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Curbing the COVID-19 pandemic with facility-based isolation of mild cases: a mathematical modeling study
BACKGROUND: In many countries, patients with mild coronavirus disease 2019 (COVID-19) are told to self-isolate at home, but imperfect compliance and shared living space with uninfected people limit the effectiveness of home-based isolation. We examine the impact of facility-based isolation compared...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7799023/ https://www.ncbi.nlm.nih.gov/pubmed/33274387 http://dx.doi.org/10.1093/jtm/taaa226 |
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author | Chen, Simiao Chen, Qiushi Yang, Juntao Lin, Lin Li, Linye Jiao, Lirui Geldsetzer, Pascal Wang, Chen Wilder-Smith, Annelies Bärnighausen, Till |
author_facet | Chen, Simiao Chen, Qiushi Yang, Juntao Lin, Lin Li, Linye Jiao, Lirui Geldsetzer, Pascal Wang, Chen Wilder-Smith, Annelies Bärnighausen, Till |
author_sort | Chen, Simiao |
collection | PubMed |
description | BACKGROUND: In many countries, patients with mild coronavirus disease 2019 (COVID-19) are told to self-isolate at home, but imperfect compliance and shared living space with uninfected people limit the effectiveness of home-based isolation. We examine the impact of facility-based isolation compared to self-isolation at home on the continuing epidemic in the USA. METHODS: We developed a compartment model to simulate the dynamic transmission of COVID-19 and calibrated it to key epidemic measures in the USA from March to September 2020. We simulated facility-based isolation strategies with various capacities and starting times under different diagnosis rates. Our primary model outcomes are new infections and deaths over 2 months from October 2020 onwards. In addition to national-level estimations, we explored the effects of facility-based isolation under different epidemic burdens in major US Census Regions. We performed sensitivity analyses by varying key model assumptions and parameters. RESULTS: We find that facility-based isolation with moderate capacity of 5 beds per 10 000 total population could avert 4.17 (95% credible interval 1.65–7.11) million new infections and 16 000 (8000–23 000) deaths in 2 months compared with home-based isolation. These results are equivalent to relative reductions of 57% (44–61%) in new infections and 37% (27–40%) in deaths. Facility-based isolation with high capacity of 10 beds per 10 000 population could achieve reductions of 76% (62–84%) in new infections and 52% (37–64%) in deaths when supported by expanded testing with an additional 20% daily diagnosis rate. Delays in implementation would substantially reduce the impact of facility-based isolation. The effective capacity and the impact of facility-based isolation varied by epidemic stage across regions. CONCLUSION: Timely facility-based isolation for mild COVID-19 cases could substantially reduce the number of new infections and effectively curb the continuing epidemic in the USA. Local epidemic burdens should determine the scale of facility-based isolation strategies. |
format | Online Article Text |
id | pubmed-7799023 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-77990232021-01-25 Curbing the COVID-19 pandemic with facility-based isolation of mild cases: a mathematical modeling study Chen, Simiao Chen, Qiushi Yang, Juntao Lin, Lin Li, Linye Jiao, Lirui Geldsetzer, Pascal Wang, Chen Wilder-Smith, Annelies Bärnighausen, Till J Travel Med Original Article BACKGROUND: In many countries, patients with mild coronavirus disease 2019 (COVID-19) are told to self-isolate at home, but imperfect compliance and shared living space with uninfected people limit the effectiveness of home-based isolation. We examine the impact of facility-based isolation compared to self-isolation at home on the continuing epidemic in the USA. METHODS: We developed a compartment model to simulate the dynamic transmission of COVID-19 and calibrated it to key epidemic measures in the USA from March to September 2020. We simulated facility-based isolation strategies with various capacities and starting times under different diagnosis rates. Our primary model outcomes are new infections and deaths over 2 months from October 2020 onwards. In addition to national-level estimations, we explored the effects of facility-based isolation under different epidemic burdens in major US Census Regions. We performed sensitivity analyses by varying key model assumptions and parameters. RESULTS: We find that facility-based isolation with moderate capacity of 5 beds per 10 000 total population could avert 4.17 (95% credible interval 1.65–7.11) million new infections and 16 000 (8000–23 000) deaths in 2 months compared with home-based isolation. These results are equivalent to relative reductions of 57% (44–61%) in new infections and 37% (27–40%) in deaths. Facility-based isolation with high capacity of 10 beds per 10 000 population could achieve reductions of 76% (62–84%) in new infections and 52% (37–64%) in deaths when supported by expanded testing with an additional 20% daily diagnosis rate. Delays in implementation would substantially reduce the impact of facility-based isolation. The effective capacity and the impact of facility-based isolation varied by epidemic stage across regions. CONCLUSION: Timely facility-based isolation for mild COVID-19 cases could substantially reduce the number of new infections and effectively curb the continuing epidemic in the USA. Local epidemic burdens should determine the scale of facility-based isolation strategies. Oxford University Press 2020-12-03 /pmc/articles/PMC7799023/ /pubmed/33274387 http://dx.doi.org/10.1093/jtm/taaa226 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of International Society of Travel Medicine. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_modelThis article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model) |
spellingShingle | Original Article Chen, Simiao Chen, Qiushi Yang, Juntao Lin, Lin Li, Linye Jiao, Lirui Geldsetzer, Pascal Wang, Chen Wilder-Smith, Annelies Bärnighausen, Till Curbing the COVID-19 pandemic with facility-based isolation of mild cases: a mathematical modeling study |
title | Curbing the COVID-19 pandemic with facility-based isolation of mild cases: a mathematical modeling study |
title_full | Curbing the COVID-19 pandemic with facility-based isolation of mild cases: a mathematical modeling study |
title_fullStr | Curbing the COVID-19 pandemic with facility-based isolation of mild cases: a mathematical modeling study |
title_full_unstemmed | Curbing the COVID-19 pandemic with facility-based isolation of mild cases: a mathematical modeling study |
title_short | Curbing the COVID-19 pandemic with facility-based isolation of mild cases: a mathematical modeling study |
title_sort | curbing the covid-19 pandemic with facility-based isolation of mild cases: a mathematical modeling study |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7799023/ https://www.ncbi.nlm.nih.gov/pubmed/33274387 http://dx.doi.org/10.1093/jtm/taaa226 |
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