The relationship between compartment models and their stochastic counterparts: A comparative study with examples of the COVID-19 epidemic modeling.

ABSTRACT: Deterministic compartment models (CMs) and stochastic models, including stochastic CMs and agent-based models, are widely utilized in epidemic modeling. However, the relationship between CMs and their corresponding stochastic models is not well understood. The present study aimed to address this gap by conducting a comparative study using the susceptible, exposed, infectious, and recovered (SEIR) model and its extended CMs from the coronavirus disease 2019 modeling literature. We demonstrated the equivalence of the numerical solution of CMs using the Euler scheme and their stochastic counterparts through theoretical analysis and simulations. Based on this equivalence, we proposed an efficient model calibration method that could replicate the exact solution of CMs in the corresponding stoch

SUBMITTER: Zhao Z 

PROVIDER: S-EPMC11001592 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature