 2019. Summarizing the development of COVID-19 and assessing the effects of control measures are very critical to China and other countries. A logistic growth curve model was employed to compare the development of COVID-19 before and after the emergency response took effect. We found that the number of confirmed cases peaked 9–14 days after the first detection of an imported case, but there was a peak lag in the province where the outbreak was concentrated. Results of the growth curves indicated that the fitted cumulative confirmed cases were close to the actual observed cases, and the R(2) of all models was above 0.95. The average growth rate decreased by 44.42% nationally and by 32.5% outside Hubei Province. The average growth rate in the 12 high-risk areas decreased by 29.9%. The average growth rate of cumulative confirmed cases decreased by approximately 50% after the emergency response. Areas with frequent population migration have a high risk of outbreak. The emergency response taken by the Chinese government was able to effectively control the COVID-19 outbreak. Our study provides references for other countries and regions to control the COVID-19 outbreak. |
format | Online Article Text |
id | pubmed-7803947 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-78039472021-01-13 Summary of the COVID-19 epidemic and estimating the effects of emergency responses in China Tao, Junwen Ma, Yue Luo, Caiying Huang, Jiaqi Zhang, Tao Yin, Fei Sci Rep Article Coronavirus disease-2019 (COVID-19) pandemic has affected millions of people since December 2019. Summarizing the development of COVID-19 and assessing the effects of control measures are very critical to China and other countries. A logistic growth curve model was employed to compare the development of COVID-19 before and after the emergency response took effect. We found that the number of confirmed cases peaked 9–14 days after the first detection of an imported case, but there was a peak lag in the province where the outbreak was concentrated. Results of the growth curves indicated that the fitted cumulative confirmed cases were close to the actual observed cases, and the R(2) of all models was above 0.95. The average growth rate decreased by 44.42% nationally and by 32.5% outside Hubei Province. The average growth rate in the 12 high-risk areas decreased by 29.9%. The average growth rate of cumulative confirmed cases decreased by approximately 50% after the emergency response. Areas with frequent population migration have a high risk of outbreak. The emergency response taken by the Chinese government was able to effectively control the COVID-19 outbreak. Our study provides references for other countries and regions to control the COVID-19 outbreak. Nature Publishing Group UK 2021-01-12 /pmc/articles/PMC7803947/ /pubmed/33436848 http://dx.doi.org/10.1038/s41598-020-80201-8 Text en © The Author(s) 2021 Open Access This 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/. |
spellingShingle | Article Tao, Junwen Ma, Yue Luo, Caiying Huang, Jiaqi Zhang, Tao Yin, Fei Summary of the COVID-19 epidemic and estimating the effects of emergency responses in China |
title | Summary of the COVID-19 epidemic and estimating the effects of emergency responses in China |
title_full | Summary of the COVID-19 epidemic and estimating the effects of emergency responses in China |
title_fullStr | Summary of the COVID-19 epidemic and estimating the effects of emergency responses in China |
title_full_unstemmed | Summary of the COVID-19 epidemic and estimating the effects of emergency responses in China |
title_short | Summary of the COVID-19 epidemic and estimating the effects of emergency responses in China |
title_sort | summary of the covid-19 epidemic and estimating the effects of emergency responses in china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7803947/ https://www.ncbi.nlm.nih.gov/pubmed/33436848 http://dx.doi.org/10.1038/s41598-020-80201-8 |
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