A scalable Bayesian persuasion framework for epidemic containment on heterogeneous networks

Shraddha Pathak and Ankur A. Kulkarni

Journal of Mathematical Economics, 2025, vol. 119, issue C

Abstract: During an epidemic, the information available to individuals in the society deeply influences their belief of the true infectiousness of the disease, and thereby the preventive measures they take to stay safe from the infection. In this paper, we develop a scalable framework for ascertaining the optimal choice of the test for determining the infectiousness of the disease whose results must be truthfully communicated to individuals for the purpose of epidemic containment. We use a networked public goods model to capture the underlying societal structure and the individuals’ incentives during an epidemic, and the Bayesian persuasion framework for modelling the choice of the test. Our first main result is a structural decomposition of the government’s objectives into two independent components – a component dependent on the utility function of individuals, and another dependent on properties of the underlying network. Since the network dependent term in this decomposition is unaffected by the testing strategies adopted by the government, this characterization simplifies the problem of finding the optimal testing methodology. We find explicit conditions, in terms of certain concavity measures, under which perfectly accurate tests, uninformative tests, tests which exaggerate the infectiousness, and ones which downplay it are optimal. Furthermore, we explicitly evaluate these optimal tests for exponential and quadratic benefit functions and study their dependence on underlying parameter values. The structural decomposition results are also helpful in studying other forms of interventions like incentive design and network design.

Keywords: Signalling; Bayesian persuasion; Public goods games on networks; Epidemic containment (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0304406825000515
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:mateco:v:119:y:2025:i:c:s0304406825000515

DOI: 10.1016/j.jmateco.2025.103134

Access Statistics for this article

Journal of Mathematical Economics is currently edited by Atsushi (A.) Kajii

More articles in Journal of Mathematical Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().