Evidence map›Paper›PMID 42828254›Full record

ArticleThe journal of climate change and health

Modeling extreme heat-induced neonatal mortality and inequities in relative vulnerabilities in Ghana: distributed lag panel analysis with counterfactual risk estimation; 2008-2025.

Duah Dwomoh, Monica Baaba Jones, Frances Bafua Otoo-Kati, Ben Emunah Aikins, Ama Frimpomaa Boateng, Mawuli Dzodzomenyo

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Article in The journal of climate change and health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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6 authors.

Duah DwomohDepartment of Biostatistics. School of Public Health, University of Ghana, Legon, Ghana.
Monica Baaba JonesMedical & Scientific Research Centre. University of Ghana Medical Centre, Legon, Ghana.
Frances Bafua Otoo-KatiDepartment of Biological, Environmental and Occupational Health Sciences, School of Public Health. University of Ghana, Legon, Ghana.
Ben Emunah AikinsDepartment of Biostatistics. School of Public Health, University of Ghana, Legon, Ghana.
Ama Frimpomaa BoatengMedical & Scientific Research Centre. University of Ghana Medical Centre, Legon, Ghana.
Mawuli DzodzomenyoDepartment of Biological, Environmental and Occupational Health Sciences, School of Public Health. University of Ghana, Legon, Ghana.

Funding

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6 · The paper itself

Abstract

Background: Climate change increasingly threatens maternal, neonatal, and child health, yet evidence on the effect of temperature extremes on neonatal mortality in sub-Saharan Africa remains limited. This study quantified the association between maximum temperature and neonatal mortality and identified high-burden communities across 261 administrative districts in Ghana. Methods: We conducted a longitudinal district-level panel analysis using monthly health and climate data from 261 districts between 2008 and 2025. Extreme temperature effects on neonatal mortality were estimated with Poisson, negative binomial, and quasi-Poisson models, using the number of deliveries as the offset. Counterfactual risk estimates were generated under a median maximum-temperature scenario to assess the contribution of above-median heat exposure to neonatal deaths. Results: A one-unit increase in combined maximum temperature across lags of 0-3 months was associated with a 9% increase in neonatal mortality rates (incidence rate ratio, 1.09; 95% CI, 1.04-1.13). Temperatures above 28.2 °C were linked to significantly higher neonatal mortality than median temperatures. Between 2008 and 2025, an estimated 652 neonatal deaths (95% CI, 516-788) were attributable to exposure above the median maximum temperature. Temperature-related risks varied substantially across districts and regions, with the greatest burden concentrated in Ghana's five northern regions, where median monthly temperatures consistently exceed the national average. Conclusion: Higher maximum temperatures were associated with increased neonatal mortality in Ghana. Targeted heat-adaptive interventions, including enhanced neonatal monitoring during hot months and early warning systems for pregnant women and nursing mothers, should be prioritized in high-exposure districts to effectively reduce preventable heat-related neonatal deaths nationwide.

Indexed as

Extreme heatInequitiesModelingNeonatal mortalityRelative vulnerabilities

Identifiers

PMID42828254
PMCPMC13632083

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