How does a Rational Agent Act in an Epidemic?
61st IEEE Conference on Decision and Control, CDC 2022
; 2022-December:5536-5543, 2022.
Article
in English
| Scopus | ID: covidwho-2233975
ABSTRACT
The evolution of a disease in a large population is a function of the top-down policy measures from a centralized planner and 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 epidemic growth. © 2022 IEEE.
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Database:
Scopus
Language:
English
Journal:
61st IEEE Conference on Decision and Control, CDC 2022
Year:
2022
Document Type:
Article
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