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Open AccessJournal ArticleDOI

Acceptability of App-Based Contact Tracing for COVID-19: Cross-Country Survey Study.

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TLDR
Investigation of the user acceptability of a contact-tracing app in five countries hit by the COVID-19 pandemic found strong support for the app under both regimes, in all countries, across all subgroups of the population, and irrespective of regional-level CO VID-19 mortality rates.
Abstract
Background: The COVID-19 pandemic is the greatest public health crisis of the last 100 years. Countries have responded with various levels of lockdown to save lives and stop health systems from being overwhelmed. At the same time, lockdowns entail large socioeconomic costs. One exit strategy under consideration is a mobile phone app that traces the close contacts of those infected with COVID-19. Recent research has demonstrated the theoretical effectiveness of this solution in different disease settings. However, concerns have been raised about such apps because of the potential privacy implications. This could limit the acceptability of app-based contact tracing in the general population. As the effectiveness of this approach increases strongly with app uptake, it is crucial to understand public support for this intervention. Objective: The objective of this study is to investigate the user acceptability of a contact-tracing app in five countries hit by the pandemic. Methods: We conducted a largescale, multicountry study (N=5995) to measure public support for the digital contact tracing of COVID-19 infections. We ran anonymous online surveys in France, Germany, Italy, the United Kingdom, and the United States. We measured intentions to use a contact-tracing app across different installation regimes (voluntary installation vs automatic installation by mobile phone providers) and studied how these intentions vary across individuals and countries. Results: We found strong support for the app under both regimes, in all countries, across all subgroups of the population, and irrespective of regional-level COVID-19 mortality rates. We investigated the main factors that may hinder or facilitate uptake and found that concerns about cybersecurity and privacy, together with a lack of trust in the government, are the main barriers to adoption. Conclusions: Epidemiological evidence shows that app-based contact tracing can suppress the spread of COVID-19 if a high enough proportion of the population uses the app and that it can still reduce the number of infections if uptake is moderate. Our findings show that the willingness to install the app is very high. The available evidence suggests that app-based contact tracing may be a viable approach to control the diffusion of COVID-19.

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Book ChapterDOI

Attitudes Towards the Use of COVID-19 Apps and Its Associated Factors

Tian Wang, +1 more
TL;DR: Results from this study provide guidance for the government and app service providers on the implementation of appropriate safeguards, but also address on the needs of privacy protections for the vulnerable groups.
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The value of data privacy during the COVID-19 pandemic: a new set of survey questions

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Features of COVID-19 applications and their impact on contact tracing: results of preliminary review

TL;DR: In this paper, a literature review of COVID-19 tracing applications and related privacy issues using the PubMed database was conducted, focusing on the trade-off between technical possibilities and privacy concerns.

Twitter Sentiment Analysis: Global Attitudes Towards COVID-19 Policies

TL;DR: The results show that, overall, people viewed digital contact tracing more favorably than vaccine mandates, and that both DCT and vaccines are more supported by Twitter users in the United Kingdom than those in theUnited States.
References
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Journal ArticleDOI

Quantifying SARS-CoV-2 transmission suggests epidemic control with digital contact tracing.

TL;DR: A mathematical model for infectiousness was developed to estimate the basic reproductive number R0 and to quantify the contribution of different transmission routes and the requirements for successful contact tracing, and the combination of two key parameters needed to reduce R0 to less than 1 was determined.
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