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

Altmann, Samuel; Milsom, Luke; Zillessen, Hannah; Blasone, Raffaele; Gerdon, Frederic; Bach, Ruben L.; Kreuter, Frauke; Nosenzo, Daniele; Toussaert, Séverine; Abeler, Johannes

doi:10.2139/ssrn.3590505

Cited by 28 publications

(34 citation statements)

References 15 publications

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“…Without the certainty that testing provides, surveys suggest that not all individuals will comply with selfisolation guidelines, both when feeling symptoms or when notified by the CTA 31 . We denote a parameter ω i representing the probability of agent i to self-isolate when feeling symptoms of COVID-19.…”

Section: Viral Transmissionmentioning

confidence: 99%

Exploring the effectiveness of a COVID-19 contact tracing app using an agent-based model

Almagor

Picascia

2020

Sci Rep

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A contact-tracing strategy has been deemed necessary to contain the spread of COVID-19 following the relaxation of lockdown measures. Using an agent-based model, we explore one of the technology-based strategies proposed, a contact-tracing smartphone app. The model simulates the spread of COVID-19 in a population of agents on an urban scale. Agents are heterogeneous in their characteristics and are linked in a multi-layered network representing the social structure—including households, friendships, employment and schools. We explore the interplay of various adoption rates of the contact-tracing app, different levels of testing capacity, and behavioural factors to assess the impact on the epidemic. Results suggest that a contact tracing app can contribute substantially to reducing infection rates in the population when accompanied by a sufficient testing capacity or when the testing policy prioritises symptomatic cases. As user rate increases, prevalence of infection decreases. With that, when symptomatic cases are not prioritised for testing, a high rate of app users can generate an extensive increase in the demand for testing, which, if not met with adequate supply, may render the app counterproductive. This points to the crucial role of an efficient testing policy and the necessity to upscale testing capacity.

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Section: Viral Transmissionmentioning

confidence: 99%

Exploring the effectiveness of a COVID-19 contact tracing app using an agent-based model

Almagor

Picascia

2020

Sci Rep

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“…The most relevant APPs have been compiled by [17] and we must emphasize that some of them already have more than two million downloads such as the APP developed in UK (NHS APP), Australia (COVIDsafe), Israel (The Shield), Singapore (TraceTogether) or Spain (Radar COVID). Therefore, some governments are considering using apps that monitor infected people and their environment [18]. One of the main problems of this is the personal information that the user provides, which includes age, sex, height, weight and zip code, in addition to listing any chronic health conditions, such as heart, lung or kidney diseases, diabetes and the regular use of immune suppressants [19].…”

Section: Introductionmentioning

confidence: 99%

Peer Review #3 of "Researching COVID-19 tracing app acceptance: incorporating theory from the technological acceptance model (v0.1)"

2021

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“…Despite high acceptability rates among the population (74.8% of the participants within the sample are in favor of voluntary digital tracing and 68.8% are in favor of automatic applications) (Altmann et al 2020) and positive evaluations regarding its effectiveness (Alsdurf et al 2020;Kretzschmar et al 2020), the implementation of these digital tracing applications has raised many technological and political questions. Faced with these challenges, European governments have taken various positions on the use of this technological tool to manage the ongoing pandemic.…”

Section: Introductionmentioning

confidence: 99%

The adoption of contact tracing applications of COVID-19 by European governments

Jacob

Lawarée

2020

Policy Design and Practice

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Contact tracing can be defined as the identification and the monitoring of each person who has been in contact with an infected person. However, the effectiveness of manual contact tracing is hindered by low responsiveness, limited data processing, respondent omissions or the inability to identify individuals in a crowd. Faced with these limitations, research on digital contact tracing has been carried out. Digital contact tracing, especially smartphone contact tracing apps, has progressively appeared as a solution to slow the spread of the SARS-CoV-2 pandemic. Such a technological solution allows to track, in real-time, a massive number of (potentially) infected individuals within a given population. Despite high acceptability rates among the population and positive evaluations regarding its effectiveness, the implementation of these digital tracing applications has raised many technological and political questions. By conducting a thematic analysis, this research identifies the technological and policy issues with regard to digital tracing in three European countries.

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

Cited by 28 publications

References 15 publications

Exploring the effectiveness of a COVID-19 contact tracing app using an agent-based model

Exploring the effectiveness of a COVID-19 contact tracing app using an agent-based model

Peer Review #3 of "Researching COVID-19 tracing app acceptance: incorporating theory from the technological acceptance model (v0.1)"

The adoption of contact tracing applications of COVID-19 by European governments

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