Cited by 245Telemedicine and Telehealth ImplementationICT Impact and PoliciesEducational Innovations and Technology

The Expanding Digital Divide: Digital Health Access Inequities during the COVID-19 Pandemic in New York City

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Eruchalu, Chukwuma N., Pichardo, Margaret S., Bharadwaj, Maheetha, Rodriguez, Carmen B., Rodriguez, Jorge A., Bergmark, Regan W., Bates, David W., Ortega, Gezzer·2021·Journal of Urban Health

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Crossref · 10.1007/s11524-020-00508-9

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  • Racialized and marginalized groups bore the greatest burden of COVID-19, replicating and sometimes widening pre-pandemic health disparities.

    “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]

    The Introduction reports racial/ethnic and socioeconomic disparities in COVID-19 infection and mortality across New York City neighborhoods. It also says digital inequities may compound existing structural disadvantages and exacerbate disparities. That supports a disproportionate burden, but not the broader claim that these groups bore the greatest COVID-19 burden or that pre-pandemic health disparities were demonstrably widened. (LLM, conf=0.84)

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Research works printed but not linked: 6

  1. [2]2019 Broadband Deployment Report. Federal Communications Commission; 2019:331. https://docs.fcc.gov/public/attachments/FCC-19-44A1.pdf. Accessed 2 July 2020.
  2. [5]Gamino, Jr. M. Truth in broadband: access and connectivity in New York City. NYC Mayor’s Office of the Chief Technology Officer; 2018:66. https://tech.cityofnewyork.us/wp-content/uploads/2018/04/NYC-Connected-Broadband-Report-2018.pdf. Accessed 22 Jul 2020.
  3. [6]Stringer SM. Census and the city: overcoming NYC’s digital divide in the 2020 census. New York City Comptroller: Bureau of Policy & Research; 2019:24. https://comptroller.nyc.gov/wp-content/uploads/documents/Census_and_The_City_Overcoming_NYC_Digital_Divide_Census.pdf. Accessed 22 Jul 2020.
  4. [7]Mamedova S, Pawlowski E. A description of U.S. adults who are not digitally literate. U.S. Department of Education; 2018:33. https://nces.ed.gov/pubs2018/2018161.pdf. Accessed 24 June 2020.
  5. [11]Institute of Museum and Library Services. Building digital communities: getting started. Institute of Museum and Library Services; 2012:36. https://www.imls.gov/assets/1/AssetManager/BuildingDigitalCommunities.pdf. Accessed 26 July 2020.
  6. [13]Penarroyo C, Lindquist S, Miller R. Mapping Detroit’s digital divide. Urban Collaboratory: University of Michigan; 2018:37. https://www.urbanlab.umich.edu/project/mapping-detroits-digital-divide/. Accessed 9 Oct 2020.

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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
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
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
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
  • Physical Sciences › Engineering › Media Technology › ICT Impact and Policies
  • Physical Sciences › Computer Science › Information Systems › 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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