Evidence map›Paper›PMID 32385126›Full record

ReviewJournal of epidemiology and community health2020

Importance of collecting data on socioeconomic determinants from the early stage of the COVID-19 outbreak onwards.

Saman Khalatbari-Soltani, Robert C Cumming, Cyrille Delpierre, Michelle Kelly-Irving

Abstract readReview
In one paragraph

Review in Journal of epidemiology and community health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 194 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
194citing papers in PubMed, 6 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

194 citing papers in PubMed, 6 syntheses or guidelines pooled it.

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  6. The role of air pollution (PM and NOEnvironmental research · 2020
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134 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

4 authors.

Saman Khalatbari-SoltaniFaculty of Medicine and Health, The University of Sydney School of Public Health, Sydney, Australia saman.khalatbarisoltani@sydney.edu.au.
Robert C CummingThe University of Sydney School of Public Health, Sydney, Australia.
Cyrille DelpierreLEASP, Université Toulouse III Paul Sabatier, Toulouse, France.
Michelle Kelly-IrvingLEASP, Université Toulouse III Paul Sabatier, Toulouse, France.ORCID 0000-0001-5749-4791

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Disadvantaged socioeconomic position (SEP) is widely associated with disease and mortality, and there is no reason to think this will not be the case for the newly emerged coronavirus disease 2019 (COVID-19) that has reached a pandemic level. Individuals with a more disadvantaged SEP are more likely to be affected by most of the known risk factors of COVID-19. SEP has been previously established as a potential determinant of infectious diseases in general. We hypothesise that SEP plays an important role in the COVID-19 pandemic either directly or indirectly via occupation, living conditions, health-related behaviours, presence of comorbidities and immune functioning. However, the influence of socioeconomic factors on COVID-19 transmission, severity and outcomes is not yet known and is subject to scrutiny and investigation. Here we briefly review the extent to which SEP has been considered as one of the potential risk factors of COVID-19. From 29 eligible studies that reported the characteristics of patients with COVID-19 and their potential risk factors, only one study reported the occupational position of patients with mild or severe disease. This brief overview of the literature highlights that important socioeconomic characteristics are being overlooked when data are collected. As COVID-19 spreads worldwide, it is crucial to collect and report data on socioeconomic determinants as well as race/ethnicity to identify high-risk populations. A systematic recording of socioeconomic characteristics of patients with COVID-19 will be beneficial to identify most vulnerable groups, to identify how SEP relates to COVID-19 and to develop equitable public health prevention measures, guidelines and interventions.

Indexed as

CoronavirusData CollectionSocial Determinants of HealthAdultBetacoronavirusComorbidityCoronavirus InfectionsCOVID-19Disease OutbreaksFemaleHealth BehaviorHumansMaleOccupationsPandemicsPneumonia, ViralAgeingCancerEpidemiologyHealth inequalitiesInequalitiesLife course epidemiologyLongitudinal studiesSocial epidemiologySocial inequalitiesStress

Identifiers

PMID32385126
PMCPMC7298202

What OpenQuestion holds

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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.