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ABSTRACT: Background
The coronavirus disease 2019 (COVID-19) epidemic, considered as the worst global public health event in nearly a century, has severely affected more than 200 countries and regions around the world. To effectively prevent and control the epidemic, researchers have widely employed dynamic models to predict and simulate the epidemic's development, understand the spread rule, evaluate the effects of intervention measures, inform vaccination strategies, and assist in the formulation of prevention and control measures. In this review, we aimed to sort out the compartmental structures used in COVID-19 dynamic models and provide reference for the dynamic modeling for COVID-19 and other infectious diseases in the future.Main text
A scoping review on the compartmental stru
SUBMITTER: Kong L
PROVIDER: S-EPMC9209832 | biostudies-literature | 2022 Jun
REPOSITORIES: biostudies-literature