Privacy, adoption, and truthful reporting: A simple theory of contact tracing applications

C-Tier
Journal: Economics Letters
Year: 2021
Volume: 198
Issue: C

Authors (4)

de Montjoye, Yves-Alexandre (not in RePEc) Ramadorai, Tarun (Imperial College) Valletti, Tommaso (Imperial College) Walther, Ansgar (not in RePEc)

Score contribution per author:

0.251 = (α=2.01 / 4 authors) × 0.5x C-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

This paper analyzes the trade-offs associated with the deployment of contact tracing applications to support policy responses in a pandemic. In many jurisdictions, the government cannot force individuals to adopt such applications. We therefore analyze a simple model that highlights the importance of individuals’ incentives to voluntarily adopt a reporting application and reveal their infection status to the government who can then undertake contact monitoring. We discuss the consequences of various policy options, such as security, communication and anonymization policies, in terms of the size and representativeness of the sample of infection data that contract tracing applications generate.

Technical Details

RePEc Handle
repec:eee:ecolet:v:198:y:2021:i:c:s0165176520304365
Journal Field
General
Author Count
4
Added to Database
2026-01-29