Evidence map›Paper›PMID 36819934›Full record

ArticleGeoHealth2023

Geographical Distribution and Social Justice of the COVID-19 Pandemic: The Case of Palma (Balearic Islands).

Maurici Ruiz-Pérez, Alexandre Moragues, Joana Maria Seguí-Pons, Josep Muncunill, Albert Pou Goyanes, Antoni Colom Fernández

Abstract read
In one paragraph

Article in GeoHealth, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Maurici Ruiz-PérezServei de SIG i Teledetecció Universitat de les Illes Balears Palma Spain.ORCID https://orcid.org/0000-0002-5440-214X
Alexandre MoraguesServei de SIG i Teledetecció Universitat de les Illes Balears Palma Spain.ORCID https://orcid.org/0000-0002-2035-5509
Joana Maria Seguí-PonsDepartament de Geografia Universitat de les Illes Balears Palma Spain.ORCID https://orcid.org/0000-0002-2513-8642
Josep MuncunillInstitut d'Investigació Sanitària de les Illes Ballears Palma Spain.ORCID https://orcid.org/0000-0002-7678-0205
Albert Pou GoyanesInstitut d'Investigació Sanitària de les Illes Ballears Palma Spain.ORCID https://orcid.org/0000-0003-0584-0116
Antoni Colom FernándezInstitut d'Investigació Sanitària de les Illes Ballears Palma Spain.ORCID https://orcid.org/0000-0001-5041-0778

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The spatial distribution of the COVID-19 infection rate in the city of Palma (Balearic Islands) is analyzed from the geolocation of positive cases by census tract and its relationship with socioeconomic variables is evaluated. Data on infections have been provided by the Health Service of the Ministry of Health and Consumption of the Government of the Balearic Islands. The study combines several methods of analysis: spatial autocorrelation, calculation of the Gini index and least squares regression, and weighted geographical regression. The results show that the pandemic comprised five waves in the March 2020-March 2022 period, corresponding to the months of April 2020, August 2020, December 2020, July 2021, and January 2022. Each wave shows a particular geographical distribution pattern, however, the second and third waves show higher levels of spatial concentration. In this sense, the second wave, affecting the peripheral neighborhoods of the eastern part of the city. The Gini index confirms geographical imbalances in the distribution of infections in the first waves of the pandemic. In addition, the regression models indicate that the most significant socioeconomic variables in the prediction of COVID-19 infection are average income, percentage of children under 18 years of age, average size of the household, and percentage of single-person households. The study shows that economic imbalances in the city have had a clear influence on the spatial pattern of pandemic distribution. It shows the need to implement spatial justice policies in income distribution to balance the effects of the pandemic.

Indexed as

COVID‐19Palma Mallorcaspatial justicespatial patterntemporal pattern

Identifiers

PMID36819934
PMCPMC9930193

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.