ArticleThe European journal of health economics : HEPAC : health economics in prevention and care2023
Inequality, public health, and COVID-19: an analysis of the Spanish case by municipalities.
Article in The European journal of health economics : HEPAC : health economics in prevention and care, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed, 15 citations in OpenAlex.
- Socioeconomic determinants of extreme perinatal outcomes in Spain, 1996-2022.Scientific reports · 2026Article
- Socioeconomic disparities and concentration of the spread of the COVID-19 pandemic in the province of Quebec, Canada.BMC public health · 2023Article
- COVID-19 mortality and deprivation: pandemic, syndemic, and endemic health inequalities.The Lancet. Public health · 2022Review
- Municipal Ethnic Composition and Disparities in COVID-19 Infections in New Jersey: A Blinder-Oaxaca Decomposition Analysis.International journal of environmental research and public health · 2022Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
The main objective of this work is to analyze whether inequality in income distribution has an effect on COVID-19 incidence and mortality rates during the first wave of the pandemic, and how the public health system mitigates these effects. To this end, the case of 819 Spanish municipalities is used, and a linear cross-sectional model is estimated. The results obtained allow us to conclude that a higher level of income inequality generates a higher rate of infections but not deaths, highlighting the importance of the Spanish National Health Service, which does not distinguish by income level. Likewise, early detection of infection measured by the number of primary care centers per 100,000 inhabitants, access to health care for the treatment of the most severe cases, unemployment as a proxy for job insecurity, climatic conditions, and population density are also important factors that determine how COVID-19 affects the population.
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Registered trials
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