Americans’ willingness to adopt a COVID-19 tracking app

Hargittai, Eszter; Redmiles, Elissa M.; Vitak, Jessica; Zimmer, Michael

doi:10.5210/fm.v25i11.11095

Cited by 66 publications

(63 citation statements)

References 18 publications

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“…We investigated the effects of supplementing manual tracing with digital exposure notification for two distinct digital scenarios. In our "low-uptake" condition, 53% of cases possessed chirping smartphones, corresponding to roughly two-thirds of smartphone users; this is consistent with early survey data on willingness to download a contact-tracing app 23,24 . In our "highuptake" condition, 80% of cases possessed chirping smartphones, corresponding to virtually all smartphone users in the US 22 .…”

Section: Resultssupporting

confidence: 86%

Bidirectional contact tracing could dramatically improve COVID-19 control

et al. 2021

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Contact tracing is critical to controlling COVID-19, but most protocols only “forward-trace” to notify people who were recently exposed. Using a stochastic branching-process model, we find that “bidirectional” tracing to identify infector individuals and their other infectees robustly improves outbreak control. In our model, bidirectional tracing more than doubles the reduction in effective reproduction number (Reff) achieved by forward-tracing alone, while dramatically increasing resilience to low case ascertainment and test sensitivity. The greatest gains are realised by expanding the manual tracing window from 2 to 6 days pre-symptom-onset or, alternatively, by implementing high-uptake smartphone-based exposure notification; however, to achieve the performance of the former approach, the latter requires nearly all smartphones to detect exposure events. With or without exposure notification, our results suggest that implementing bidirectional tracing could dramatically improve COVID-19 control.

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Section: Resultssupporting

confidence: 86%

Bidirectional contact tracing could dramatically improve COVID-19 control

et al. 2021

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“…S3 & S6), increasing R eff to levels comparable to, or even worse than, manual tracing alone. As a consequence of this fragility, our results suggest that digital tracing alone cannot currently substitute for traditional manual tracing, even under very optimistic assumptions about uptake and use 19,20 .…”

Section: Resultsmentioning

confidence: 91%

Bidirectional contact tracing dramatically improves COVID-19 control

Bradshaw

2020

Preprint

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Contact tracing is critical to limiting the spread of pandemics such as COVID-19, but most protocols only "forward-trace" to notify people who were recently exposed. Using a stochastic branching process model, we find that "bidirectional" tracing to identify infector individuals robustly outperforms forward-only approaches across a wide range of scenarios. The addition of rapid smartphone-based exposure notification offers few benefits over conventional manual tracing alone unless uptake of the digital system is near-universal. However, as long as exposure events can be detected by nearly all smartphones, the combination of manual and digital with bidirectional tracing more than doubles the probability of controlling outbreaks across three epidemiological scenarios. Implementing combined bidirectional tracing may be critical to controlling COVID-19 without more costly interventions.

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“…12 In addition, as emphasised earlier, the efficiency might depend on many non-technical factors, including the availability of testing, socioeconomic affordances (eg, social safety nets for people affected by the lockdowns) and public trust. 23,24 In general terms, in order to ensure the public benefit of a digital public health technology, developers and deployers must make choices towards a clearly favourable risk-benefit ratio throughout the different phases of the decision making process as outlined in figure 2.…”

Section: Ensuring Public Benefitmentioning

confidence: 99%

Digital tools against COVID-19: taxonomy, ethical challenges, and navigation aid

Gasser

Ienca

Scheibner

et al. 2020

The Lancet Digital Health

259

310

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Data collection and processing via digital public health technologies are being promoted worldwide by governments and private companies as strategic remedies for mitigating the COVID-19 pandemic and loosening lockdown measures. However, the ethical and legal boundaries of deploying digital tools for disease surveillance and control purposes are unclear, and a rapidly evolving debate has emerged globally around the promises and risks of mobilising digital tools for public health. To help scientists and policy makers to navigate technological and ethical uncertainty, we present a typology of the primary digital public health applications that are in use. These include proximity and contact tracing, symptom monitoring, quarantine control, and flow modelling. For each, we discuss context-specific risks, cross-sectional issues, and ethical concerns. Finally, recognising the need for practical guidance, we propose a navigation aid for policy makers and other decision makers for the ethical development and use of digital public health tools.

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Americans’ willingness to adopt a COVID-19 tracking app

Cited by 66 publications

References 18 publications

Bidirectional contact tracing could dramatically improve COVID-19 control

Bidirectional contact tracing could dramatically improve COVID-19 control

Bidirectional contact tracing dramatically improves COVID-19 control

Digital tools against COVID-19: taxonomy, ethical challenges, and navigation aid

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