Using secondary cases to characterize the severity of an emerging or re-emerging infection

Estimates of the severity of emerging infections did not consider the case ascertainment method, but secondary cases identified by contact tracing of index cases may be more reliable as they are less susceptible to ascertainment bias. Here, the authors perform a systematic review to quantify these d...

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Autores principales:	Tim K. Tsang, Can Wang, Bingyi Yang, Simon Cauchemez, Benjamin J. Cowling
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/a3e117a8ad4a4f1c98f05281d8733edb
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spelling	oai:doaj.org-article:a3e117a8ad4a4f1c98f05281d8733edb2021-11-08T11:10:53ZUsing secondary cases to characterize the severity of an emerging or re-emerging infection10.1038/s41467-021-26709-72041-1723https://doaj.org/article/a3e117a8ad4a4f1c98f05281d8733edb2021-11-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-26709-7https://doaj.org/toc/2041-1723Estimates of the severity of emerging infections did not consider the case ascertainment method, but secondary cases identified by contact tracing of index cases may be more reliable as they are less susceptible to ascertainment bias. Here, the authors perform a systematic review to quantify these differences and model their impacts for COVID-19.Tim K. TsangCan WangBingyi YangSimon CauchemezBenjamin J. CowlingNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-13 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Tim K. Tsang Can Wang Bingyi Yang Simon Cauchemez Benjamin J. Cowling Using secondary cases to characterize the severity of an emerging or re-emerging infection
description	Estimates of the severity of emerging infections did not consider the case ascertainment method, but secondary cases identified by contact tracing of index cases may be more reliable as they are less susceptible to ascertainment bias. Here, the authors perform a systematic review to quantify these differences and model their impacts for COVID-19.
format	article
author	Tim K. Tsang Can Wang Bingyi Yang Simon Cauchemez Benjamin J. Cowling
author_facet	Tim K. Tsang Can Wang Bingyi Yang Simon Cauchemez Benjamin J. Cowling
author_sort	Tim K. Tsang
title	Using secondary cases to characterize the severity of an emerging or re-emerging infection
title_short	Using secondary cases to characterize the severity of an emerging or re-emerging infection
title_full	Using secondary cases to characterize the severity of an emerging or re-emerging infection
title_fullStr	Using secondary cases to characterize the severity of an emerging or re-emerging infection
title_full_unstemmed	Using secondary cases to characterize the severity of an emerging or re-emerging infection
title_sort	using secondary cases to characterize the severity of an emerging or re-emerging infection
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/a3e117a8ad4a4f1c98f05281d8733edb
work_keys_str_mv	AT timktsang usingsecondarycasestocharacterizetheseverityofanemergingorreemerginginfection AT canwang usingsecondarycasestocharacterizetheseverityofanemergingorreemerginginfection AT bingyiyang usingsecondarycasestocharacterizetheseverityofanemergingorreemerginginfection AT simoncauchemez usingsecondarycasestocharacterizetheseverityofanemergingorreemerginginfection AT benjaminjcowling usingsecondarycasestocharacterizetheseverityofanemergingorreemerginginfection
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Using secondary cases to characterize the severity of an emerging or re-emerging infection

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