Simulation and Analysis Methods for Stochastic Compartmental Epidemic Models

This article considers simulation and analysis of incidence data using stochastic compartmental models in well-mixed populations. Several simulation approaches are described and compared. Thereafter, we provide an overview of likelihood estimation for stochastic models. We apply one such method to a real-life outbreak data set and compare models assuming different kinds of stochasticity. We also give references for other publications where detailed information on this topic can be found.

Publication year:2021

Keywords:stochastic SIR model, stochasticity, simulation, estimation, epidemic modeling

BOF-keylabel:yes

IOF-keylabel:yes

BOF-publication weight:10

Authors from:Higher Education

Accessibility:Open