Age-stratified discrete compartment model of the COVID-19 epidemic with application to Switzerland.

ABSTRACT: Compartmental models enable the analysis and prediction of an epidemic including the number of infected, hospitalized and deceased individuals in a population. They allow for computational case studies on non-pharmaceutical interventions thereby providing an important basis for policy makers. While research is ongoing on the transmission dynamics of the SARS-CoV-2 coronavirus, it is important to come up with epidemic models that can describe the main stages of the progression of the associated COVID-19 respiratory disease. We propose an age-stratified discrete compartment model as an alternative to differential equation based S-I-R type of models. The model captures the highly age-dependent progression of COVID-19 and is able to describe the day-by-day advancement of an infected individual

SUBMITTER: Balabdaoui F 

PROVIDER: S-EPMC7718912 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature