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

Author:

Chen Simiao12,Chen Qiushi3,Yang Juntao4,Lin Lin5,Li Linye6,Jiao Lirui7,Geldsetzer Pascal18,Wang Chen2910,Wilder-Smith Annelies111,Bärnighausen Till12

Affiliation:

1. Heidelberg Institute of Global Health, Faculty of Medicine and University Hospital, Heidelberg University, Heidelberg, Germany, 69120

2. Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China, 100730

3. The Harold and Inge Marcus Department of Industrial and Manufacturing Engineering, The Pennsylvania State University, University Park, PA, USA, 16802

4. State Key Laboratory of Medical Molecular Biology, Department of Biochemistry and Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China, 100005

5. Department of Statistics, The Pennsylvania State University, University Park, PA, USA, 16802

6. Chinese Academy of Social Sciences, Beijing, China, 100732

7. Reed College, Portland, OR, USA, 97202

8. Division of Primary Care and Population Health, Department of Medicine, Stanford University, Stanford, CA, USA, 94305

9. National Center for Respiratory Medicine, Beijing, China, 100029

10. Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China–Japan Friendship Hospital, Beijing, China, 100029

11. Department of Disease Control, London School of Hygiene and Tropical Medicine, United Kingdom, WC1E 7HT

Abstract

Abstract 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.

Funder

National Institutes of Health

Federal Ministry of Education and Research

Alexander von Humboldt Foundation

European and Developing Countries Clinical Trials Partnership

Horizon 2020

Bill and Melinda Gates Foundation

Sino-German Center for Research Promotion

German Research Foundation

National Natural Science Foundation of China

Publisher

Oxford University Press (OUP)

Subject

General Medicine

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