Evidence map›Paper›PMID 36067676›Full record

ArticleEconomics and human biology2022

Vulnerability and COVID-19 infection rates: A changing relationship during the first year of the pandemic.

Elena Bárcena-Martín, Julián Molina, Ana Muñoz-Fernández, Salvador Pérez-Moreno

Abstract read
In one paragraph

Article in Economics and human biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Elena Bárcena-MartínApplied Economics Department, Universidad de Málaga, Spain. Electronic address: barcenae@uma.es.
Julián MolinaApplied Economics Department, Universidad de Málaga, Spain.
Ana Muñoz-FernándezApplied Economics Department, Universidad de Málaga, Spain.
Salvador Pérez-MorenoApplied Economics Department, Universidad de Málaga, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the first year of the COVID-19 pandemic, Spain was one of the worst-hit countries, although not all areas and social groups were affected equally. This study focuses on Malaga, a cosmopolitan tourist destination located on the southern Mediterranean coast that has the sixth largest population in Spain. Specifically, it examines the relationship between multidimensional vulnerability and COVID-19 infection rates across the city's census tracts for the period February 2020 to February 2021. The analysis uses high frequency (daily) data on the accumulated incidence of the disease at 14 days and shows that COVID-19 did not spread symmetrically across the census tracts of Malaga but had a greater impact on the most vulnerable neighbourhoods. However, the pattern of this relationship was not uniform in the period examined, with specific contextual factors driving the higher infection rates across time. Our findings show that pandemic containment regulations cannot overlook vulnerability considerations and universal restrictions to reduce the spread of disease should be supplemented by targeted regulations for specific areas.

Indexed as

COVID-19PandemicsHumansIncidenceSARS-CoV-2SpainCensus tractsCOVID-19 infectionsDaily dataMalagaMultidimensional vulnerabilitySpain

Identifiers

PMID36067676
PMCPMC9400383

What OpenQuestion holds

Textmetadata
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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.