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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2020
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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. |
format | Online Article Text |
id | pubmed-7302302 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
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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