Modeling serological testing to inform relaxation of social distancing for COVID-19 control

Serological testing remains a passive component of the current public health response to the COVID-19 pandemic. Using a mathematical model, the authors examine how testing for antibodies could have enabled policies in which seropositive individuals increased their relative levels of social interacti...

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Autores principales:	Alicia N. M. Kraay, Kristin N. Nelson, Conan Y. Zhao, David Demory, Joshua S. Weitz, Benjamin A. Lopman
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/8d30c9ca5a224ad8898138b4fdb7e8d0
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spelling	oai:doaj.org-article:8d30c9ca5a224ad8898138b4fdb7e8d02021-12-05T12:22:34ZModeling serological testing to inform relaxation of social distancing for COVID-19 control10.1038/s41467-021-26774-y2041-1723https://doaj.org/article/8d30c9ca5a224ad8898138b4fdb7e8d02021-12-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-26774-yhttps://doaj.org/toc/2041-1723Serological testing remains a passive component of the current public health response to the COVID-19 pandemic. Using a mathematical model, the authors examine how testing for antibodies could have enabled policies in which seropositive individuals increased their relative levels of social interaction while offsetting transmission risksAlicia N. M. KraayKristin N. NelsonConan Y. ZhaoDavid DemoryJoshua S. WeitzBenjamin A. LopmanNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Alicia N. M. Kraay Kristin N. Nelson Conan Y. Zhao David Demory Joshua S. Weitz Benjamin A. Lopman Modeling serological testing to inform relaxation of social distancing for COVID-19 control
description	Serological testing remains a passive component of the current public health response to the COVID-19 pandemic. Using a mathematical model, the authors examine how testing for antibodies could have enabled policies in which seropositive individuals increased their relative levels of social interaction while offsetting transmission risks
format	article
author	Alicia N. M. Kraay Kristin N. Nelson Conan Y. Zhao David Demory Joshua S. Weitz Benjamin A. Lopman
author_facet	Alicia N. M. Kraay Kristin N. Nelson Conan Y. Zhao David Demory Joshua S. Weitz Benjamin A. Lopman
author_sort	Alicia N. M. Kraay
title	Modeling serological testing to inform relaxation of social distancing for COVID-19 control
title_short	Modeling serological testing to inform relaxation of social distancing for COVID-19 control
title_full	Modeling serological testing to inform relaxation of social distancing for COVID-19 control
title_fullStr	Modeling serological testing to inform relaxation of social distancing for COVID-19 control
title_full_unstemmed	Modeling serological testing to inform relaxation of social distancing for COVID-19 control
title_sort	modeling serological testing to inform relaxation of social distancing for covid-19 control
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/8d30c9ca5a224ad8898138b4fdb7e8d0
work_keys_str_mv	AT alicianmkraay modelingserologicaltestingtoinformrelaxationofsocialdistancingforcovid19control AT kristinnnelson modelingserologicaltestingtoinformrelaxationofsocialdistancingforcovid19control AT conanyzhao modelingserologicaltestingtoinformrelaxationofsocialdistancingforcovid19control AT daviddemory modelingserologicaltestingtoinformrelaxationofsocialdistancingforcovid19control AT joshuasweitz modelingserologicaltestingtoinformrelaxationofsocialdistancingforcovid19control AT benjaminalopman modelingserologicaltestingtoinformrelaxationofsocialdistancingforcovid19control
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Modeling serological testing to inform relaxation of social distancing for COVID-19 control

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