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Trade-off Between Quarantine Length and Compliance to Optimize COVID-19 Control.
Zou, Kaiyue; Hayashi, Michael; Simon, Sophia; Eisenberg, Joseph N S.
  • Zou K; From the Department of Epidemiology, Johns Hopkins University, Baltimore, MD.
  • Hayashi M; Department of Epidemiology, University of Michigan, Ann Arbor, MI.
  • Simon S; Department of Environmental Science and Policy, University of California, Davis, Davis, CA.
  • Eisenberg JNS; Department of Epidemiology, University of Michigan, Ann Arbor, MI.
Epidemiology ; 34(4): 589-600, 2023 07 01.
Artigo em Inglês | MEDLINE | ID: covidwho-20245451
ABSTRACT

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.
Assuntos

Texto completo: Disponível Coleções: Bases de dados internacionais Base de dados: MEDLINE Assunto principal: Quarentena / COVID-19 Tipo de estudo: Estudo prognóstico / Pesquisa qualitativa Limite: Humanos Idioma: Inglês Revista: Epidemiology Assunto da revista: Epidemiologia Ano de publicação: 2023 Tipo de documento: Artigo País de afiliação: EDE.0000000000001619

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Texto completo: Disponível Coleções: Bases de dados internacionais Base de dados: MEDLINE Assunto principal: Quarentena / COVID-19 Tipo de estudo: Estudo prognóstico / Pesquisa qualitativa Limite: Humanos Idioma: Inglês Revista: Epidemiology Assunto da revista: Epidemiologia Ano de publicação: 2023 Tipo de documento: Artigo País de afiliação: EDE.0000000000001619