Using Digital Data to Protect and Promote the Most Vulnerable in the Fight Against COVID-19
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OPINION article Front. Public Health, 12 June 2020Sec. Digital Public Health Volume 8 - 2020 | https://doi.org/10.3389/fpubh.2020.00296
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Social media provides a real-time platform where people often candidly self-disclose their concerns, opinions, and struggles during the COVID-19 pandemic.
“Social media provides a real-time platform where people often candidly self-disclose their concerns, opinions, and struggles during this pandemic [23].”
From Psychosocial Effects of the COVID-19 Pandemic: Large-scale Quasi-Experimental Study on Social Media (2020) · cites this paper as [23]
Public health surveillance, including for COVID-19, can account for factors such as the population at risk in epidemiology and demographic disparities in social media use and behavioral expressions.
“[23], public health surveillance (including that for COVID-19) can account for several factors such as the “population at risk” in epidemiology and demographic disparities in the use and behavioral expressions on social media.”
From Psychosocial Effects of the COVID-19 Pandemic: Large-scale Quasi-Experimental Study on Social Media (2020) · cites this paper as [23]
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- Authors
- Chunara, R., & Cook, S. H.
- Affiliations
- New York University (US)
- Corresponding author
- Chunara, Rumi
- Venue
- Frontiers in Public Health
- Publisher
- Frontiers Media SA
- Published
- 2020-06-12
- Volume
- 8
- Pages
- 296-296
- ISSN
- 2296-2565 (ISSN-L)
- PMC
- PMC7303333
- OpenAlex
- W3035026471
- Cited by
- 10
- References
- 17
- Citations by year
- 2023: 4 · 2022: 2 · 2021: 2 · 2020: 2
- FWCI
- 2.35
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Frontiers in Public Health (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Science Foundation (1845487)
- Topics
- Physical Sciences › Computer Science › Information Systems › COVID-19 Digital Contact Tracing
- Health Sciences › Medicine › Epidemiology › Data-Driven Disease Surveillance
- Physical Sciences › Mathematics › Modeling and Simulation › COVID-19 epidemiological studies
- Keywords
- digital public health, COVID-19 pandemic, vulnerable populations, digital data, health equity, pandemic response
- MeSH terms
- COVID-19, Humans, Telemedicine, Vulnerable Populations
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