Evolution of disease in a large population is a function of the top-down policy measures from a centralized planner, as well as the self-interested decisions (to be socially active) of individual agents in a large heterogeneous population. This paper is concerned with understanding the latter based on a mean-field type optimal control model. Specifically, the model is used to investigate the role of partial information on an agent's decision-making, and study the impact of such decisions by a large number of agents on the spread of the virus in the population. The motivation comes from the presymptomatic and asymptomatic spread of the COVID-19 virus where an agent unwittingly spreads the virus. We show that even in a setting with fully rational agents, limited information on the viral state can result in an epidemic growth.
@article{arxiv.2206.02222,
title = {How does a Rational Agent Act in an Epidemic?},
author = {S. Yagiz Olmez and Shubham Aggarwal and Jin Won Kim and Erik Miehling and Tamer Başar and Matthew West and Prashant G. Mehta},
journal= {arXiv preprint arXiv:2206.02222},
year = {2022}
}
Comments
arXiv admin note: text overlap with arXiv:2111.10422