Prediction of the incubation period for COVID-19 and future virus disease outbreaks.

ABSTRACT:

Background

A crucial factor in mitigating respiratory viral outbreaks is early determination of the duration of the incubation period and, accordingly, the required quarantine time for potentially exposed individuals. At the time of the COVID-19 pandemic, optimization of quarantine regimes becomes paramount for public health, societal well-being, and global economy. However, biological factors that determine the duration of the virus incubation period remain poorly understood.

Results

We demonstrate a strong positive correlation between the length of the incubation period and disease severity for a wide range of human pathogenic viruses. Using a machine learning approach, we develop a predictive model that accurately estimates, solely from several virus genome features, in p

SUBMITTER: Gussow AB 

PROVIDER: S-EPMC7703724 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature