scispace - formally typeset
Open AccessJournal ArticleDOI

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

Reads0
Chats0
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.

read more

Content maybe subject to copyright    Report

Citations
More filters
Journal ArticleDOI

Users' Expectations, Experiences, and Concerns With COVID Alert, an Exposure-Notification App

TL;DR: In this paper , the authors conducted semi-structured interviews with 20 users of Canada's exposure-notification app, COVID Alert, and identified several types of users' mental models for the app.
Journal ArticleDOI

“You have been in Close Contact with a Person Infected with COVID-19 and you may have been Infected”: Understanding Privacy Concerns, Trust and Adoption in Mobile COVID-19 Tracing Across Four Countries

TL;DR: It is found that people’s existing privacy concerns are an have a reverse correlation with adoption behavior but that the geographical location, as well as other demographics, do not have significant effect on either adoption of the app or privacy concerns.
Journal ArticleDOI

Privacy-Preserving Contact Tracing for Curbing the Spread of Infectious Disease

TL;DR: In this paper , the authors attempt to find a solution to complete the spatiotemporal intersection computation without exposing the infected patient location and the user location to one another, and implement the solution in the WeChat applet to aid the local health center.
Journal ArticleDOI

Acceptance of Data Sharing in Smartphone Apps from Key Industries of the Digital Transformation: A Representative Population Survey for Germany

TL;DR: In this article, the authors investigated the acceptability of data sharing in different hypothetical scenarios describing five types of smartphone apps from key industries of the digital transformation, and found that participants with stronger green consumption values, participants with a stronger risk propensity, men, and younger participants show a higher acceptance towards data sharing.
Peer Review

Nudging App Adoption: Choice Architecture Facilitates Consumer Uptake of Digital Contact Tracing Apps Blinded for peer review

TL;DR: In this paper , the authors demonstrate across four pre-registered experiments and a field experiment that choice architecture interventions, which manipulate the color, wording, and choice sequence of app adoption decisions, dramatically increase app adoption.
References
More filters
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.
Posted Content

Do Defaults Save Lives

TL;DR: The article discusses how should policy-makers choose defaults regarding organ donors, noting that every policy must have a no-action default, and defaults impose physical, cognitive, and emotional costs on those who must change their status.
Journal ArticleDOI

Do Defaults Save Lives

TL;DR: The authors examine the impact of simple policy defaults on the decision to become an organ donor, finding large effects that significantly increase donation rates, with significant economic impact. But, the authors of this paper use natural and experimental data.
Journal ArticleDOI

Second-Level Digital Divide: Differences in People's Online Skills

TL;DR: It is suggested that people search for content in a myriad of ways and there is considerable difference in whether individuals are able to find various types of content on the Web and a large variance in how long it takes to complete online tasks.
Related Papers (5)