Combating COVID-19: health equity matters
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There is a preponderance of evidence demonstrating that the COVID-19 epidemic has disproportionately affected lower income sub-city units, and the Americas is no exception.
“There is now a preponderance of evidence demonstrating that the epidemic has disproportionately affected lower income sub-city units, and the Americas is no exception [17–22].”
From Social epidemiology of urban COVID-19 inequalities in Latin America and Canada (2024) · cites this paper as [21]
The Abstract (page not indicated) says COVID-19 disproportionately affected vulnerable populations across China and the world and describes harm to people in deprived areas. It does not establish a pattern specifically in lower-income sub-city units or the Americas; it also says solid evidence on COVID-19 health inequities was urgently needed, rather than describing a preponderance of evidence. (LLM, conf=0.86)
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- Authors
- Wang, Z., & Tang, K.
- Affiliations
- Tsinghua University (CN)
- Corresponding author
- Tang, Kun
- Venue
- Nature Medicine
- Published
- 2020-03-26
- Volume
- 26
- Issue
- 4
- Pages
- 458-458
- ISSN
- 1078-8956 (ISSN-L)
- 1546-170X
- OpenAlex
- W3013287931
- Cited by
- 382
- References
- 9
- Citations by year
- 2026: 8 · 2025: 18 · 2024: 15 · 2023: 57 · 2022: 64 · 2021: 127 · 2020: 93
- FWCI
- 47.17
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Nature Medicine (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Health › Public Health and Social Inequalities
- Social Sciences › Health › Health disparities and outcomes
- Physical Sciences › Mathematics › Modeling and Simulation › COVID-19 epidemiological studies
- Keywords
- COVID-19 pandemic, health equity, health disparities, vulnerable populations, pandemic response, social determinants of health
- MeSH terms
- Health Equity, Betacoronavirus, COVID-19, SARS-CoV-2, China, Data Collection, Financing, Personal, Health Services Needs and Demand, Humans, Pneumonia, Viral, Poverty, Social Conditions, Socioeconomic Factors, Global Health, Coronavirus Infections, Vulnerable Populations, Health Status Disparities, Healthcare Disparities, Pandemics
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