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Meta-analysis of several epidemic characteristics of COVID-19

As the COVID-19 pandemic has strongly disrupted people’s daily work and life, a great amount of scientific research has been conducted to understand the key characteristics of this new epidemic. In this manuscript, we focus on four crucial epidemic metrics with regard to the COVID-19, namely the bas...

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Detalles Bibliográficos
Autores principales: Zhang, Panpan, Wang, Tiandong, Xie, Sharon X.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7302302/
https://www.ncbi.nlm.nih.gov/pubmed/32577693
http://dx.doi.org/10.1101/2020.05.31.20118448
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author Zhang, Panpan
Wang, Tiandong
Xie, Sharon X.
author_facet Zhang, Panpan
Wang, Tiandong
Xie, Sharon X.
author_sort Zhang, Panpan
collection PubMed
description As the COVID-19 pandemic has strongly disrupted people’s daily work and life, a great amount of scientific research has been conducted to understand the key characteristics of this new epidemic. In this manuscript, we focus on four crucial epidemic metrics with regard to the COVID-19, namely the basic reproduction number, the incubation period, the serial interval and the epidemic doubling time. We collect relevant studies based on the COVID-19 data in China and conduct a meta-analysis to obtain pooled estimates on the four metrics. From the summary results, we conclude that the COVID-19 has stronger transmissibility than SARS, implying that stringent public health strategies are necessary.
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spelling pubmed-73023022020-06-23 Meta-analysis of several epidemic characteristics of COVID-19 Zhang, Panpan Wang, Tiandong Xie, Sharon X. medRxiv Article As the COVID-19 pandemic has strongly disrupted people’s daily work and life, a great amount of scientific research has been conducted to understand the key characteristics of this new epidemic. In this manuscript, we focus on four crucial epidemic metrics with regard to the COVID-19, namely the basic reproduction number, the incubation period, the serial interval and the epidemic doubling time. We collect relevant studies based on the COVID-19 data in China and conduct a meta-analysis to obtain pooled estimates on the four metrics. From the summary results, we conclude that the COVID-19 has stronger transmissibility than SARS, implying that stringent public health strategies are necessary. Cold Spring Harbor Laboratory 2020-06-03 /pmc/articles/PMC7302302/ /pubmed/32577693 http://dx.doi.org/10.1101/2020.05.31.20118448 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/It is made available under a CC-BY-NC-ND 4.0 International license (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Article
Zhang, Panpan
Wang, Tiandong
Xie, Sharon X.
Meta-analysis of several epidemic characteristics of COVID-19
title Meta-analysis of several epidemic characteristics of COVID-19
title_full Meta-analysis of several epidemic characteristics of COVID-19
title_fullStr Meta-analysis of several epidemic characteristics of COVID-19
title_full_unstemmed Meta-analysis of several epidemic characteristics of COVID-19
title_short Meta-analysis of several epidemic characteristics of COVID-19
title_sort meta-analysis of several epidemic characteristics of covid-19
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7302302/
https://www.ncbi.nlm.nih.gov/pubmed/32577693
http://dx.doi.org/10.1101/2020.05.31.20118448
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