Modeling the Coronavirus Disease 2019 Incubation Period: Impact on Quarantine Policy

Autor:	Daewoo Pak, Klaus Langohr, Jing Ning, Jordi Cortés Martínez, Guadalupe Gómez Melis, Yu Shen
Jazyk:	angličtina
Rok vydání:	2020
Předmět:	COVID-19 generalized odds-rate class of models incubation period infectious disease interval censoring left censoring Mathematics QA1-939
Zdroj:	Mathematics, Vol 8, Iss 9, p 1631 (2020)
Druh dokumentu:	article
ISSN:	2227-7390
DOI:	10.3390/math8091631
Popis:	The incubation period of coronavirus disease 2019 (COVID-19) is not always observed exactly due to uncertain onset times of infection and disease symptoms. In this paper, we demonstrate how to estimate the distribution of incubation and its association with patient demographic factors when the exact dates of infection and symptoms’ onset may not be observed. The findings from analysis of the confirmed COVID-19 cases indicate that age could be associated with the incubation period, and an age-specific quarantine policy might be more efficient than a unified one in confining COVID-19.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/cf0f863212094ddaa4f8b94918c7be6f Zobrazit plný text záznamu View record in DOAJ Plný text ve formátu PDF Plný text ve formátu HTML
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