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Modeling serological testing to inform relaxation of social distancing for COVID-19 control
by
Nelson, Kristin N.
, Demory, David
, Lopman, Benjamin A.
, Kraay, Alicia N. M.
, Zhao, Conan Y.
, Weitz, Joshua S.
in
631/477/2811
/ 692/699
/ 692/699/255/2514
/ Antibodies
/ Computer Simulation
/ Coronaviruses
/ COVID-19
/ COVID-19 - diagnosis
/ COVID-19 - mortality
/ COVID-19 - transmission
/ COVID-19 - virology
/ COVID-19 Serological Testing - statistics & numerical data
/ Disease control
/ Disease transmission
/ Epidemiological Models
/ Fatalities
/ Florida - epidemiology
/ Humanities and Social Sciences
/ Humans
/ Mathematical models
/ multidisciplinary
/ New York City - epidemiology
/ Pandemics
/ Pandemics - prevention & control
/ Pandemics - statistics & numerical data
/ Passive components
/ Physical Distancing
/ Public health
/ Science
/ Science (multidisciplinary)
/ Serology
/ Social behavior
/ Social factors
/ Social interaction
/ Washington - epidemiology
2021
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Modeling serological testing to inform relaxation of social distancing for COVID-19 control
by
Nelson, Kristin N.
, Demory, David
, Lopman, Benjamin A.
, Kraay, Alicia N. M.
, Zhao, Conan Y.
, Weitz, Joshua S.
in
631/477/2811
/ 692/699
/ 692/699/255/2514
/ Antibodies
/ Computer Simulation
/ Coronaviruses
/ COVID-19
/ COVID-19 - diagnosis
/ COVID-19 - mortality
/ COVID-19 - transmission
/ COVID-19 - virology
/ COVID-19 Serological Testing - statistics & numerical data
/ Disease control
/ Disease transmission
/ Epidemiological Models
/ Fatalities
/ Florida - epidemiology
/ Humanities and Social Sciences
/ Humans
/ Mathematical models
/ multidisciplinary
/ New York City - epidemiology
/ Pandemics
/ Pandemics - prevention & control
/ Pandemics - statistics & numerical data
/ Passive components
/ Physical Distancing
/ Public health
/ Science
/ Science (multidisciplinary)
/ Serology
/ Social behavior
/ Social factors
/ Social interaction
/ Washington - epidemiology
2021
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Modeling serological testing to inform relaxation of social distancing for COVID-19 control
by
Nelson, Kristin N.
, Demory, David
, Lopman, Benjamin A.
, Kraay, Alicia N. M.
, Zhao, Conan Y.
, Weitz, Joshua S.
in
631/477/2811
/ 692/699
/ 692/699/255/2514
/ Antibodies
/ Computer Simulation
/ Coronaviruses
/ COVID-19
/ COVID-19 - diagnosis
/ COVID-19 - mortality
/ COVID-19 - transmission
/ COVID-19 - virology
/ COVID-19 Serological Testing - statistics & numerical data
/ Disease control
/ Disease transmission
/ Epidemiological Models
/ Fatalities
/ Florida - epidemiology
/ Humanities and Social Sciences
/ Humans
/ Mathematical models
/ multidisciplinary
/ New York City - epidemiology
/ Pandemics
/ Pandemics - prevention & control
/ Pandemics - statistics & numerical data
/ Passive components
/ Physical Distancing
/ Public health
/ Science
/ Science (multidisciplinary)
/ Serology
/ Social behavior
/ Social factors
/ Social interaction
/ Washington - epidemiology
2021
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Modeling serological testing to inform relaxation of social distancing for COVID-19 control
Journal Article
Modeling serological testing to inform relaxation of social distancing for COVID-19 control
2021
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Overview
Serological testing remains a passive component of the public health response to the COVID-19 pandemic. Using a transmission model, we examine how serological testing could have enabled seropositive individuals to increase their relative levels of social interaction while offsetting transmission risks. We simulate widespread serological testing in New York City, South Florida, and Washington Puget Sound and assume seropositive individuals partially restore their social contacts. Compared to no intervention, our model suggests that widespread serological testing starting in late 2020 would have averted approximately 3300 deaths in New York City, 1400 deaths in South Florida and 11,000 deaths in Washington State by June 2021. In all sites, serological testing blunted subsequent waves of transmission. Findings demonstrate the potential benefit of widespread serological testing, had it been implemented in the pre-vaccine era, and remain relevant now amid the potential for emergence of new variants.
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
Publisher
Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio
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