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

Medicine and Health

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

A. N. M. Kraay, K. N. Nelson, et al.

Discover how serological testing could have transformed social interactions during the pandemic, potentially saving thousands of lives. This research by Alicia N M Kraay, Kristin N Nelson, Conan Y Zhao, David Demory, Joshua S Weitz, and Benjamin A Lopman highlights the critical role of testing in managing transmission risks amid emerging variants.

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Playback language: English
Abstract
This study uses a transmission model to examine how serological testing could have enabled seropositive individuals to increase social interaction while mitigating transmission risks. Simulations in New York City, South Florida, and Washington Puget Sound suggest widespread serological testing starting in late 2020 could have averted thousands of deaths by June 2021. The findings highlight the potential benefits of widespread serological testing, particularly relevant given the emergence of new variants.
Publisher
Nature Communications
Published On
Oct 26, 2021
Authors
Alicia N M Kraay, Kristin N Nelson, Conan Y Zhao, David Demory, Joshua S Weitz, Benjamin A Lopman
Tags
serological testing
social interaction
transmission risks
public health
COVID-19

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