Digital technologies in the public-health response to COVID-19
By Jobie Budd, B. Miller, E. M. Manning, Vasileios Lampos, Mengdie Zhuang, M. Edelstein, Geraint E. Rees, V. Emery, Molly M. Stevens, Neil Keegan and 7 more. Nature Medicine, 2020
917 citations recorded by the source corpus.
Subfields: Epidemiology, Information Systems, Modeling and Simulation
View Paper: https://www.semanticscholar.org/paper/36c18d6a19c85e253bbc8ab733a57367b0ac4680
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Citations in the corpus
- Artificial intelligence based anomaly detection of energy consumption in buildings: A review, current trends and new perspectives (2021, background): “To that end, the use of RS for supporting human decision making has recently received increased interest [259, 260].”
- Socio-Technological Challenges and Opportunities: Paths Forward (2021, background): “The most recent example is the pandemic where digital technologies empowered society to stay connected and function effectively, and aided in disease tracking and drug discovery to limit the spread of the pandemic [Budd et al., 2020, Salathé et al., 2020, Facebook AI, 2020].”
- Non-pharmaceutical interventions during the COVID-19 pandemic: A review (2020, background): “ct of digital technology Here, we nd two reviews that highlight the incredible opportunities oered by digital technologies to capture behaviors, their changes and inform modeling as well as policies [363, 364]. Interestingly, they also discuss the issues linked to privacy, legal, ethical concerns an”
- Symptoms, complications and management of long COVID: a review (2021, methodology): “Digital technologies are currently being used for the public health response to the COVID-19 pandemic through population surveillance, case identification, contact tracing and evaluation of interventions.(86) A study found up to 30.”