Rural areas at risk during COVID-19 pandemic
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Rural areas are economically and educationally under-resourced.
“This is not surprising as rural areas, as opposed to urban areas, often have limited mental health services, lacking access to adequate healthcare, being economically and educationally under-resourced, and usually consisting of elder populations with worse health outcomes—making those living in these communities even more vulnerable to COVID-19 [49–51].”
From Mental Health Impact of COVID-19 among Children and College Students: A Systematic Review (2023) · cites this paper as [49]
Rural areas often have limited mental health services and lack access to adequate healthcare.
“This is not surprising as rural areas, as opposed to urban areas, often have limited mental health services, lacking access to adequate healthcare, being economically and educationally under-resourced, and usually consisting of elder populations with worse health outcomes—making those living in these communities even more vulnerable to COVID-19 [49–51].”
From Mental Health Impact of COVID-19 among Children and College Students: A Systematic Review (2023) · cites this paper as [49]
Rural areas usually have elder populations with worse health outcomes.
“This is not surprising as rural areas, as opposed to urban areas, often have limited mental health services, lacking access to adequate healthcare, being economically and educationally under-resourced, and usually consisting of elder populations with worse health outcomes—making those living in these communities even more vulnerable to COVID-19 [49–51].”
From Mental Health Impact of COVID-19 among Children and College Students: A Systematic Review (2023) · cites this paper as [49]
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Evolving Otolaryngology Resident Roles and Concerns at the Peak of the US COVID ‐19 Pandemic
Cai, Y., Gulati, A., Jiam, N. T., Wai, K. C., Shuman, E. A., Pletcher, S. D., Durr, M. L., & Chang, J. L. (2020) · Head & Neck · doi:10.1002/hed.26438 · Cited by 5 · see citing works
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- Authors
- Ranscombe, P.
- Corresponding author
- Ranscombe, Peter
- Venue
- The Lancet Infectious Diseases
- Publisher
- Elsevier BV
- Published
- 2020-05
- Volume
- 20
- Issue
- 5
- Pages
- 545
- ISSN
- 1473-3099 (ISSN-L)
- PMC
- PMC7164870
- OpenAlex
- W3016993799
- Cited by
- 167
- References
- 0
- Citations by year
- 2026: 2 · 2025: 8 · 2024: 3 · 2023: 19 · 2022: 38 · 2021: 53 · 2020: 44
- FWCI
- 6.12
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- The Lancet Infectious Diseases (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Modeling and Simulation › COVID-19 epidemiological studies
- Health Sciences › Health Professions › General Health Professions › Healthcare Systems and Challenges
- Health Sciences › Medicine › Infectious Diseases › COVID-19 Clinical Research Studies
- Keywords
- COVID-19 pandemic, rural areas, health disparities, pandemic risk, rural health
- MeSH terms
- Betacoronavirus, Travel-Related Illness, COVID-19, SARS-CoV-2, Humans, Pneumonia, Viral, Risk Factors, Rural Health, Rural Population, Coronavirus Infections, Pandemics
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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