Evidence map›Paper›PMID 39580499›Full record

ArticleNature communications2024

Burden of infant mortality associated with flood in 37 African countries.

Yixiang Zhu, Cheng He, Jovine Bachwenkizi, Zafar Fatmi, Lu Zhou, Jian Lei, Cong Liu, Haidong Kan, Renjie Chen

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Review
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

9 authors.

Yixiang Zhu *School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai, China.ORCID 0000-0002-3450-0295
Cheng He *School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai, China.ORCID 0000-0002-8470-0834
Jovine BachwenkiziDepartment of Environmental and Occupational Health, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania.
Zafar FatmiDepartment of Community Health Sciences, Aga Khan University, Karachi, Pakistan.ORCID 0000-0001-7212-6858
Lu ZhouSchool of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai, China.
Jian LeiDepartment of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China.
Cong LiuSchool of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai, China.
Haidong KanSchool of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai, China. kanh@fudan.edu.cn.ORCID 0000-0002-1871-8999
Renjie ChenSchool of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai, China. chenrenjie@fudan.edu.cn.ORCID 0000-0002-9448-0820

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Floods are becoming more frequent and severe in the context of climate change, with major impacts on human health. However, their effect on infant mortality remains unknown, particularly in low- and middle-income countries. We conducted a sibling-matched case-control study using individual-level data from Demographic and Health Surveys in Africa during 1990-2020. Individual flood experience was determined by matching the residential coordinates with flood events from the Dartmouth Flood Observatory database. Using data from 514,760 newborns, we found increased risks of infant mortality associated with flood exposure across multiple periods, with the risks remaining elevated for up to four years after the flood event. Overall, flood exposure was associated with 3.42 infant deaths per 1000 births in Africa from 2000 to 2020, approximately 1.7 times the burden associated with life-period exposure. This multi-country study in Africa provides novel evidence that flood events may increase infant mortality risk and burden, even over years after exposure.

Indexed as

FloodsInfant MortalityAfricaCase-Control StudiesClimate ChangeFemaleHumansInfantInfant, NewbornMaleRisk Factors

Identifiers

PMID39580499
PMCPMC11585599

What OpenQuestion holds

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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.