Evidence map›Paper›PMID 36503482›Full record

ArticleBMC public health2022

Socioeconomic differences in COVID-19 infection, hospitalisation and mortality in urban areas in a region in the South of Europe.

Nicolás F Fernández-Martínez, Rafael Ruiz-Montero, Diana Gómez-Barroso, Alejandro Rodríguez-Torronteras, Nicola Lorusso, Inmaculada Salcedo-Leal, Luis Sordo

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
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  3. Observational
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  7. Article
  8. Article
  9. From test to rest: evaluating socioeconomic differences along the COVID-19 care pathway in the Netherlands.The European journal of health economics : HEPAC : health economics in prevention and care · 2024
    Observational
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  15. Variability in excess deaths across countries with different vulnerability during 2020-2023.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 1 country.

Nicolás F Fernández-MartínezUnidad de Gestión Clínica Medicina Preventiva y Salud Pública, Hospital Universitario Reina Sofía, Córdoba, 14004, Spain.
Rafael Ruiz-MonteroUnidad de Gestión Clínica Medicina Preventiva y Salud Pública, Hospital Universitario Reina Sofía, Córdoba, 14004, Spain. rafaelruizmontero@gmail.com.
Diana Gómez-BarrosoCentro Nacional de Epidemiología, Instituto de Salud Carlos III, Madrid, Spain.
Alejandro Rodríguez-TorronterasUnidad de Gestión Clínica Medicina Preventiva y Salud Pública, Hospital Universitario Reina Sofía, Córdoba, 14004, Spain.
Nicola LorussoDirección General de Salud Pública, Consejería de Salud y Consumo, Junta de Andalucía, Spain.
Inmaculada Salcedo-LealUnidad de Gestión Clínica Medicina Preventiva y Salud Pública, Hospital Universitario Reina Sofía, Córdoba, 14004, Spain.
Luis SordoCIBER en Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain.
Hospital Universitario Reina Sofía · ESCentro de Investigación Biomédica en Red de Epidemiología y Salud Pública · ESCentro Nacional de Epidemiología · ESJunta de Andalucía · ES

Funding

Instituto de Salud Carlos III COV20-00881
6 · The paper itself

Abstract

backgroundTo analyse differences in confirmed cases, hospitalisations and deaths due to COVID-19 related to census section socioeconomic variables. 

methodsEcological study in the 12 largest municipalities in Andalusia (Spain) during the first three epidemic waves of the COVID-19 (02/26/20-03/31/21), covering 2,246 census sections (unit of analysis) and 3,027,000 inhabitants. Incidence was calculated, standardised by age and sex, for infection, hospitalisation and deaths based on average gross income per household (AGI) for the census tracts in each urban area. Association studied using a Poisson Bayesian regression model with random effects for spatial smoothing.

resultsThere were 140,743 cases of COVID-19, of which 12,585 were hospitalised and 2,255 died. 95.2% of cases were attributed to the second and third waves, which were jointly analysed. We observed a protective effect of income for infection in 3/12 cities. Almeria had the largest protective effect (smoothed relative risk (SRR) = 0.84 (0.75-0.94 CI 95%). This relationship reappeared with greater magnitude in 10/12 cities for hospitalisation, lowest risk in Algeciras SRR = 0.41 (0.29-0.56). The pattern was repeated for deaths in all urban areas and reached statistical significance in 8 cities. Lowest risk in Dos Hermanas SRR = 0.35 (0.15-0.81).

conclusionsIncome inequalities by geographical area were found in the incidence of COVID-19. The strengths of the association increased when analysing the severe outcomes of hospitalisations and, above all, deaths.

Indexed as

COVID-19Bayes TheoremCitiesHumansSocioeconomic FactorsSpainCOVID-19GeographicalHospitalisationMortalitySocio-economic statusUrbanization

Identifiers

PMID36503482
PMCPMC9742010
OpenAlexW4311663424

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.