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Mathematical Economic Epidemiology Models

Theoretical epidemiological modeling involves the study of dynamical systems describing the evolution of disease transmission, as well as the response of epidemiological variables to various policy interventions. These models typically lack elements of optimization and do not explicitly incorporate human incentives. The recent Covid-19 pandemic resulted in the need to combine epidemiological and economic modeling in order to evaluate the economic and public health tradeoffs resulting from various policies. This has created an expanding body of fruitful interaction between economists, epidemiologists, and applied mathemati­cians. We are seeking rigorous papers that would be of interest to all three fields. Example topics include the use of dynamic optimization in the optimal control of infectious disease, applications of mean-field games and network theory to economic and epidemiological interactions, and spatial epi-econ models. Submissions involving simulations and empirical investigations based on rigorous modeling are also welcome. All submitted papers will be subject to the standard ET refereeing process.

Authors are invited to submit through the Springer online system

Editors

Articles (16 in this collection)