The Role of Contact-Tracing Mobile Apps in Pandemic Prevention: A Multidisciplinary Perspective on Health Beliefs, Social, and Technological Factors

Imed Ben Nasr, Galina Kondrateva, Tatiana Khvatova () and Wissal Ben Arfi
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Imed Ben Nasr: Excelia Group | La Rochelle Business School
Galina Kondrateva: EDC - EDC Paris Business School
Tatiana Khvatova: EM - EMLyon Business School, Lappeenranta University of Technology - LUT - Lappeenranta–Lahti University of Technology [Finlande]
Wissal Ben Arfi: PSB - Paris School of Business - HESAM - HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université

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Abstract: During the recent COVID-19 pandemic, governments implemented mobile applications for contact tracing as a rapid and effective solution to mitigate the spread of the virus. However, these seemingly straightforward solutions did not achieve their intended objectives. In line with previous research, this paper aims to investigate the factors that influence the acceptance and usage of contact-tracing mobile apps (CTMAs) in the context of disease control. The research model in this paper integrates the Unified Theory of Acceptance and Use of Technology and the Health Belief Model (HBM). The present study involved a diverse sample of 770 French participants of all genders, ages, occupations, and regions. Critical elements from the Health Belief Model, technological factors related to the app, and social factors, including the centrality of religiosity, were assessed using well-established measurement scales, The research's findings demonstrate that several factors, such as perceived benefits and perceived severity, social influence, health motivation, and centrality of religiosity, significantly impact the intention to use a CTMA. These findings suggest that CTMAs hold promise as valuable tools for managing future epidemics. However, addressing challenges, revising implementation strategies, and potentially collaborating with specialized industry partners under regulatory frameworks are crucial. This practical insight can guide policymakers and public health officials in their decision-making.

Keywords: Contact tracing; epidemic; Health Belief Model; UTAUT; disease outbreak; CTMA usage; Centrality of Religiosity (search for similar items in EconPapers)
Date: 2024-10-01
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Published in Social Science and Medicine, 2024, 358, ⟨10.1016/j.socscimed.2024.117204⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04675950

DOI: 10.1016/j.socscimed.2024.117204

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