Beyond the surface of digital contact tracing: delving into the interconnected world of technology, individuals, and society
Beyond the surface of digital contact tracing: delving into the interconnected world of technology, individuals, and society
Information-enabled technology, such as digital contact tracing (DCT), is designed to assist decision-making. However, during the pandemic, DCT also contributes additional factors to consider for individuals and policymakers. In this article, we conceptualise the interactions between individuals and policymakers and propose a leader–followers mean-field Game model to analyse their decision-making processes by integrating key factors, such as individuals’ health state, self-control effort, privacy, and social activities, under the influence of interventions and subsidies from policymakers. The simulation demonstrates that moderate subsidies are sufficient to induce early control efforts and higher collective efforts even with privacy concerns and the negative influence of engaging activities; Equilibrium and system stability can be reached when healthy or the summation of healthy and mediocre healthy populations dominates; The model highlights the crucial elements for future data analysis and collection, such as DCT is vital to indicate population health states.
Digital contact tracing, dynamic systems, mean-field game (MFG)
6332-6344
Hu-Bolz, Jiejun
d1519bb7-6e72-45d3-8cd4-f81fb1e41567
Farrahi, Katayoun
bc848b9c-fc32-475c-b241-f6ade8babacb
Cebrian, Manuel
942ea6dc-57e6-422b-8228-738601c5afe3
2024
Hu-Bolz, Jiejun
d1519bb7-6e72-45d3-8cd4-f81fb1e41567
Farrahi, Katayoun
bc848b9c-fc32-475c-b241-f6ade8babacb
Cebrian, Manuel
942ea6dc-57e6-422b-8228-738601c5afe3
Hu-Bolz, Jiejun, Farrahi, Katayoun and Cebrian, Manuel
(2024)
Beyond the surface of digital contact tracing: delving into the interconnected world of technology, individuals, and society.
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 54 (10), .
(doi:10.1109/TSMC.2024.3428393).
Abstract
Information-enabled technology, such as digital contact tracing (DCT), is designed to assist decision-making. However, during the pandemic, DCT also contributes additional factors to consider for individuals and policymakers. In this article, we conceptualise the interactions between individuals and policymakers and propose a leader–followers mean-field Game model to analyse their decision-making processes by integrating key factors, such as individuals’ health state, self-control effort, privacy, and social activities, under the influence of interventions and subsidies from policymakers. The simulation demonstrates that moderate subsidies are sufficient to induce early control efforts and higher collective efforts even with privacy concerns and the negative influence of engaging activities; Equilibrium and system stability can be reached when healthy or the summation of healthy and mediocre healthy populations dominates; The model highlights the crucial elements for future data analysis and collection, such as DCT is vital to indicate population health states.
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Accepted/In Press date: 8 July 2024
e-pub ahead of print date: 5 August 2024
Published date: 2024
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Publisher Copyright:
© 2024 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.
Keywords:
Digital contact tracing, dynamic systems, mean-field game (MFG)
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Local EPrints ID: 507189
URI: http://eprints.soton.ac.uk/id/eprint/507189
ISSN: 2168-2216
PURE UUID: 857a60db-d0c3-4154-a3ab-c8705e758b85
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Date deposited: 28 Nov 2025 17:46
Last modified: 29 Nov 2025 02:51
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Contributors
Author:
Jiejun Hu-Bolz
Author:
Katayoun Farrahi
Author:
Manuel Cebrian
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