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Mobile applications for pandemic monitoring: approaches, challenges and opportunities

2021Conference object Restricted access
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dc.contributor.authorAlves, Bernardo
dc.contributor.authorAfonso, Vera
dc.contributor.authorSilva, Ana Paula
dc.contributor.authorRibeiro, Fernando Reinaldo
dc.contributor.authorSilva, Arlindo F.
dc.date.accessioned2021-07-16T16:25:59Z
dc.date.available2021-07-16T16:25:59Z
dc.date.issued2021
dc.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.”pt_PT
dc.description.abstractIn 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.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationB. 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.pt_PT
dc.identifier.doi10.23919/CISTI52073.2021.9476395pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.11/7647
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherIEEEpt_PT
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/9476395pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectContact tracingpt_PT
dc.subjectCOVID-19pt_PT
dc.subjectHealth informaticspt_PT
dc.subjectMobile healthpt_PT
dc.subjectPandemic controlpt_PT
dc.titleMobile applications for pandemic monitoring: approaches, challenges and opportunitiespt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceChaves, Portugalpt_PT
oaire.citation.title16th Iberian Conference on Information Systems and Technologiespt_PT
person.familyNameReinaldo Silva Garcia Ribeiro
person.familyNameSilva
person.givenNameFernando
person.givenNameArlindo
person.identifier2374225
person.identifier.ciencia-id7B1C-D761-291D
person.identifier.ciencia-id541A-41FB-4DC3
person.identifier.orcid0000-0002-1225-3844
person.identifier.orcid0000-0002-0620-7518
person.identifier.scopus-author-id56348667700
rcaap.rightsrestrictedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication165761b1-f958-4c13-b53f-ef0a4dde1d97
relation.isAuthorOfPublication1c267362-2fdf-48b1-9675-2983db6f51b0
relation.isAuthorOfPublication.latestForDiscovery1c267362-2fdf-48b1-9675-2983db6f51b0

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