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The time-varying transmission dynamics of COVID-19 and synchronous public health interventions in China
OBJECTIVES: We aimed to estimate the time-varying transmission dynamics of COVID-19 in China, Wuhan City, and Guangdong province, and compare to that of severe acute respiratory syndrome (SARS). METHODS: Data on COVID-19 cases in China up to 20 March 2020 was collected from epidemiological investiga...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier Ltd on behalf of International Society for Infectious Diseases.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7836966/ https://www.ncbi.nlm.nih.gov/pubmed/33181330 http://dx.doi.org/10.1016/j.ijid.2020.11.005 |
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author | Xiao, Jianpeng Hu, Jianxiong He, Guanhao Liu, Tao Kang, Min Rong, Zuhua Lin, Lifeng Zhong, Haojie Huang, Qiong Deng, Aiping Zeng, Weilin Tan, Xiaohua Zeng, Siqing Zhu, Zhihua Li, Jiansen Gong, Dexin Wan, Donghua Chen, Shaowei Guo, Lingchuan Li, Yihan Li, Yan Sun, Limei Liang, Wenjia Song, Tie He, Jianfeng Ma, Wenjun |
author_facet | Xiao, Jianpeng Hu, Jianxiong He, Guanhao Liu, Tao Kang, Min Rong, Zuhua Lin, Lifeng Zhong, Haojie Huang, Qiong Deng, Aiping Zeng, Weilin Tan, Xiaohua Zeng, Siqing Zhu, Zhihua Li, Jiansen Gong, Dexin Wan, Donghua Chen, Shaowei Guo, Lingchuan Li, Yihan Li, Yan Sun, Limei Liang, Wenjia Song, Tie He, Jianfeng Ma, Wenjun |
author_sort | Xiao, Jianpeng |
collection | PubMed |
description | OBJECTIVES: We aimed to estimate the time-varying transmission dynamics of COVID-19 in China, Wuhan City, and Guangdong province, and compare to that of severe acute respiratory syndrome (SARS). METHODS: Data on COVID-19 cases in China up to 20 March 2020 was collected from epidemiological investigations or official websites. Data on SARS cases in Guangdong Province, Beijing, and Hong Kong during 2002–3 was also obtained. We estimated the doubling time, basic reproduction number (R(0)), and time-varying reproduction number (R(t)) of COVID-19 and SARS. RESULTS: As of 20 March 2020, 80,739 locally acquired COVID-19 cases were identified in mainland China, with most cases reported between 20 January and 29 February 2020. The R(0) value of COVID-19 in China and Wuhan was 5.0 and 4.8, respectively, which was greater than the R(0) value of SARS in Guangdong (R(0) = 2.3), Hong Kong (R(0) = 2.3), and Beijing (R(0) = 2.6). At the start of the COVID-19 epidemic, the R(t) value in China peaked at 8.4 and then declined quickly to below 1.0 in one month. With SARS, the R(t) curve saw fluctuations with more than one peak, the highest peak was lower than that for COVID-19. CONCLUSIONS: COVID-19 has much higher transmissibility than SARS, however, a series of prevention and control interventions to suppress the outbreak were effective. Sustained efforts are needed to prevent the rebound of the epidemic in the context of the global pandemic. |
format | Online Article Text |
id | pubmed-7836966 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Authors. Published by Elsevier Ltd on behalf of International Society for Infectious Diseases. |
record_format | MEDLINE/PubMed |
spelling | pubmed-78369662021-01-26 The time-varying transmission dynamics of COVID-19 and synchronous public health interventions in China Xiao, Jianpeng Hu, Jianxiong He, Guanhao Liu, Tao Kang, Min Rong, Zuhua Lin, Lifeng Zhong, Haojie Huang, Qiong Deng, Aiping Zeng, Weilin Tan, Xiaohua Zeng, Siqing Zhu, Zhihua Li, Jiansen Gong, Dexin Wan, Donghua Chen, Shaowei Guo, Lingchuan Li, Yihan Li, Yan Sun, Limei Liang, Wenjia Song, Tie He, Jianfeng Ma, Wenjun Int J Infect Dis Article OBJECTIVES: We aimed to estimate the time-varying transmission dynamics of COVID-19 in China, Wuhan City, and Guangdong province, and compare to that of severe acute respiratory syndrome (SARS). METHODS: Data on COVID-19 cases in China up to 20 March 2020 was collected from epidemiological investigations or official websites. Data on SARS cases in Guangdong Province, Beijing, and Hong Kong during 2002–3 was also obtained. We estimated the doubling time, basic reproduction number (R(0)), and time-varying reproduction number (R(t)) of COVID-19 and SARS. RESULTS: As of 20 March 2020, 80,739 locally acquired COVID-19 cases were identified in mainland China, with most cases reported between 20 January and 29 February 2020. The R(0) value of COVID-19 in China and Wuhan was 5.0 and 4.8, respectively, which was greater than the R(0) value of SARS in Guangdong (R(0) = 2.3), Hong Kong (R(0) = 2.3), and Beijing (R(0) = 2.6). At the start of the COVID-19 epidemic, the R(t) value in China peaked at 8.4 and then declined quickly to below 1.0 in one month. With SARS, the R(t) curve saw fluctuations with more than one peak, the highest peak was lower than that for COVID-19. CONCLUSIONS: COVID-19 has much higher transmissibility than SARS, however, a series of prevention and control interventions to suppress the outbreak were effective. Sustained efforts are needed to prevent the rebound of the epidemic in the context of the global pandemic. The Authors. Published by Elsevier Ltd on behalf of International Society for Infectious Diseases. 2021-02 2020-11-09 /pmc/articles/PMC7836966/ /pubmed/33181330 http://dx.doi.org/10.1016/j.ijid.2020.11.005 Text en © 2021 The Authors. Published by Elsevier Ltd on behalf of International Society for Infectious Diseases. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Xiao, Jianpeng Hu, Jianxiong He, Guanhao Liu, Tao Kang, Min Rong, Zuhua Lin, Lifeng Zhong, Haojie Huang, Qiong Deng, Aiping Zeng, Weilin Tan, Xiaohua Zeng, Siqing Zhu, Zhihua Li, Jiansen Gong, Dexin Wan, Donghua Chen, Shaowei Guo, Lingchuan Li, Yihan Li, Yan Sun, Limei Liang, Wenjia Song, Tie He, Jianfeng Ma, Wenjun The time-varying transmission dynamics of COVID-19 and synchronous public health interventions in China |
title | The time-varying transmission dynamics of COVID-19 and synchronous public health interventions in China |
title_full | The time-varying transmission dynamics of COVID-19 and synchronous public health interventions in China |
title_fullStr | The time-varying transmission dynamics of COVID-19 and synchronous public health interventions in China |
title_full_unstemmed | The time-varying transmission dynamics of COVID-19 and synchronous public health interventions in China |
title_short | The time-varying transmission dynamics of COVID-19 and synchronous public health interventions in China |
title_sort | time-varying transmission dynamics of covid-19 and synchronous public health interventions in china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7836966/ https://www.ncbi.nlm.nih.gov/pubmed/33181330 http://dx.doi.org/10.1016/j.ijid.2020.11.005 |
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