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Evaluating the effect of Chinese control measures on COVID-19 via temporal reproduction number estimation

Control measures are necessary to contain the spread of serious infectious diseases such as COVID-19, especially in its early stage. We propose to use temporal reproduction number an extension of effective reproduction number, to evaluate the efficacy of control measures, and establish a Monte-Carlo...

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Detalles Bibliográficos
Autores principales: Chen, Duanbing, Zhou, Tao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7877593/
https://www.ncbi.nlm.nih.gov/pubmed/33571273
http://dx.doi.org/10.1371/journal.pone.0246715
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author Chen, Duanbing
Zhou, Tao
author_facet Chen, Duanbing
Zhou, Tao
author_sort Chen, Duanbing
collection PubMed
description Control measures are necessary to contain the spread of serious infectious diseases such as COVID-19, especially in its early stage. We propose to use temporal reproduction number an extension of effective reproduction number, to evaluate the efficacy of control measures, and establish a Monte-Carlo method to estimate the temporal reproduction number without complete information about symptom onsets. The province-level analysis indicates that the effective reproduction numbers of the majority of provinces in mainland China got down to < 1 just by one week from the setting of control measures, and the temporal reproduction number of the week [15 Feb, 21 Feb] is only about 0.18. It is therefore likely that Chinese control measures on COVID-19 are effective and efficient, though more research needs to be performed.
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spelling pubmed-78775932021-02-19 Evaluating the effect of Chinese control measures on COVID-19 via temporal reproduction number estimation Chen, Duanbing Zhou, Tao PLoS One Research Article Control measures are necessary to contain the spread of serious infectious diseases such as COVID-19, especially in its early stage. We propose to use temporal reproduction number an extension of effective reproduction number, to evaluate the efficacy of control measures, and establish a Monte-Carlo method to estimate the temporal reproduction number without complete information about symptom onsets. The province-level analysis indicates that the effective reproduction numbers of the majority of provinces in mainland China got down to < 1 just by one week from the setting of control measures, and the temporal reproduction number of the week [15 Feb, 21 Feb] is only about 0.18. It is therefore likely that Chinese control measures on COVID-19 are effective and efficient, though more research needs to be performed. Public Library of Science 2021-02-11 /pmc/articles/PMC7877593/ /pubmed/33571273 http://dx.doi.org/10.1371/journal.pone.0246715 Text en © 2021 Chen, Zhou http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Chen, Duanbing
Zhou, Tao
Evaluating the effect of Chinese control measures on COVID-19 via temporal reproduction number estimation
title Evaluating the effect of Chinese control measures on COVID-19 via temporal reproduction number estimation
title_full Evaluating the effect of Chinese control measures on COVID-19 via temporal reproduction number estimation
title_fullStr Evaluating the effect of Chinese control measures on COVID-19 via temporal reproduction number estimation
title_full_unstemmed Evaluating the effect of Chinese control measures on COVID-19 via temporal reproduction number estimation
title_short Evaluating the effect of Chinese control measures on COVID-19 via temporal reproduction number estimation
title_sort evaluating the effect of chinese control measures on covid-19 via temporal reproduction number estimation
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7877593/
https://www.ncbi.nlm.nih.gov/pubmed/33571273
http://dx.doi.org/10.1371/journal.pone.0246715
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