Evidence map›Paper›PMID 36060423›Full record

ArticleSustainable cities and society2022

What have we learned about socioeconomic inequalities in the spread of COVID-19? A systematic review.

Francisco Benita, Leonardo Rebollar-Ruelas, Edgar David Gaytán-Alfaro

Abstract read
In one paragraph

Article in Sustainable cities and society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

3 authors.

Francisco BenitaEngineering Systems and Design, Singapore University of Technology and Design, 8 Somapah Road, Singapore 487372, Singapore.
Leonardo Rebollar-RuelasDepartment of Economics, Colegio de la Frontera Norte, Tijuana, Mexico.
Edgar David Gaytán-AlfaroDepartment of Economics, Colegio de la Frontera Norte, Tijuana, Mexico.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article aims to provide a better understanding of the associations between groups of socioeconomic variables and confirmed cases of COVID-19. The focus is on cross-continental differences of reported positive, negative, unclear, or no associations. A systematic review of the literature is conducted on the Web of Science and SCOPUS databases. Our search identifies 314 eligible studies published on or before 31 December 2021. We detect nine groups of frequently used socioeconomic variables and results are presented by region of the world (Africa, Asia, Europe, Middle East, North American and South America). The review expands to describe the most used statistical and modelling techniques as well as inclusion of additional dimensions such as demographic, healthcare weather and mobility. Meanwhile findings agree on the generalized positive impact of population density, per capita GDP and urban areas on transmission of infections, contradictory results have been found concerning to educational level and income.

Indexed as

COVID-19 pandemicCross-continentalSocioeconomic factorsSpatio-temporal analysisSystematic literature review

Identifiers

PMID36060423
PMCPMC9428120

What OpenQuestion holds

Textmetadata
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.