Evidence map›Paper›PMID 41385495›Full record

ArticlePloS one2025

Socio-structural determinants of burn injuries in Africa: The role of social inequality, informal housing, and access to clean cooking energy technology.

Paul Terhemba Iorember, Ashley Van Niekerk

Abstract read
In one paragraph

Article in PloS one, 2025. 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

2 authors.

Paul Terhemba IoremberInstitute for Social and Health Sciences, University of South Africa, Johannesburg, South Africa.ORCID https://orcid.org/0000-0002-3092-2378
Ashley Van NiekerkInstitute for Social and Health Sciences, University of South Africa, Johannesburg, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In many African countries, burn injuries often lead to chronic disability, psychological trauma and socio-economic hardship. These consequences have a long-term impact on people's well-being and livelihoods. It is argued that the contributions of selected socio-structural determinants to burns are an important focus especially for population prevention measures. Therefore, this study examines the contribution of key socio-structural determinants to the non-fatal burden of burn injuries in Africa, with a focus on social inequality, informal housing and access to clean cooking energy technologies. The study applies the panel correlated standard errors regression, ordinary least squares regression with robust standard errors with adjusted predictions and marginal effects plots, and the least squares dummy variables analysis using panel data of all five regions of Africa for the period 2000-2022. The study finds that social inequality and informal housing exacerbate the burden of burn injuries in Africa. Conversely, access to clean cooking energy technology reduces this burden. The findings are confirmed by robustness checks. In this regard, the study recommends policies that lower structural inequities to reduce the risk of burns for vulnerable populations. This involves concretizing strategies to reduce poverty and providing more appropriately targeted social safety nets. There is also a need for region-specific strategies that tackle inequality, improve energy accessibility, and enhance housing conditions as a means of mitigating burn-related hazards across Africa.

Indexed as

BurnsCookingHousingAdultAfricaFemaleHumansMalePovertySocioeconomic Factors

Identifiers

PMID41385495
PMCPMC12700400

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.