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The Expanding Digital Divide: Digital Health Access Inequities during the COVID-19 Pandemic in New York City
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“Racialized and marginalized groups bore the greatest burden of COVID-19, replicating and sometimes widening the health disparities that were already evident pre-pandemic (7, 8).”
From The Health Communications Assessment Checklist: a teaching tool for uncovering bias in the age of AI (2026) · cites this paper as [7]
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Metadata
- Authors
- Eruchalu, C. N., Pichardo, M. S., Bharadwaj, M., Rodriguez, C. B., Rodriguez, J. A., Bergmark, R. W., Bates, D. W., & Ortega, G.
- Affiliations
- Harvard University (US)
- Howard University (US)
- Columbia University (US)
- Brigham and Women's Hospital (US)
- Corresponding author
- Ortega, Gezzer
- ORCID
- Venue
- Journal of Urban Health
- Published
- 2021-01-20
- Volume
- 98
- Issue
- 2
- Pages
- 183-186
- ISSN
- 0028-7091 (ISSN-L)
- 1099-3460
- 1468-2869
- PMC
- PMC7816740
- OpenAlex
- W3124811476
- Cited by
- 245
- References
- 10
- Citations by year
- 2026: 20 · 2025: 46 · 2024: 44 · 2023: 51 · 2022: 62 · 2021: 22
- FWCI
- 38.79
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Urban Health (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Digital Howard (Howard University) (submittedVersion)
- Funders
- National Institutes of Health (UL1TR001863)
- National Center for Advancing Translational Sciences
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › ICT Impact and Policies
- Social Sciences › Education › Educational Innovations and Technology
- Keywords
- digital divide, telemedicine, COVID-19 pandemic, broadband access, digital health inequities, social determinants of health, digital literacy, health disparities, New York City, low-income populations, racial and ethnic minorities, older adults, language barriers
- MeSH terms
- COVID-19, SARS-CoV-2, Humans, New York City, Pandemics, Digital Divide
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