Evidence map›Paper›PMID 40601043›Full record

ArticleInternational journal of biometeorology2025

Quantifying intra-urban socio-economic and environmental vulnerability to extreme heat events in Johannesburg, South Africa.

Craig Parker, Craig Mahlasi, Tamara Govindasamy, Lebohang Radebe, Nicholas Brian Brink, Christopher Jack, Madina Doumbia, Etienne Kouakou, Matthew Chersich, Guéladio Cissé and 2 more

Erratum issuedAbstract read
In one paragraph

Article in International journal of biometeorology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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

5 · Who and what money

Authors and funding

12 authors.

Craig ParkerFaculty of Health Sciences, Wits Planetary Health Research, University of the Witwatersrand, 7 York Road, Parktown, Johannesburg, 2193, South Africa. craig.parker@witsphr.org.
Craig MahlasiIBM Research Africa, Johannesburg, South Africa.
Tamara GovindasamyIBM Research Africa, Johannesburg, South Africa.
Lebohang RadebeFaculty of Health Sciences, Wits Planetary Health Research, University of the Witwatersrand, 7 York Road, Parktown, Johannesburg, 2193, South Africa.
Nicholas Brian BrinkFaculty of Health Sciences, Wits Planetary Health Research, University of the Witwatersrand, 7 York Road, Parktown, Johannesburg, 2193, South Africa.
Christopher JackClimate System Analysis Group, University of Cape Town, Cape Town, South Africa.
Madina DoumbiaUniversity Peleforo Gon Coulibaly, Korhogo, Côte d'Ivoire.
Etienne KouakouCentre Suisse de Recherches Scientifiques, Abidjan, Côte d'Ivoire.
Matthew ChersichFaculty of Health Sciences, Wits Planetary Health Research, University of the Witwatersrand, 7 York Road, Parktown, Johannesburg, 2193, South Africa.
Guéladio CisséUniversity Peleforo Gon Coulibaly, Korhogo, Côte d'Ivoire.
Sibusisiwe MakhanyaIBM Research Africa, Johannesburg, South Africa.
HE2AT Center Group

Funding

The HarmonAIze Project: Pioneering Automated Climate and Health Data Harmonization and IntegrationU54TW012083 · FIC · WITS HEALTH CONSORTIUM (PTY), LTD · PI Matthew Francis Chersich, Stanley Luchters · 2021 to 2026
$7.1M
FIC NIH HHS U54 TW012083
6 · The paper itself

Abstract

Urban populations face increasing vulnerability to extreme heat events, particularly in rapidly urbanising Global South cities where environmental exposure intersects with socioeconomic inequality and limited healthcare access. This study quantifies heat vulnerability across Johannesburg, South Africa, by integrating high-resolution environmental data with socio-economic and health metrics across 135 urban wards. We examine how historical urban development patterns influence contemporary vulnerability distributions using principal component analysis and spatial statistics. Environmental indicators (Land Surface Temperature (LST), vegetation indices, and thermal field variance) were combined with socioeconomic and health variables (including indicators on crowded dwellings and healthcare access, self-reporting of chronic diseases) in a comprehensive vulnerability assessment. Principal Component Analysis revealed three primary dimensions explaining 56.6% (95% CI: 52.4-60.8%) of the total variance: urban heat exposure (31.5%), health status (12.8%), and socio-economic conditions (12.3%). Built-up areas showed weak but significant correlations with heat indices (ρ = 0.28, p < 0.01), while higher poverty levels demonstrated moderate positive correlations with LST (ρ = 0.41, p < 0.001). The spatial analysis identified significant clustering of vulnerability (Global Moran's I = 0.42, p < 0.001), with distinct high-vulnerability clusters in historically disadvantaged areas. Alexandra Township showed the highest vulnerability(HVI score: 0.87, LST: 29.8 °C ± 0.4 °C, NDVI: 0.08 ± 0.02), with factors characterising the high vulnerability in that area including limited healthcare access and extreme heat exposure. Northern suburbs formed a significant low-vulnerability cluster (Mean HVI = 0.23 ± 0.07, p < 0.001), benefiting from greater vegetation coverage and better healthcare access. These findings demonstrate how historical planning decisions continue to shape contemporary environmental health risks, with vulnerability concentrated in areas of limited healthcare access and high extreme heat exposure. Results suggest the need for targeted interventions that address both environmental and social dimensions of heat vulnerability, particularly focusing on expanding healthcare access in identified hotspots and implementing community-scale green infrastructure in high-risk areas. This study provides an evidence-based framework for prioritising heat-resilience initiatives in rapidly urbanising Global South cities while highlighting the importance of addressing historical inequities in urban adaptation planning.

Indexed as

Environmental ExposureExtreme HeatCitiesHealth StatusHumansSocioeconomic FactorsSouth AfricaSpatial AnalysisUrban PopulationClimate adaptationEnvironmental healthEnvironmental justiceHealthcare accessJohannesburgPrincipal component analysisSpatial analysisUrban heat vulnerability

Identifiers

PMID40601043
PMCPMC12540561

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.