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Curbing the COVID-19 pandemic with facility-based isolation of mild cases: a mathematical modeling study.

Publication ,  Journal Article
Chen, S; Chen, Q; Yang, J; Lin, L; Li, L; Jiao, L; Geldsetzer, P; Wang, C; Wilder-Smith, A; Bärnighausen, T
Published in: J Travel Med
February 23, 2021

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.

Duke Scholars

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Published In

J Travel Med

DOI

EISSN

1708-8305

Publication Date

February 23, 2021

Volume

28

Issue

2

Location

England

Related Subject Headings

  • United States
  • Tropical Medicine
  • SARS-CoV-2
  • Patient Isolation
  • Patient Compliance
  • Pandemics
  • Models, Theoretical
  • Humans
  • COVID-19
  • 4202 Epidemiology
 

Citation

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ICMJE
MLA
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Chen, S., Chen, Q., Yang, J., Lin, L., Li, L., Jiao, L., … Bärnighausen, T. (2021). Curbing the COVID-19 pandemic with facility-based isolation of mild cases: a mathematical modeling study. J Travel Med, 28(2). https://doi.org/10.1093/jtm/taaa226
Chen, Simiao, Qiushi Chen, Juntao Yang, Lin Lin, Linye Li, Lirui Jiao, Pascal Geldsetzer, Chen Wang, Annelies Wilder-Smith, and Till Bärnighausen. “Curbing the COVID-19 pandemic with facility-based isolation of mild cases: a mathematical modeling study.J Travel Med 28, no. 2 (February 23, 2021). https://doi.org/10.1093/jtm/taaa226.
Chen S, Chen Q, Yang J, Lin L, Li L, Jiao L, et al. Curbing the COVID-19 pandemic with facility-based isolation of mild cases: a mathematical modeling study. J Travel Med. 2021 Feb 23;28(2).
Chen, Simiao, et al. “Curbing the COVID-19 pandemic with facility-based isolation of mild cases: a mathematical modeling study.J Travel Med, vol. 28, no. 2, Feb. 2021. Pubmed, doi:10.1093/jtm/taaa226.
Chen S, Chen Q, Yang J, Lin L, Li L, Jiao L, Geldsetzer P, Wang C, Wilder-Smith A, Bärnighausen T. Curbing the COVID-19 pandemic with facility-based isolation of mild cases: a mathematical modeling study. J Travel Med. 2021 Feb 23;28(2).
Journal cover image

Published In

J Travel Med

DOI

EISSN

1708-8305

Publication Date

February 23, 2021

Volume

28

Issue

2

Location

England

Related Subject Headings

  • United States
  • Tropical Medicine
  • SARS-CoV-2
  • Patient Isolation
  • Patient Compliance
  • Pandemics
  • Models, Theoretical
  • Humans
  • COVID-19
  • 4202 Epidemiology