Trade-off Between Quarantine Length and Compliance to Optimize COVID-19 Control

被引:0
|
作者
Zou, Kaiyue [1 ]
Hayashi, Michael [2 ]
Simon, Sophia [3 ]
Eisenberg, Joseph N. S. [2 ,4 ]
机构
[1] Johns Hopkins Univ, Dept Epidemiol, Baltimore, MD USA
[2] Univ Michigan, Dept Epidemiol, Ann Arbor, MI USA
[3] Univ Calif Davis, Dept Environm Sci & Policy, Davis, CA USA
[4] Univ Michigan, Dept Epidemiol, 1415 Washington Hts, Ann Arbor, MI 48103 USA
关键词
compliance; COVID-19; mathematical model; SARS-COV-2;
D O I
10.1097/EDE.0000000000001619
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background:Guidance on COVID-19 quarantine duration is often based on the maximum observed incubation periods assuming perfect compliance. However, the impact of longer quarantines may be subject to diminishing returns; the largest benefits of quarantine occur over the first few days. Additionally, the financial and psychological burdens of quarantine may motivate increases in noncompliance behavior. Methods:We use a deterministic transmission model to identify the optimal length of quarantine to minimize transmission. We modeled the relation between noncompliance behavior and disease risk using a time-varying function of leaving quarantine based on studies from the literature. Results:The first few days in quarantine were more crucial to control the spread of COVID-19; even when compliance is high, a 10-day quarantine was as effective in lowering transmission as a 14-day quarantine; under certain noncompliance scenarios a 5-day quarantine may become nearly protective as 14-day quarantine. Conclusion:Data to characterize compliance dynamics will help select optimal quarantine strategies that balance the trade-offs between social forces governing behavior and transmission dynamics.
引用
收藏
页码:589 / 600
页数:12
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