Mathematical models have been used to study various disease transmission dynamics and control for epidemics. Many of these studies are based on SEIR- types of compartmental models with exponentially distributed stage durations. We examine the underlying assumptions made in some of these model and present examples to illustrate the potential issues associated with these assumptions in terms of model evaluations of control and intervention strategies.
Mathematical models of infectious diseases — Consequences of underlying assumptions.*
Zhilan Feng, Purdue University
2022 AWM Research Symposium
Adaptive Mitigation and Intervention Strategies of Emerging Infectious Diseases, Modeling, Outcomes and Learning for the Future