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Low-impact social distancing interventions to mitigate local epidemics of SARS-CoV-2

Many jurisdictions implemented intensive social distancing to suppress SARS-CoV-2 transmission. The challenge now is to mitigate the ongoing COVID-19 epidemic without overburdening economic and social activities. An agent-based model simulated the population of King County, Washington. SARS-CoV-2 tr...

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Autor principal: Jackson, Michael L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Institut Pasteur. Published by Elsevier Masson SAS. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7508051/
https://www.ncbi.nlm.nih.gov/pubmed/32977019
http://dx.doi.org/10.1016/j.micinf.2020.09.006
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author Jackson, Michael L.
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description Many jurisdictions implemented intensive social distancing to suppress SARS-CoV-2 transmission. The challenge now is to mitigate the ongoing COVID-19 epidemic without overburdening economic and social activities. An agent-based model simulated the population of King County, Washington. SARS-CoV-2 transmission probabilities were estimated by fitting simulated to observed hospital admissions. Interventions considered included encouraging telecommuting, reducing contacts to high-risk persons, and reductions to contacts outside of the home, among others. Removing all existing interventions would result in nearly 42,000 COVID-19 hospitalizations between June 2020 and January 2021, with peak hospital occupancy exceeding available beds 6-fold. Combining interventions is predicted to reduce total hospitalizations by 48% (95% CI, 47–49%), with peak COVID-19 hospital occupancy of 70% of total beds. Targeted school closures can further reduce the peak occupancy. Combining low-impact interventions may mitigate the course of the COVID-19 epidemic, keeping hospital burden within the capacity of the healthcare system.
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spelling pubmed-75080512020-09-23 Low-impact social distancing interventions to mitigate local epidemics of SARS-CoV-2 Jackson, Michael L. Microbes Infect Original Article Many jurisdictions implemented intensive social distancing to suppress SARS-CoV-2 transmission. The challenge now is to mitigate the ongoing COVID-19 epidemic without overburdening economic and social activities. An agent-based model simulated the population of King County, Washington. SARS-CoV-2 transmission probabilities were estimated by fitting simulated to observed hospital admissions. Interventions considered included encouraging telecommuting, reducing contacts to high-risk persons, and reductions to contacts outside of the home, among others. Removing all existing interventions would result in nearly 42,000 COVID-19 hospitalizations between June 2020 and January 2021, with peak hospital occupancy exceeding available beds 6-fold. Combining interventions is predicted to reduce total hospitalizations by 48% (95% CI, 47–49%), with peak COVID-19 hospital occupancy of 70% of total beds. Targeted school closures can further reduce the peak occupancy. Combining low-impact interventions may mitigate the course of the COVID-19 epidemic, keeping hospital burden within the capacity of the healthcare system. Institut Pasteur. Published by Elsevier Masson SAS. 2020 2020-09-22 /pmc/articles/PMC7508051/ /pubmed/32977019 http://dx.doi.org/10.1016/j.micinf.2020.09.006 Text en © 2020 Institut Pasteur. Published by Elsevier Masson SAS. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Original Article
Jackson, Michael L.
Low-impact social distancing interventions to mitigate local epidemics of SARS-CoV-2
title Low-impact social distancing interventions to mitigate local epidemics of SARS-CoV-2
title_full Low-impact social distancing interventions to mitigate local epidemics of SARS-CoV-2
title_fullStr Low-impact social distancing interventions to mitigate local epidemics of SARS-CoV-2
title_full_unstemmed Low-impact social distancing interventions to mitigate local epidemics of SARS-CoV-2
title_short Low-impact social distancing interventions to mitigate local epidemics of SARS-CoV-2
title_sort low-impact social distancing interventions to mitigate local epidemics of sars-cov-2
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7508051/
https://www.ncbi.nlm.nih.gov/pubmed/32977019
http://dx.doi.org/10.1016/j.micinf.2020.09.006
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