Evidence map›Paper›PMID 38157021›Full record

ArticleInternational journal of biometeorology2024

Identifying heat thresholds for South Africa towards the development of a heat-health warning system.

Thandi Kapwata, Nada Abdelatif, Noah Scovronick, Michael T Gebreslasie, Fiorella Acquaotta, Caradee Y Wright

Abstract read
In one paragraph

Article in International journal of biometeorology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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

6 authors.

Thandi KapwataEnvironment and Health Research Unit, South African Medical Research Council, Johannesburg, 2028, South Africa. Thandi.Kapwata@mrc.ac.za.ORCID http://orcid.org/0000-0003-2518-6764
Nada AbdelatifBiostatistics Research Unit, South African Medical Research Council, Durban, 4001, South Africa.
Noah ScovronickGangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, 30322, USA.
Michael T GebreslasieSchool of Agriculture, Earth, and Environmental Sciences, University of KwaZulu-Natal, Durban, 3629, South Africa.
Fiorella AcquaottaDepartment of Earth Science, University of Turin, Turin, Italy.
Caradee Y WrightDepartment of Geography, Geoinformatics and Meteorology, University of Pretoria, Pretoria, 0028, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exposure to heatwaves may result in adverse human health impacts. Heat alerts in South Africa are currently based on defined temperature-fixed threshold values for large towns and cities. However, heat-health warning systems (HHWS) should incorporate metrics that have been shown to be effective predictors of negative heat-related health outcomes. This study contributes to the development of a HHWS for South Africa that can potentially minimize heat-related mortality. Distributed lag nonlinear models (DLNM) were used to assess the association between maximum and minimum temperature and diurnal temperature range (DTR) and population-adjusted mortality during summer months, and the effects were presented as incidence rate ratios (IRR). District-level thresholds for the best predictor from these three metrics were estimated with threshold regression. The mortality dataset contained records of daily registered deaths (n = 8,476,532) from 1997 to 2013 and data for the temperature indices were for the same period. Maximum temperature appeared to be the most statistically significant predictor of all-cause mortality with strong associations observed in 40 out of 52 districts. Maximum temperature was associated with increased risk of mortality in all but three of the districts. Our results also found that heat-related mortality was influenced by regional climate because the spatial distribution of the thresholds varied according to the climate zones across the country. On average, districts located in the hot, arid interior provinces of the Northern Cape and North West experienced some of the highest thresholds compared to districts located in temperate interior or coastal provinces. As the effects of climate change become more significant, population exposure to heat is increasing. Therefore, evidence-based HHWS are required to reduce heat-related mortality and morbidity. The exceedance of the maximum temperature thresholds provided in this study could be used to issue heat alerts as part of effective heat health action plans.

Indexed as

Hot TemperatureMortalityCitiesHumansSeasonsSouth AfricaTemperatureHeat-health warning systemsMortalityTemperature metricThresholds

Identifiers

PMID38157021
PMCPMC10794383

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Registered trials

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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.