ArticleBiometrics2022
Determination and estimation of optimal quarantine duration for infectious diseases with application to data analysis of COVID-19.
Article in Biometrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed, 6 citations in OpenAlex.
- SARS-CoV-2 Quarantine Mandated by Contact Tracing: Burden and Infection Rate Among Close Contacts in Zurich, Switzerland, 2020-2021.International journal of public health · 2024Article
- Determination and estimation of optimal quarantine duration for infectious diseases with application to data analysis of COVID-19.Biometrics · 2022Article
- Optimal surveillance mitigation of COVID'19 disease outbreak: Fractional order optimal control of compartment model.Results in physics · 2021Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Quarantine measure is a commonly used nonpharmaceutical intervention during the outbreak of infectious diseases. A key problem for implementing quarantine measure is to determine the duration of the quarantine. Different from the existing methods that determine a constant quarantine duration for everyone, we develop an individualized quarantine rule that suggests different quarantine durations for individuals with different characteristics. The proposed quarantine rule is optimal in the sense that it minimizes the average quarantine duration of uninfected people with the constraint that the probability of symptom presentation for infected people attains the given value closing to 1. The optimal solution for the quarantine duration is obtained and estimated by some statistical methods with application to analyzing COVID-19 data.
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