Estimation of the secondary attack rate of COVID-19 using proportional meta-analysis of nationwide contact tracing data in Taiwan

Crude secondary attack rate (SAR) of COVID-19 in Taiwan was 0.84% using nationwide contact-tracing data till April 8, 2020. The random-effect Bayesian metaanalysis yielded 95% credible intervals of 0.42%–1.69% and 0.08%–8.32%, respectively, for estimated SAR pooling from 15 case series and for predi...

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Autores principales: Huang, Yen-Ta, Tu, Yu-Kang, Lai, Pei-Chun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taiwan Society of Microbiology. Published by Elsevier Taiwan LLC. 2021
Materias:
Short Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7289119/
https://www.ncbi.nlm.nih.gov/pubmed/32553448
http://dx.doi.org/10.1016/j.jmii.2020.06.003
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author Huang, Yen-Ta
Tu, Yu-Kang
Lai, Pei-Chun
author_facet Huang, Yen-Ta
Tu, Yu-Kang
Lai, Pei-Chun
author_sort Huang, Yen-Ta
collection PubMed
description Crude secondary attack rate (SAR) of COVID-19 in Taiwan was 0.84% using nationwide contact-tracing data till April 8, 2020. The random-effect Bayesian metaanalysis yielded 95% credible intervals of 0.42%–1.69% and 0.08%–8.32%, respectively, for estimated SAR pooling from 15 case series and for predicted SAR in the future if pandemic continues.
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spelling pubmed-72891192020-06-12 Estimation of the secondary attack rate of COVID-19 using proportional meta-analysis of nationwide contact tracing data in Taiwan Huang, Yen-Ta Tu, Yu-Kang Lai, Pei-Chun J Microbiol Immunol Infect Short Communication Crude secondary attack rate (SAR) of COVID-19 in Taiwan was 0.84% using nationwide contact-tracing data till April 8, 2020. The random-effect Bayesian metaanalysis yielded 95% credible intervals of 0.42%–1.69% and 0.08%–8.32%, respectively, for estimated SAR pooling from 15 case series and for predicted SAR in the future if pandemic continues. Taiwan Society of Microbiology. Published by Elsevier Taiwan LLC. 2021-02 2020-06-11 /pmc/articles/PMC7289119/ /pubmed/32553448 http://dx.doi.org/10.1016/j.jmii.2020.06.003 Text en © 2020 Taiwan Society of Microbiology. Published by Elsevier Taiwan LLC. 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 Short Communication
Huang, Yen-Ta
Tu, Yu-Kang
Lai, Pei-Chun
Estimation of the secondary attack rate of COVID-19 using proportional meta-analysis of nationwide contact tracing data in Taiwan
title Estimation of the secondary attack rate of COVID-19 using proportional meta-analysis of nationwide contact tracing data in Taiwan
title_full Estimation of the secondary attack rate of COVID-19 using proportional meta-analysis of nationwide contact tracing data in Taiwan
title_fullStr Estimation of the secondary attack rate of COVID-19 using proportional meta-analysis of nationwide contact tracing data in Taiwan
title_full_unstemmed Estimation of the secondary attack rate of COVID-19 using proportional meta-analysis of nationwide contact tracing data in Taiwan
title_short Estimation of the secondary attack rate of COVID-19 using proportional meta-analysis of nationwide contact tracing data in Taiwan
title_sort estimation of the secondary attack rate of covid-19 using proportional meta-analysis of nationwide contact tracing data in taiwan
topic Short Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7289119/
https://www.ncbi.nlm.nih.gov/pubmed/32553448
http://dx.doi.org/10.1016/j.jmii.2020.06.003
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