COVID-19 Contact-Tracing Mobile Apps: Evaluation and Assessment for Decision Makers

Raskar, Ramesh; Nadeau, Greg; Werner, John S.; Barbar, Rachel; Mehra, Ashley; Harp, Gabriel; Leopoldseder, Markus; Wilson, Bryan R.; Flakoll, Derrick; Vepakomma, Praneeth; Pahwa, Deepti; Beaudry, Robson; Flores, Emelin; Maciej, Popielarz,; Bhatia, Akanksha; Nuzzo, Andrea; Gee, Matt; Summet, Jay; Surati, Rajeev; Khastgir, Bikram; Benedetti, Francesco M.; Kristen, Vilcans,; Leis, S. Kannan; Louisy, Khahlil

doi:10.48550/arxiv.2006.05812

Cited by 2 publications

(2 citation statements)

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“…Using smartphones for tracing is not only less labor-intensive, it can also be extended rapidly to a large crowd. From a technical perspective, a variety of methods have been discussed in terms of effectiveness, privacy and security risks, including using Bluetooth technology, GPS data or other wireless technologies (Raskar et al, 2020). Bluetooth technology is preferred over GPS in most contact tracing apps due to privacy advantages (O'neill et al, 2020;Ciucci & Gouard eres, 2020).…”

Section: Conceptual Foundations 21 Functioning and Diffusion Of Conta...mentioning

confidence: 99%

How the introduction of the COVID-19 tracing apps affects future tracking technology adoption

Matt

Teebken

Özcan

2022

DTS

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PurposeStudies on the coronavirus disease 2019 (COVID-19) tracing apps have mostly focused on how to optimize adoption and continuous use, but did not consider potential long-term effects of their introduction. This study aims to analyse whether the characteristics of the recent introduction of tracing apps may negatively impact individuals' attitudes and intentions to adopt future tracking technology.Design/methodology/approachIn an online experiment across three countries (Australia, Germany, UK), the authors measured how perceived benefits of COVID-19 tracing apps as well as specific government and campaign-related factors affect privacy concerns, attitude towards future tracking apps and intention to adopt. The authors manipulated the type of provider (governmental vs private) and the type of beneficiaries of the future tracking technology app (the individual alone or also the public) as determinants of adoption.FindingsThe authors find that privacy concerns towards the COVID-19 tracing apps negatively impact attitude and intention to adopt future tracking apps. Future adoption is more likely if the app is provided by the government, whereas additional benefits to the public do not positively stimulate adoption. Second, the study analyzed different factors, including perceptions on governments and the app introduction, as well as perceived benefits.Originality/valueTaking the introduction of COVID-19 apps in different countries as a basis, the authors link both perceived benefits and contextual factors to privacy concerns, attitudes towards and intention to adopt the related technology in the future. The authors hereby clarify the responsibility of governmental actors who conduct large-scale technology introductions for the future diffusion of related technologies.

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Section: Conceptual Foundations 21 Functioning and Diffusion Of Conta...mentioning

confidence: 99%

How the introduction of the COVID-19 tracing apps affects future tracking technology adoption

Matt

Teebken

Özcan

2022

DTS

View full text Add to dashboard Cite

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“…Additionally, several technological options were explored for the first time in such an extent, with contact tracing being probably the most celebrated approach [1,19,23,8]. However, it was soon established that such solutions are deteriorated by several problems in practice, mostly due to the fact that the notion of 'contact' is very different between wireless technologies (e.g.…”

Section: Human Activities and Epidemic Spreadmentioning

confidence: 99%

Mobility Analytics and COVID-19 in Greece

Georgiou

Theodoridis

2022

Springer Series on Bio- And Neurosystems

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This work is focused on multi-aspect analytics of epidemic data, using Greece as the use case for assessing the national outbreak and estimating the general trends and outlook of it since the beginning of the pandemic in early 2020 up to the end of 2020. Using methodologies from compartmentalized epidemic modelling, data analytics and machine learning, several insights are presented with regard to early tracking of the evolving outbreak, despite having to deal with data scarcity, inconsistencies and quality issues. It is intended to be used as a guideline for data-related challenges on producing actionable information to decisionmakers during an active epidemic.

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COVID-19 Contact-Tracing Mobile Apps: Evaluation and Assessment for Decision Makers

Cited by 2 publications

References 0 publications

How the introduction of the COVID-19 tracing apps affects future tracking technology adoption

How the introduction of the COVID-19 tracing apps affects future tracking technology adoption

Mobility Analytics and COVID-19 in Greece

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