Contact Tracing Apps: Lessons Learned on Privacy, Autonomy, and the Need for Detailed and Thoughtful Implementation

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dc.citation.articleNumbere27449en_US
dc.citation.issueNumber7en_US
dc.citation.journalTitleJMIR Medical Informaticsen_US
dc.citation.volumeNumber9en_US
dc.contributor.authorHogan, Katieen_US
dc.contributor.authorMacedo, Brianaen_US
dc.contributor.authorMacha, Venkataen_US
dc.contributor.authorBarman, Arkoen_US
dc.contributor.authorJiang, Xiaoqianen_US
dc.contributor.orgData to Knowledge Laben_US
dc.date.accessioned2021-09-21T15:37:37Zen_US
dc.date.available2021-09-21T15:37:37Zen_US
dc.date.issued2021en_US
dc.description.abstractThe global and national response to the COVID-19 pandemic has been inadequate due to a collective lack of preparation and a shortage of available tools for responding to a large-scale pandemic. By applying lessons learned to create better preventative methods and speedier interventions, the harm of a future pandemic may be dramatically reduced. One potential measure is the widespread use of contact tracing apps. While such apps were designed to combat the COVID-19 pandemic, the time scale in which these apps were deployed proved a significant barrier to efficacy. Many companies and governments sprinted to deploy contact tracing apps that were not properly vetted for performance, privacy, or security issues. The hasty development of incomplete contact tracing apps undermined public trust and negatively influenced perceptions of app efficacy. As a result, many of these apps had poor voluntary public uptake, which greatly decreased the apps’ efficacy. Now, with lessons learned from this pandemic, groups can better design and test apps in preparation for the future. In this viewpoint, we outline common strategies employed for contact tracing apps, detail the successes and shortcomings of several prominent apps, and describe lessons learned that may be used to shape effective contact tracing apps for the present and future. Future app designers can keep these lessons in mind to create a version that is suitable for their local culture, especially with regard to local attitudes toward privacy-utility tradeoffs during public health crises.en_US
dc.identifier.citationHogan, Katie, Macedo, Briana, Macha, Venkata, et al.. "Contact Tracing Apps: Lessons Learned on Privacy, Autonomy, and the Need for Detailed and Thoughtful Implementation." <i>JMIR Medical Informatics,</i> 9, no. 7 (2021) JMIR: https://doi.org/10.2196/27449.en_US
dc.identifier.digitalContactTracingAppsen_US
dc.identifier.doihttps://doi.org/10.2196/27449en_US
dc.identifier.urihttps://hdl.handle.net/1911/111367en_US
dc.language.isoengen_US
dc.publisherJMIRen_US
dc.rightsThis is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Medical Informatics, is properly cited. The complete bibliographic information, a link to the original publication on https://medinform.jmir.org/, as well as this copyright and license information must be included.en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.titleContact Tracing Apps: Lessons Learned on Privacy, Autonomy, and the Need for Detailed and Thoughtful Implementationen_US
dc.typeJournal articleen_US
dc.type.dcmiTexten_US
dc.type.publicationpublisher versionen_US
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