Work

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

Year: 2020

Type: article

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.

Source: Mathematics

DOI: 10.3390/math8091631

Authors: Daewoo Pak, Klaus Langohr, Jing Ning, Jordi Cortés Martínez, Guadalupe Gómez Melis, Yu Shen

Institutions: Yonsei University, Universitat Politècnica de Catalunya, The University of Texas MD Anderson Cancer Center

Language: English

Topic: COVID-19 epidemiological studies

Subfield: Modeling and Simulation

Field: Mathematics

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $1,267