Temperature‑Related Health Impacts: A Scoping Review and Benchmarking Exercise to Inform a Heat Action Plan

<i>Background:</i> Global heating is associated with adverse health impacts necessitating the implementation of Heat Action Plans (HAPs) to protect communities. Gauteng in South Africa is the most populated province, housing three cities (i.e., Johannesburg, Ekurhuleni, and Pretoria) and 25% of the national population. <i>Objective:</i> Given rising temperatures and projected increases in heatwaves and hot days, we gathered literature and case studies to inform the development of a Gauteng HAP. <i>Methods:</i> We conducted a scoping review to inform baseline data on heat-related health impacts for Gauteng and South Africa too, followed by a benchmarking exercise that aimed to identify international best practices that may inform Gauteng's plan. Benchmarking was done using Maharashtra (India), Victoria (Australia), and Khyber Pakhtunkhwa (Pakistan). <i>Findings:</i> Thirty-six studies were included in the review, with 13 including Gauteng data and all showing impacts of heat on human health. Most studies applied epidemiological time series linking meteorological exposure (temperature/heat indices) and/or air pollutants (e.g., PM<sub>2.5</sub>, PM<sub>10</sub>, NO<sub>2</sub>, and O<sub>3</sub>) with health outcomes; applied remote-sensing, reanalysis, or station data for exposure assessment; and used regression or distributed lag models. The benchmarking exercise identified exemplars' distinctive strengths: Victoria's district thresholds keep activation simple and local-ideal for Gauteng's heterogeneous microclimates across metros and townships. Maharashtra's graded activation and clear departmental roles reduce ambiguity during multi-day heatwaves and thereby would help to align Gauteng Health, Infrastructure, Social Development departments. Khyber Pakhtunkhwa's cooling-camp model shows practical, low-cost interventions of a low- and middle-income country that can be replicated at taxi ranks/clinics/malls during temperature peaks. <i>Conclusions:</i> Insights from the literature and international exemplars provide a strong evidence base and adaptable models to guide a context-specific, multi-sectoral HAP for Gauteng that enhances preparedness, coordination, and community protection in a warming South Africa.

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Publication Details

Journal
Annals of Global Health
Published
2026-01-22
DOI
https://doi.org/10.5334/aogh.5016
Primary Topic
Climate Change and Health Impacts
Type
article
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article

Temperature‑Related Health Impacts: A Scoping Review and Benchmarking Exercise to Inform a Heat Action Plan

Thandi Kapwata, Natasha Naidoo, Muthise Bulani, Caradee Y Wright et al.
Annals of Global Health
Climate Change and Health Impacts
article

Temperature‑Related Health Impacts: A Scoping Review and Benchmarking Exercise to Inform a Heat Action Plan

Thandi Kapwata, Natasha Naidoo, Muthise Bulani, Caradee Y Wright, Viwe Dikoko
article en

Abstract

<i>Background:</i> Global heating is associated with adverse health impacts necessitating the implementation of Heat Action Plans (HAPs) to protect communities. Gauteng in South Africa is the most populated province, housing three cities (i.e., Johannesburg, Ekurhuleni, and Pretoria) and 25% of the national population. <i>Objective:</i> Given rising temperatures and projected increases in heatwaves and hot days, we gathered literature and case studies to inform the development of a Gauteng HAP. <i>Methods:</i> We conducted a scoping review to inform baseline data on heat-related health impacts for Gauteng and South Africa too, followed by a benchmarking exercise that aimed to identify international best practices that may inform Gauteng's plan. Benchmarking was done using Maharashtra (India), Victoria (Australia), and Khyber Pakhtunkhwa (Pakistan). <i>Findings:</i> Thirty-six studies were included in the review, with 13 including Gauteng data and all showing impacts of heat on human health. Most studies applied epidemiological time series linking meteorological exposure (temperature/heat indices) and/or air pollutants (e.g., PM<sub>2.5</sub>, PM<sub>10</sub>, NO<sub>2</sub>, and O<sub>3</sub>) with health outcomes; applied remote-sensing, reanalysis, or station data for exposure assessment; and used regression or distributed lag models. The benchmarking exercise identified exemplars' distinctive strengths: Victoria's district thresholds keep activation simple and local-ideal for Gauteng's heterogeneous microclimates across metros and townships. Maharashtra's graded activation and clear departmental roles reduce ambiguity during multi-day heatwaves and thereby would help to align Gauteng Health, Infrastructure, Social Development departments. Khyber Pakhtunkhwa's cooling-camp model shows practical, low-cost interventions of a low- and middle-income country that can be replicated at taxi ranks/clinics/malls during temperature peaks. <i>Conclusions:</i> Insights from the literature and international exemplars provide a strong evidence base and adaptable models to guide a context-specific, multi-sectoral HAP for Gauteng that enhances preparedness, coordination, and community protection in a warming South Africa.

Annals of Global HealthVol. 92(1)
South African Medical Research Council (ZA), University of Johannesburg (ZA), University of Pretoria (ZA)
Openalex Percentile: Top 82%
Climate Change and Health Impacts
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