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

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Title: Privacy, adoption, and truthful reporting: A simple theory of contact tracing applications
Authors: De Montjoye, Y-A
Ramadorai, T
Valletti, T
Walther, A
Item Type: Journal Article
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.
Issue Date: Jan-2021
Date of Acceptance: 23-Nov-2020
URI: http://hdl.handle.net/10044/1/84987
DOI: 10.1016/j.econlet.2020.109676
ISSN: 0165-1765
Publisher: Elsevier
Start Page: 1
End Page: 4
Journal / Book Title: Economics Letters
Volume: 198
Copyright Statement: © 2020 Elsevier B.V. All rights reserved. This manuscript is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence http://creativecommons.org/licenses/by-nc-nd/4.0/
Sponsor/Funder: Engineering & Physical Science Research Council (E
Funder's Grant Number: 2033180
Keywords: Social Sciences
Economics
Business & Economics
Privacy
Contact tracing apps
Coronavirus
Incentives
14 Economics
Economics
Publication Status: Published
Article Number: 109676
Online Publication Date: 2020-11-25
Appears in Collections:Imperial College Business School
Computing
Faculty of Engineering



This item is licensed under a Creative Commons License Creative Commons