Evidence map›Paper›PMID 39027089›Full record

ArticleEnvironmental epidemiology (Philadelphia, Pa.)2024

Association between precipitation and mortality due to diarrheal diseases by climate zone: A multi-country modeling study.

Paul L C Chua, Aurelio Tobias, Lina Madaniyazi, Chris Fook Sheng Ng, Vera Ling Hui Phung, Sze Hang Fu, Peter S Rodriguez, Patrick Brown, Micheline de Sousa Zanotti Stagliorio Coelho, Paulo Hilario Nascimento Saldiva and 11 more

Abstract read
In one paragraph

Article in Environmental epidemiology (Philadelphia, Pa.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 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

21 authors.

Paul L C ChuaDepartment of Global Health Policy, Graduate School of Medicine, University of Tokyo, Bunkyo-ku, Tokyo, Japan.ORCID https://orcid.org/0000-0001-7778-0189
Aurelio TobiasInstitute of Environmental Assessment and Water Research, Spanish Council for Scientific Research, Barcelona, Spain.
Lina MadaniyaziDepartment of Global Health, School of Tropical Medicine and Global Health, Nagasaki University, Nagasaki, Japan.
Chris Fook Sheng NgDepartment of Global Health Policy, Graduate School of Medicine, University of Tokyo, Bunkyo-ku, Tokyo, Japan.
Vera Ling Hui PhungDepartment of Global Health Policy, Graduate School of Medicine, University of Tokyo, Bunkyo-ku, Tokyo, Japan.
Sze Hang FuCentre for Global Health Research, St. Michael's Hospital and University of Toronto, Toronto, Ontario, Canada.
Peter S RodriguezCentre for Global Health Research, St. Michael's Hospital and University of Toronto, Toronto, Ontario, Canada.
Patrick BrownCentre for Global Health Research, St. Michael's Hospital and University of Toronto, Toronto, Ontario, Canada.
Micheline de Sousa Zanotti Stagliorio CoelhoDepartment of Pathology, Faculty of Medicine, University of São Paulo, São Paulo, Brazil.
Paulo Hilario Nascimento SaldivaDepartment of Pathology, Faculty of Medicine, University of São Paulo, São Paulo, Brazil.
Noah ScovronickDepartment of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia.
Aniruddha DeshpandeDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia.
Miguel Antonio S SalazarAlliance for Improving Health Outcomes, Inc., Quezon City, Philippines.
Miguel Manuel C DorotanAlliance for Improving Health Outcomes, Inc., Quezon City, Philippines.
Kraichat TantrakarnapaDepartment of Social and Environmental Medicine, Faculty of Tropical Medicine, Mahidol University, Ratchathewi, Bangkok, Thailand.
Wissanupong KliengchuayDepartment of Social and Environmental Medicine, Faculty of Tropical Medicine, Mahidol University, Ratchathewi, Bangkok, Thailand.
Rosana AbrutzkyInstituto de Investigaciones Gino Germani, Facultad de Ciencias Sociales, Universidad de Buenos Aires, Ciudad Autónoma de Buenos Aires, Argentina.
Gabriel Carrasco-EscobarScripps Institution of Oceanography, University of California, San Diego, California.
Dominic RoyeClimate Research Foundation, Madrid, Spain.
Simon HalesDepartment of Public Health, University of Otago, Newtown, Wellington, New Zealand.
Masahiro HashizumeDepartment of Global Health Policy, Graduate School of Medicine, University of Tokyo, Bunkyo-ku, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Precipitation could affect the transmission of diarrheal diseases. The diverse precipitation patterns across different climates might influence the degree of diarrheal risk from precipitation. This study determined the associations between precipitation and diarrheal mortality in tropical, temperate, and arid climate regions. Methods: Daily counts of diarrheal mortality and 28-day cumulative precipitation from 1997 to 2019 were analyzed across 29 locations in eight middle-income countries (Argentina, Brazil, Costa Rica, India, Peru, the Philippines, South Africa, and Thailand). A two-stage approach was employed: the first stage is conditional Poisson regression models for each location, and the second stage is meta-analysis for pooling location-specific coefficients by climate zone. Results: In tropical climates, higher precipitation increases the risk of diarrheal mortality. Under extremely wet conditions (95th percentile of 28-day cumulative precipitation), diarrheal mortality increased by 17.8% (95% confidence interval [CI] = 10.4%, 25.7%) compared with minimum-risk precipitation. For temperate and arid climates, diarrheal mortality increases in both dry and wet conditions. In extremely dry conditions (fifth percentile of 28-day cumulative precipitation), diarrheal mortality risk increases by 3.8% (95% CI = 1.2%, 6.5%) for temperate and 5.5% (95% CI = 1.0%, 10.2%) for arid climates. Similarly, under extremely wet conditions, diarrheal mortality risk increases by 2.5% (95% CI = -0.1%, 5.1%) for temperate and 4.1% (95% CI = 1.1%, 7.3%) for arid climates. Conclusions: Associations between precipitation and diarrheal mortality exhibit variations across different climate zones. It is crucial to consider climate-specific variations when generating global projections of future precipitation-related diarrheal mortality.

Indexed as

Diarrheal mortalityMeta-analysisPoisson regression modelsPrecipitation

Identifiers

PMID39027089
PMCPMC11257672

What OpenQuestion holds

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LicenceCC BY
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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.