2021
DOI: 10.2196/25726
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Adoption of COVID-19 Contact Tracing Apps: A Balance Between Privacy and Effectiveness

Abstract: With the relative ubiquity of smartphones, contact tracing and exposure notification apps have been looked to as novel methods to help reduce the transmission of COVID-19. Many countries have created apps that lie across a spectrum from privacy-first approaches to those that have very few privacy measures. The level of privacy incorporated into an app is largely based on the societal norms and values of a particular country. Digital health technologies can be highly effective and preserve privacy at the same t… Show more

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Cited by 58 publications
(41 citation statements)
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References 10 publications
(7 reference statements)
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“…Control of citizen’s confidentiality, privacy and data protection may also be compromised [4] , [10] , [12] , [14] , [16] , [18] , [22] , [32] , [34] , [11] , [36] , [37] , [46] , [47] , [49] , [33] , [52] , [67] , [75] , [76] , [82] , [91] , [93] , [99] , [100] , [101] , [102] , [103] . In particular, contact tracing apps have been widely adopted for tracking COVID-19 infections [104] , raising privacy concerns regarding personal data breach [20] , [21] , [23] , [24] , [25] , [38] , [39] , [50] , [55] , [56] , [70] , [105] , [106] , [107] . The apps introduced by various countries may opt for different data sharing consent and data sharing policies.…”
Section: Resultsmentioning
confidence: 99%
“…Control of citizen’s confidentiality, privacy and data protection may also be compromised [4] , [10] , [12] , [14] , [16] , [18] , [22] , [32] , [34] , [11] , [36] , [37] , [46] , [47] , [49] , [33] , [52] , [67] , [75] , [76] , [82] , [91] , [93] , [99] , [100] , [101] , [102] , [103] . In particular, contact tracing apps have been widely adopted for tracking COVID-19 infections [104] , raising privacy concerns regarding personal data breach [20] , [21] , [23] , [24] , [25] , [38] , [39] , [50] , [55] , [56] , [70] , [105] , [106] , [107] . The apps introduced by various countries may opt for different data sharing consent and data sharing policies.…”
Section: Resultsmentioning
confidence: 99%
“…These data are necessary to calculate whether an encounter was long enough to pose a substantial risk and for how long a warning needs to be displayed until the app user’s potential period of infectiousness ends [ 5 ]. Naturally, there is always a trade-off between data protection and the benefits that come with collecting and sharing more data [ 21 ]. If warnings include detailed information on the timing of encountering a COVID-19 carrier, the identity of the infected person might get exposed.…”
Section: Discussionmentioning
confidence: 99%
“…These different architectures have implications for privacy protection and data security. Hence, they might influence the outcome of benefit-risk analyses and might determine the willingness to adopt a technology [ 19 - 21 ].…”
Section: Introductionmentioning
confidence: 99%
“…These different architectures have implications for privacy protection and data security. Hence, they might influence the outcome of benefit-risk analyses and might determine the willingness to adopt a technology [19][20][21].…”
Section: Corona Ctasmentioning
confidence: 99%