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Modeling serological testing to inform relaxation of social distancing for COVID-19 control.
Kraay, Alicia N M; Nelson, Kristin N; Zhao, Conan Y; Demory, David; Weitz, Joshua S; Lopman, Benjamin A.
Afiliação
  • Kraay ANM; Rollins School of Public Health, Emory University, Atlanta, GA, USA. amullis@emory.edu.
  • Nelson KN; Rollins School of Public Health, Emory University, Atlanta, GA, USA.
  • Zhao CY; School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, USA.
  • Demory D; Interdisciplinary Graduate Program in Quantitative Biosciences, Georgia Institute of Technology, Atlanta, GA, USA.
  • Weitz JS; School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, USA.
  • Lopman BA; School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, USA.
Nat Commun ; 12(1): 7063, 2021 12 03.
Article em En | MEDLINE | ID: mdl-34862373
ABSTRACT
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.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Pandemias / Distanciamento Físico / Teste Sorológico para COVID-19 / COVID-19 / Modelos Epidemiológicos Tipo de estudo: Prognostic_studies Limite: Humans País como assunto: America do norte Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Pandemias / Distanciamento Físico / Teste Sorológico para COVID-19 / COVID-19 / Modelos Epidemiológicos Tipo de estudo: Prognostic_studies Limite: Humans País como assunto: America do norte Idioma: En Ano de publicação: 2021 Tipo de documento: Article