Evidence map›Paper›PMID 41501940›Full record

ArticleTropical diseases, travel medicine and vaccines2026

Fecal contamination of drinking water from source to point of use and associated factors among households in Debre-Tabor town, Northwest Ethiopia.

Fikadu Geremew Gebeyehu, Bikes Destaw Bitew, Awrajaw Dessie, Yalew Ebabu Necho, Abraham Teym, Balew Adane, Yenewa Bewket Gelaw

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Article in Tropical diseases, travel medicine and vaccines, 2026. 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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5 · Who and what money

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7 authors.

Fikadu Geremew GebeyehuDepartment of Environmental Health, Debre-Tabor Health Science College, Debre-Tabor, Ethiopia.
Bikes Destaw BitewDepartment of Environmental and Occupational Health and Safety, Institute of Public Health, University of Gondar, Gondar, Ethiopia.
Awrajaw DessieDepartment of Environmental and Occupational Health and Safety, Institute of Public Health, University of Gondar, Gondar, Ethiopia.
Yalew Ebabu NechoDepartment of Environmental Health, College of Medicine and Health Science, Wollo University, Dessie, Ethiopia.
Abraham TeymDepartment of Environmental Health, College of Medicine and Health Science, Debre Markos University, Debre Markos, Ethiopia.
Balew AdaneDepartment of Environmental Health, College of Medicine and Health Science, Debre Markos University, Debre Markos, Ethiopia.
Yenewa Bewket GelawDepartment of Environmental Health, College of Medicine and Health Science, Debre Markos University, Debre Markos, Ethiopia. yenbew@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFaecal contamination of drinking water is a significant environmental determinant of human health.

objectiveTo assess fecal contamination of drinking water from the source to the point of use and associated factors among households in Debre Tabor Town, Northwest Ethiopia, in 2022.

methodsA community-based cross-sectional study was conducted in Debre Tabor Town. A total of 355 water samples were collected and analysed using the membrane filtration method to identify E. coli contamination. These included 27 samples from water sources, 5 from reservoirs, and 323 from household storage containers. A structured and pretested questionnaire was used to identify factors associated with the potential contamination of drinking water in household storage containers. The instrument was piloted on 10% of the planned sample in Woreta, a neighboring town excluded from the main study, about two weeks before data collection to assess clarity, question flow, and respondent understanding. Binary logistic regression analysis was performed to determine the factors associated with the presence or absence of E. coli in household storage containers, with a 95% confidence interval (CI) and a significance level of p ≤ 0.05. The overall goodness of fit for the model was assessed using the Hosmer-Lemeshow test.

resultAmong the water samples analysed, 15 (55.6%) of sources, 1 (20%) of reservoirs, and 187 (57.9%) of households tested positive for E. coli bacteria. Educational status [AOR = 3.53; 95% CI: [1.76, 7.08]], the type of sanitation [AOR = 2.50; 95% CI: [1.41, 4.44]], household water treatment [AOR = 3.80; 95% CI: [1.78, 8.12]], and the sanitary risk score of households’ drinking water storage conditions [AOR = 3.33; 95% CI: [1.33, 8.32]] were significantly associated with the faecal contamination of drinking water at the point of use.

conclusionThe prevalence of fecal contamination of drinking water was high from source to point of use in the study area. Therefore, capacity building through education should be provided for the community on source protection, utilisation of improved sanitation facilities, and water treatment.

Indexed as

Debre-TaborDrinking waterE. coliRisk factorsWater quality

Identifiers

PMID41501940
PMCPMC12781276

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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.