Evidence map›Paper›PMID 32776102›Full record

ArticleJournal of public health (Oxford, England)2020

Impact of COVID-19 outbreak by income: hitting hardest the most deprived.

Jose Miguel Baena-Díez, María Barroso, Sara Isabel Cordeiro-Coelho, Jorge L Díaz, María Grau

Abstract read
In one paragraph

Article in Journal of public health (Oxford, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 118 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
118citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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

118 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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58 more citing papers are in PubMed but not listed here.

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

5 authors.

Jose Miguel Baena-DíezPrimary Care Centre La Marina, Catalan Institute of Health, Barcelona, E-08038, Spain.
María BarrosoCardiovascular Epidemiology and Genetics, IMIM - Hospital del Mar Medical Research Institute, Barcelona, E-08003, Spain.
Sara Isabel Cordeiro-CoelhoPrimary Care Centre La Marina, Catalan Institute of Health, Barcelona, E-08038, Spain.
Jorge L DíazCardiovascular Epidemiology and Genetics, IMIM - Hospital del Mar Medical Research Institute, Barcelona, E-08003, Spain.
María GrauCardiovascular Epidemiology and Genetics, IMIM - Hospital del Mar Medical Research Institute, Barcelona, E-08003, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe impact of the 2019 coronavirus disease (COVID-19) has many facets. This ecological study analysed age-standardized incidence rates by economic level in Barcelona.

methodsWe evaluated confirmed cases of COVID-19 in Barcelona (Spain) between 26 February 2020 and 19 April 2020. Districts were classified according to most recent (2017) mean income data. The reference for estimating age-standardized cumulative incidence rates was the 2018 European population. The association between incidence rate and mean income by district was estimated with the Spearman rho.

resultsThe lower the mean income, the higher the COVID-19 incidence (Spearman rho = 0.83; P value = 0.003). Districts with the lowest mean income had the highest incidence of COVID-19 per 10 000 inhabitants; in contrast, those with the highest income had the lowest incidence. Specifically, the district with the lowest income had 2.5 times greater incidence of the disease, compared with the highest-income district [70 (95% confidence interval 66-73) versus 28 (25-31), respectively].

conclusionsThe incidence of COVID-19 showed an inverse socioeconomic gradient by mean income in the 10 districts of the city of Barcelona. Beyond healthcare for people with the disease, attention must focus on a health strategy for the whole population, particularly in the most deprived areas.

Indexed as

Social ClassCOVID-19Disease OutbreaksFemaleHumansIncidenceIncomeMalePandemicsPoverty AreasSARS-CoV-2Spaincoronavirus infectionsCOVID-19epidemiologyhealthcare disparitiessocioeconomic factors

Identifiers

PMID32776102
PMCPMC7454748

What OpenQuestion holds

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Registered trials

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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.