Evidence map›Paper›PMID 39888958›Full record

ArticlePLoS medicine2025

Long-term drought and risk of infant mortality in Africa: A cross-sectional study.

Pin Wang, Tormod Rogne, Joshua L Warren, Ernest O Asare, Robert A Akum, N'datchoh E Toure, Joseph S Ross, Kai Chen

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Article in PLoS medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Pin WangDepartment of Environmental Health Sciences, Yale School of Public Health, New Haven, Connecticut, United States of America.ORCID https://orcid.org/0000-0002-8031-8494
Tormod RogneDepartment of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, Connecticut, United States of America.ORCID https://orcid.org/0000-0002-9581-7384
Joshua L WarrenCenter for Perinatal, Pediatric and Environmental Epidemiology, Yale School of Public Health, New Haven, Connecticut, United States of America.ORCID https://orcid.org/0000-0002-6274-6970
Ernest O AsarePublic Health Modeling Unit, Yale School of Public Health, New Haven, Connecticut, United States of America.ORCID https://orcid.org/0000-0003-4078-8755
Robert A AkumDepartment of Geography, SDD University of Business and Integrated Development Studies, Wa, Ghana.ORCID https://orcid.org/0000-0003-4303-019X
N'datchoh E ToureLASMES, UFR SSMT University Felix Houphouet-Boigny Abidjan-Cocody, Abidjan, Côte d'Ivoire.ORCID https://orcid.org/0000-0003-3139-6581
Joseph S RossSection for General Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, United States of America.ORCID https://orcid.org/0000-0002-9218-3320
Kai ChenDepartment of Environmental Health Sciences, Yale School of Public Health, New Haven, Connecticut, United States of America.ORCID https://orcid.org/0000-0002-0164-1112

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Leveraging Physician Networks to Improve Care and Outcomes for Low-Income PopulationsR01HL144644 · NHLBI · YALE UNIVERSITY · PI NDUMELE, CHIMA · 2019 to 2021
$1.6M
AHRQ HHS R01 HS022882AHRQ HHS R01 HS025164FDA HHS U01 FD005938NCATS NIH HHS UL1 TR001863NHLBI NIH HHS R01 HL144644
6 · The paper itself

Abstract

backgroundAs extreme events such as drought and flood are projected to increase in frequency and intensity under climate change, there is still large missing evidence on how drought exposure potentially impacts mortality among young children. This study aimed to investigate the association between drought and risk of infant mortality in Africa, a region highly vulnerable to climate change that bears the heaviest share of the global burden. METHODS AND

findingsIn this cross-sectional study, we obtained data on infant mortality in 34 African countries during 1992-2019 from the Demographic and Health Surveys program. We measured drought by the standardized precipitation evapotranspiration index at a timescale of 24 months and a spatial resolution of 10 × 10 km, which was further dichotomized into mild and severe drought. The association between drought exposure and infant mortality risk was estimated using Cox regression models allowing time-dependent covariates. We further examined whether the association varied for neonatal and post-neonatal mortality and whether there was a delayed association with drought exposure during pregnancy or infancy. The mean (standard deviation) number of months in which children experienced any drought during pregnancy and survival period (from birth through death before 1 year of age) was 4.6 (5.2) and 7.3 (7.4) among cases and non-cases, respectively. Compared to children who did not experience drought, we did not find evidence that any drought exposure was associated with an increased risk of infant mortality (hazard ratio [HR]: 1.02, 95% confidence interval [CI] [1.00, 1.04], p = 0.072). When stratified by drought severity, we found a statistically significant association with severe drought (HR: 1.04; 95% CI [1.01, 1.07], p = 0.015), but no significant association with mild drought (HR: 1.01; 95% CI [0.99, 1.03], p = 0.353), compared to non-exposure to any drought. However, when excluding drought exposure during pregnancy, the association with severe drought was found to be non-significant. In addition, an increased risk of neonatal mortality was associated with severe drought (HR: 1.05; 95% CI [1.01, 1.10], p = 0.019), but not with mild drought (HR: 0.99; 95% CI [0.96, 1.02], p = 0.657).

conclusionsExposure to long-term severe drought was associated with increased infant mortality risk in Africa. Our findings urge more effective adaptation measures and alleviation strategies against the adverse impact of drought on child health.

Indexed as

DroughtsInfant MortalityAfricaClimate ChangeCross-Sectional StudiesFemaleHumansInfantInfant, NewbornMalePregnancyRisk Factors

Identifiers

PMID39888958
PMCPMC11785314

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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.