Cargando…
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...
Autor principal: | |
---|---|
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 |
_version_ | 1783585351312343040 |
---|---|
author | Jackson, Michael L. |
author_facet | Jackson, Michael L. |
author_sort | Jackson, Michael L. |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-7508051 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Institut Pasteur. Published by Elsevier Masson SAS. |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT jacksonmichaell lowimpactsocialdistancinginterventionstomitigatelocalepidemicsofsarscov2 |