Individual Altruism Cannot Overcome Congestion Effects in a Global Pandemic Game
Philip N. Brown, Brandon Collins, Colton Hill, Gia Barboza, and Lisa, Hines

TL;DR
This paper models a global pandemic as a game where individuals choose locations based on infection and isolation costs, revealing that altruism can worsen outcomes and that selfish behavior can be near-optimal.
Contribution
It introduces a game-theoretic model of pandemic behavior, analyzing equilibria for selfish and altruistic populations, and highlights counterintuitive effects of altruism on social costs.
Findings
Selfish equilibria are generally not optimal but are within a constant factor of the best.
There are infinitely many stable altruistic equilibria, most worse than selfish ones.
Altruistic equilibria can have unbounded social costs, unlike in network congestion games.
Abstract
A key challenge in responding to public health crises such as COVID-19 is the difficulty of predicting the results of feedback interconnections between the disease and society. As a step towards understanding these interconnections, we pose a simple game-theoretic model of a global pandemic in which individuals can choose where to live, and we investigate the global behavior that may emerge as a result of individuals reacting locally to the competing costs of isolation and infection. We study the game-theoretic equilibria that emerge from this setup when the population is composed of either selfish or altruistic individuals. First, we demonstrate that as is typical in these types of games, selfish equilibria are in general not optimal, but that all stable selfish equilibria are within a constant factor of optimal. Second, there exist infinitely-many stable altruistic equilibria; all but…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsOpinion Dynamics and Social Influence · COVID-19 epidemiological studies · Mathematical and Theoretical Epidemiology and Ecology Models
