Modeling the Coronavirus Disease 2019 Incubation Period: Impact on Quarantine Policy
Pak, Daewoo; Langohr, Klaus; Ning, Jing; Martinez, Jordi Cortes; Melis, Guadalupe Gomez; Shen, YU
MATHEMATICS
2020
VL / 8 - BP / - EP /
abstract
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.
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