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dc.contributor.authorChowdhury, MJM
dc.contributor.authorFerdous, MS
dc.contributor.authorBiswas, K
dc.contributor.authorChowdhury, N
dc.contributor.authorMuthukkumarasamy, V
dc.date.accessioned2021-01-13T04:24:44Z
dc.date.available2021-01-13T04:24:44Z
dc.date.issued2020
dc.identifier.issn2169-3536
dc.identifier.doi10.1109/ACCESS.2020.3036718
dc.identifier.urihttp://hdl.handle.net/10072/400987
dc.description.abstractContact tracing has become a vital tool for public health officials to effectively combat the spread of new diseases, such as the novel coronavirus disease COVID-19. Contact tracing is not new to epidemiologist rather, it used manual or semi-manual approaches that are incredibly time-consuming, costly and inefficient. It mostly relies on human memory while scalability is a significant challenge in tackling pandemics. The unprecedented health and socio-economic impacts led researchers and practitioners around the world to search for technology-based approaches for providing scalable and timely answers. Smartphones and associated digital technologies have the potential to provide a better approach due to their high level of penetration, coupled with mobility. While data-driven solutions are extremely powerful, the fear among citizens is that information like location or proximity associated with other personal data can be weaponised by the states to enforce surveillance. Low adoption rate of such apps due to the lack of trust questioned the efficacy and demanded researchers to find innovative solution for building digital-trust, and appropriately balancing privacy and accuracy of data. In this paper, we have critically reviewed such protocols and apps to identify the strength and weakness of each approach. Finally, we have penned down our recommendations to make the future contact tracing mechanisms more universally inter-operable and privacy-preserving.
dc.description.peerreviewedYes
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartofpagefrom225703
dc.relation.ispartofpageto225729
dc.relation.ispartofjournalIEEE Access
dc.relation.ispartofvolume8
dc.subject.fieldofresearchInformation and Computing Sciences
dc.subject.fieldofresearchEngineering
dc.subject.fieldofresearchTechnology
dc.subject.fieldofresearchcode08
dc.subject.fieldofresearchcode09
dc.subject.fieldofresearchcode10
dc.titleCOVID-19 Contact Tracing: Challenges and Future Directions
dc.typeJournal article
dc.type.descriptionC1 - Articles
dcterms.bibliographicCitationChowdhury, MJM; Ferdous, MS; Biswas, K; Chowdhury, N; Muthukkumarasamy, V, COVID-19 Contact Tracing: Challenges and Future Directions, IEEE Access, 2020, 8, pp. 225703-225729
dcterms.licensehttp://creativecommons.org/licenses/by/4.0/
dc.date.updated2021-01-13T03:42:59Z
dc.description.versionVersion of Record (VoR)
gro.hasfulltextFull Text
gro.griffith.authorMuthukkumarasamy, Vallipuram
gro.griffith.authorBiswas, Kamanashis


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