Evidence map›Paper›PMID 41211605›Full record

ArticleEnvironmental epidemiology (Philadelphia, Pa.)2025

The association between total precipitation and diarrhea morbidity: A multicountry study across diverse climate zones.

Rui Pan, Paul L C Chua, Lina Madaniyazi, Chris Fook Sheng Ng, Aurelio Tobias, Qiang Guo, Vera Ling Hui Phung, Nasif Hossain, Victoria Lynch, Chau-Ren Jung and 9 more

Abstract read
In one paragraph

Article in Environmental epidemiology (Philadelphia, Pa.), 2025. 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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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

19 authors.

Rui PanDepartment of Global Health Policy, Graduate School of Medicine, University of Tokyo, Bunkyo-ku, Tokyo, Japan.ORCID https://orcid.org/0000-0003-4302-9543
Paul L C ChuaDepartment of Global Health Policy, Graduate School of Medicine, University of Tokyo, Bunkyo-ku, Tokyo, Japan.
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.
Aurelio TobiasDepartment of Global Health, School of Tropical Medicine and Global Health, Nagasaki University, Nagasaki, Japan.
Qiang GuoInstitute of Systems and Information Engineering, University of Tsukuba, Tsukuba, Ibaraki, Japan.
Vera Ling Hui PhungDepartment of Global Health Policy, Graduate School of Medicine, University of Tokyo, Bunkyo-ku, Tokyo, Japan.
Nasif HossainDepartment of Global Health Policy, Graduate School of Medicine, University of Tokyo, Bunkyo-ku, Tokyo, Japan.
Victoria LynchDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York City, New York.
Chau-Ren JungDepartment of Public Health, College of Public Health, China Medical University, Taichung City, Taiwan.
Miguel Antonio SalazarGraduate School, Angeles University Foundation, Angeles, Pampanga, Philippines.
Dominic RoyeBiological Mision of Galicia (MBG) - Spanish Council for Scientific Research (CSIC), Pontevedra, Spain.
Dung PhungSchool of Public Health, University of Queensland, Brisbane, Australia.
Micheline de Sousa Zanotti Stagliorio CoêlhoDepartment 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.
Simon HalesDepartment of Public Health, University of Otago, Newtown, Wellington, New Zealand.
Cunrui HuangVanke School of Public Health, Tsinghua University, Beijing, China.
Jan C SemenzaDepartment of Epidemiology and Global Health , Umeå University, Umeå, Sweden.
Masahiro HashizumeDepartment of Global Health Policy, Graduate School of Medicine, University of Tokyo, Bunkyo-ku, Tokyo, Japan.ORCID https://orcid.org/0000-0003-4720-1750

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Although substantial evidence has shown that precipitation is associated with diarrhea in low- and middle-income countries, few multicountry studies have focused on middle- and high-income countries to comprehensively explore the exposure-response curves between precipitation and diarrhea across different countries/regions and climate zones (tropical, arid, temperate, and cold). Methods: We collected weekly diarrhea morbidity data (primarily from hospital visits, hospital admissions, and surveillance systems) and corresponding exposure data (total precipitation and mean temperature) from 904 locations in 39 middle- and high-income countries/regions. To assess location-specific precipitation-diarrhea associations, we fitted time-stratified case-crossover analyses in distributed lag nonlinear models with 8 weeks of lag. Then, we pooled the estimates at the country/region level and by climate zone with multivariate meta-regression analysis. Results: A total of 160,266,691 diarrhea cases were included in the study. The exposure-response association curves between total precipitation and diarrhea varied substantially at the country/region level. For example, U-shaped, J-shaped, or V-shaped curves were observed in Taiwan, Hungary, Germany, Denmark, Mexico, Brazil, and Ecuador. We identified a generally increased trend of diarrhea morbidity risk in the Philippines, Czech Republic, Norway, and USA when total precipitation exceeded the minimum risk level, defined at the first percentile of total precipitation. In China, Japan, Bangladesh, and Vietnam, diarrhea morbidity risk tended to decrease with increasing total precipitation. The country-specific relative risks ranged from 1.02 (95% confidence interval [CI]: 0.88, 1.19) in Finland to 2.67 (95% CI: 2.28, 3.13) in Japan for low levels of total precipitation and from 1.02 (95% CI: 0.93, 1.11) in Ecuador to 2.03 (95% CI: 1.49, 2.76) in Austria for high levels of total precipitation. Overall, associations between precipitation and diarrhea morbidity were stronger in arid regions and weaker in cold regions. Conclusions: Associations between precipitation and diarrhea morbidity differed by country/region and climate zone. This study provides valuable evidence showing that location-specific prevention measures should be considered to mitigate the diarrhea burden associated with precipitation.

Indexed as

Climate zonesDiarrhea diseaseMorbidityTotal precipitation

Identifiers

PMID41211605
PMCPMC12594309

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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.