Abstract
Sub-Saharan Africa (SSA) has had the highest neonatal mortality rate in the world for the past few decades. In 2021, 27 infants died within the first month of life for every thousand live births in SSA, accounting for 54% of infant deaths (0-12 months) on the continent. Meanwhile, extreme heat events are occurring with increasingly higher frequency in this region due to climate change, worsening the living and health conditions for already vulnerable populations. Despite the prominence of high neonatal mortality rates and the frequent occurrence of extreme weather events in SSA, it remains unclear whether in-utero exposure to extreme heat is a significant contributing factor. Our research investigates this question using granular data on extreme heat and birth records from 33 African countries drawn from the Demographic and Health Surveys. It collects nationally representative, repeated cross-sectional surveys that assess reproductive and health behaviors across the developing countries every 5 years. Employing a measure of heat that simultaneously accounts for the impact of humidity, we show that a cumulative increase of 150 °C in extreme heat exposure during the 9-month pregnancy period is associated with two additional neonatal deaths per thousand live births. Mothers with lower economic status or limited education experience a more pronounced negative impact from exposure to extreme heat, likely due to reduced prenatal care. Our results are relevant to policymakers aiming to curb the negative impacts of climate change by better targeting the victims of extreme heat and developing effective adaptation strategies.
| Original language | English |
|---|---|
| Article number | pgaf240 |
| Number of pages | 11 |
| Journal | PNAS Nexus |
| Volume | 4 |
| Issue number | 8 |
| Early online date | 19 Aug 2025 |
| DOIs | |
| Publication status | Published - Aug 2025 |
Bibliographical note
Publisher Copyright:© 2025 The Author(s). Published by Oxford University Press on behalf of National Academy of Sciences.
Funding
This study was jointly supported by the University of Hong Kong Start-Up Fund for New Professoriate Staff (to J.A.), the Seed Fund for PI Research - Basic Research 2024/25 (to J.A.), the University of Hong Kong HKU-100 Scholars Fund (to B.C.), the Croucher Foundation (grant no. CAS22902/CAS22HU01 to P.G.), the Research Grants Council of the Hong Kong Special Administrative Region (grant no. T35/710/20R to C.L.), and the University of Hong Kong Faculty of Business and Economics and Shenzhen Research Institutes (grant no. SZRI2023-CRF-04 to C.L.).
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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SDG 13 Climate Action
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