Mobile applications for pandemic monitoring: approaches, challenges and opportunities
Type
conferenceObject
Publisher
Identifier
B. Alves, V. Afonso, A. P. Silva, F. R. Ribeiro and A. Silva, "Mobile Applications for Pandemic Monitoring : Approaches, Challenges and Opportunities," 2021 16th Iberian Conference on Information Systems and Technologies (CISTI), 2021, pp. 1-6, doi: 10.23919/CISTI52073.2021.9476395.
10.23919/CISTI52073.2021.9476395
Title
Mobile applications for pandemic monitoring: approaches, challenges and opportunities
Subject
Contact tracing
COVID-19
Health informatics
Mobile health
Pandemic control
COVID-19
Health informatics
Mobile health
Pandemic control
Date
2021-07-16T16:25:59Z
2021-07-16T16:25:59Z
2021-06
2021-07-16T16:25:59Z
2021-06
Description
“© © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.”
In the context of the COVID-19 pandemic, mobile applications have been widely used and promoted to help prevent the spread of the pandemic. Many countries have proposed these applications with the aim of improving contact tracing and thus helping “flatten the curve” of infection case numbers. However, even though there were many campaigns to promote the use of these apps, their adoption was relatively low, which significantly affected their success. The success of COVID-19 contact tracing apps, in terms of its massive use and effectiveness, seems to have been deeply affected by issues associated with privacy and anonymity and the perception that its potential users have about the cost/benefit. In this paper, we analyze some applications for monitoring and contact tracing of infectious diseases to identify the most common approaches and features. We then proceed to discuss the challenges and risks that may influence the success of this type of applications, and we present some recommendations that can contribute to improve their acceptance. Considering the proposed recommendations, we describe the main features and the development of an app that includes additional functionalities alongside the contact tracing feature, in order to increase user perceived value from the use of the application.
info:eu-repo/semantics/publishedVersion
In the context of the COVID-19 pandemic, mobile applications have been widely used and promoted to help prevent the spread of the pandemic. Many countries have proposed these applications with the aim of improving contact tracing and thus helping “flatten the curve” of infection case numbers. However, even though there were many campaigns to promote the use of these apps, their adoption was relatively low, which significantly affected their success. The success of COVID-19 contact tracing apps, in terms of its massive use and effectiveness, seems to have been deeply affected by issues associated with privacy and anonymity and the perception that its potential users have about the cost/benefit. In this paper, we analyze some applications for monitoring and contact tracing of infectious diseases to identify the most common approaches and features. We then proceed to discuss the challenges and risks that may influence the success of this type of applications, and we present some recommendations that can contribute to improve their acceptance. Considering the proposed recommendations, we describe the main features and the development of an app that includes additional functionalities alongside the contact tracing feature, in order to increase user perceived value from the use of the application.
info:eu-repo/semantics/publishedVersion
Access restrictions
restrictedAccess
http://creativecommons.org/licenses/by/4.0/
http://creativecommons.org/licenses/by/4.0/
Language
eng
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