Formulating human risk response in epidemic models: exogenous vs endogenous approaches
arxiv(2024)
摘要
The recent pandemic emphasized the need to consider the role of human
behavior in shaping epidemic dynamics. In particular, it is necessary to extend
beyond the classical epidemiological structures to fully capture the interplay
between the spread of disease and how people respond. Here, we focus on the
challenge of incorporating change in human behavior in the form of "risk
response" into compartmental epidemiological models, where humans adapt their
actions in response to their perceived risk of becoming infected. The review
examines over 40 compartmental models, categorizing them into two fundamentally
distinct classes: exogenous and endogenous approaches to modeling risk
response. While in exogenous approaches, human behavior is often included using
different fixed parameter values for certain time periods, endogenous
approaches seek for a mechanism internal to the model to explain changes in
human behavior as a function of the state of disease. We further discuss two
different formulations within endogenous models as implicit versus explicit
representation of information diffusion. This comprehensive analysis provides
modelers with guidance in selecting an appropriate framework for epidemic
modeling.
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