Evidence map›Paper›PMID 41782668›Full record

ArticleEnvironmental health insights2026

Prevalence and Determinants of Acute Gastrointestinal Illness among Irrigation Farmworkers in Gelan Farm Sites, Sheger City, Ethiopia.

Iyasu Gudisa, Bezatu Mengistie, Adey Feleke Desta, Haile Alemayehu, Sirak Robele Gari

Abstract read
In one paragraph

Article in Environmental health insights, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

5 authors.

Iyasu GudisaDepartment of Biology, Madda Walabu University, Bale Robe, Ethiopia.
Bezatu MengistieInstitute of Water, Environment and Climate Research, Addis Ababa University, Ethiopia.
Adey Feleke DestaDepartment of Microbial Cellular and Molecular Biology, Addis Ababa University, Ethiopia.ORCID https://orcid.org/0000-0001-6431-7363
Haile AlemayehuAklilu Lemma Institute of Health Research, Addis Ababa University, Ethiopia.ORCID https://orcid.org/0000-0002-8012-821X
Sirak Robele GariInstitute of Water, Environment and Climate Research, Addis Ababa University, Ethiopia.ORCID https://orcid.org/0000-0003-0495-4488

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The health risk of exposure to the Akaki River water remains an underrecognized issue among irrigation farmworkers at Gelan Farm Sites. To show the risk, this study assessed the prevalence and determinants of acute gastrointestinal illness (AGI) among these workers. A cross-sectional survey study was conducted between December 13, 2023, and January 8, 2024, within 296 randomly selected farmworkers aged 18 years and above who had been actively engaged in irrigation farming for at least a month. Totally, the prevalence of AGI was about 23% (95% CI: 18.2%-27.8%). In this study, factors such as being married, older age, higher education level, farming experience, and handwashing awareness were protective. The interaction between farming experience and safe water sources, were also protective. On the other hand, residing on the farmland, using untreated river water for cooking, unintentional ingestion of irrigation water, and interaction of river water use with limited access to clean water were AGI-exacerbating factors. For intervention, access to clean water, sanitation facilities, and health education are needed to protect the health and productivity of the workers.

Indexed as

Akaki RiverdiarrheahandwashingnauseaSheger CitySidamo Awash

Identifiers

PMID41782668
PMCPMC12954020

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.