On the responsible use of digital data to tackle the COVID-19 pandemic

Ienca, Marcello; Vayena, Effy

doi:10.1038/s41591-020-0832-5

Cited by 449 publications

(368 citation statements)

References 8 publications

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“…Given the public health threat posed by the pandemic, the European GDPR (Article 9) allows personal data collection and analysis, as long as it has a clear and specific public health aim (Ienca and Vayena 2020). Flexibility to gather and analyze big data promptly is essential in combatting the pandemic, even if it may require that the authorities collect more personal data than many people would feel comfortable with.…”

Section: Resultsmentioning

confidence: 99%

Artificial intelligence vs COVID-19: limitations, constraints and pitfalls

2020

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Section: Resultsmentioning

confidence: 99%

Artificial intelligence vs COVID-19: limitations, constraints and pitfalls

2020

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“…Compared with the SARS outbreak of 20 years ago, the current emergency of COVID-19 is occurring in a much more digitized and connected world. Mobile technology for the purpose of surveillance or isolation, e.g., to trace the source of the infection in an area, or to track the contacts of infected people, is instrumental to help fight against the COVID-19 pandemic [168].…”

Section: A Contact Tracing Technologymentioning

confidence: 99%

“…A contact-tracing app that builds a library of close contacts and immediately alerts contacts of positive cases can achieve epidemic control if used by enough people [169]. The largescale collection of mobile data from millions of users raises concerns over privacy and confidentiality [168]. To address these issues, Yasaka et al developed a peer-to-peer contact tracing app that uses an anonymized graph of interpersonal interactions to conduct the contact tracing.…”

Section: A Contact Tracing Technologymentioning

confidence: 99%

Wearable Sensing and Telehealth Technology with Potential Applications in the Coronavirus Pandemic

Ding

Clifton

et al. 2021

IEEE Rev. Biomed. Eng.

218

155

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Coronavirus disease 2019 (COVID-19) has emerged as a pandemic with serious clinical manifestations including death.A pandemic at the large-scale like COVID-19 places extraordinary demands on the world's health systems, dramatically devastates vulnerable populations, and critically threatens the global communities in an unprecedented way. While tremendous efforts at the frontline are placed on detecting the virus, providing treatments and developing vaccines, it is also critically important to examine the technologies and systems for tackling disease emergence, arresting its spread and especially the strategy for diseases prevention. The objective of this article is to review enabling technologies and systems with various application scenarios for handling the COVID-19 crisis. The article will focus specifically on 1) wearable devices suitable for monitoring the populations at risk and those in quarantine, both for evaluating the health status of caregivers and management personnel, and for facilitating triage processes for admission to hospitals; 2) unobtrusive sensing systems for detecting the disease and for monitoring patients with relatively mild symptoms whose clinical situation could suddenly worsen in improvised hospitals; and 3) telehealth technologies for the remote monitoring and diagnosis of COVID-19 and related diseases. Finally, further challenges and opportunities for future directions of development are highlighted.

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“…As well as isolation of symptomatic individuals and tracing and quarantine of their contacts, measures have included general physical distancing, school closures, remote working, community testing and cancellation of events. It has also been suggested that the effectiveness of contact tracing could be enhanced through app-based digital tracing (12,13) . The effectiveness of contact tracing and the extent of resources required to implement it successfully will depend on the social interactions within a population (14) .…”

Section: Introductionmentioning

confidence: 99%

Effectiveness of isolation, testing, contact tracing and physical distancing on reducing transmission of SARS-CoV-2 in different settings

Kucharski

Klepac

Conlan³

et al. 2020

Preprint

161

187

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Background: Isolation of symptomatic cases and tracing of contacts has been used as an early COVID-19 containment measure in many countries, with additional physical distancing measures also introduced as outbreaks have grown. To maintain control of infection while also reducing disruption to populations, there is a need to understand what combination of measures -including novel digital tracing approaches and less intensive physical distancing -may be required to reduce transmission.Methods: Using a model of individual-level transmission stratified by setting (household, work, school, other) based on BBC Pandemic data from 40,162 UK participants, we simulated the impact of a range of different testing, isolation, tracing and physical distancing scenarios. As well as estimating reduction in effective reproduction number, we estimated, for a given level of COVID-19 incidence, the number of contacts that would be newly quarantined each day under different strategies.Results: Under optimistic but plausible assumptions, we estimated that combined testing and tracing strategies would reduce transmission more than mass testing or self-isolation alone (50-65% compared to 2-30%). If limits are placed on gatherings outside of home/school/work (e.g. maximum of 4 daily contacts in other settings), then manual contact tracing of acquaintances only could have a similar effect on transmission reduction as detailed contact tracing. In a scenario where there were 10,000 new symptomatic cases per day, we estimated in most contact tracing strategies, 140,000 to 390,000 contacts would be newly quarantined each day. Conclusions:Consistent with previous modelling studies and country-specific COVID-19 responses to date, our analysis estimates that a high proportion of cases would need to self-isolate and a high proportion of their contacts to be successfully traced to ensure an effective reproduction number that is below one in the absence of other measures. If combined with moderate physical distancing measures, self-isolation and contact tracing would be more likely to achieve control.

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On the responsible use of digital data to tackle the COVID-19 pandemic

Cited by 449 publications

References 8 publications

Artificial intelligence vs COVID-19: limitations, constraints and pitfalls

Artificial intelligence vs COVID-19: limitations, constraints and pitfalls

Wearable Sensing and Telehealth Technology with Potential Applications in the Coronavirus Pandemic

Effectiveness of isolation, testing, contact tracing and physical distancing on reducing transmission of SARS-CoV-2 in different settings

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