On the responsible use of digital data to tackle the COVID-19 pandemic
By Marcello Ienca, Effy Vayena. Nature Medicine, 2020
425 citations recorded by the source corpus.
Large-scale collection of data could help curb the COVID-19 pandemic, but it should not neglect privacy and public trust. Best practices should be identified to maintain responsible data-collection and data-processing standards at a global scale.
Subfields: Epidemiology, Information Systems, Modeling and Simulation
View Paper: https://www.semanticscholar.org/paper/55606c0e4aabe1e84bc51ec7aa7aa16c863f8f8c
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In Information Systems
Citations in the corpus
- Industry 4.0 technologies and their applications in fighting COVID-19 pandemic (2020, neutral): “The proper updates on the gathering of people are provided by the data captured by the advance technologies [1,2].”
- Adoption of Digital Technologies in Health Care During the COVID-19 Pandemic: Systematic Review of Early Scientific Literature (2020, background): “For surveillance, digital apps have already proven their effectiveness [142-144]; however, problems related to privacy and usability remain [145].”
- Artificial Intelligence (AI) and Big Data for Coronavirus (COVID-19) Pandemic: A Survey on the State-of-the-Arts (2020, background): “Another role of big data is the tracking of COVID-19 spread, which is of paramount importance for healthcare organizations and governments in controlling successfully the coronavirus pandemic [106].”
- Privacy preservation in federated learning: An insightful survey from the GDPR perspective (2020, background): “A series of severe personal data breaches such as Facebook’s Cambridge Analytica scandal, along with urgent mobile applications during the SARS-CoV2 pandemic for large-scale contact tracing and movement tracking [61] trigger worldwide attention respecting to a variety of privacy-related aspects incl”