SynthesisPloS one2025
Bacteriological quality of drinking water and its associated factors in Ethiopia: A systematic review and meta-analysis.
Synthesis in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionDrinking contaminated water is a significant cause of mortality and morbidity in Sub-Saharan Africa, where access to safe drinking water is limited. Although numerous studies have investigated the bacteriological quality of drinking water in Ethiopia, their findings have been inconsistent and varied, hindering the implementation of effective water quality monitoring. Moreover, there is a lack of nationwide assessment of the bacteriological quality of drinking water in Ethiopia. Therefore, this systematic review and meta-analysis aimed to determine the bacteriological quality of drinking water and its associated factors in Ethiopia.
methodsAn international electronic database, including PubMed, Science Direct, Global Health, CINAHL, African Journals Online, HINARI, and Google Scholar was employed to retrieve the relevant articles. The study adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols (PRISMA) guidelines. A random-effects model was used to estimate the pooled effect size, and the Egger regression model was employed using STATA 14 software to assess potential publication bias.
resultsA total of 26 studies involving 7,962 water samples met the eligibility criteria for meta-analysis. The pooled prevalence of at least one bacteriological contamination of drinking water was 52.26% (95%CI: 39.09-65.43), with extreme heterogeneity (I2 = 99.7%; p-value < 0.001). The pooled prevalence of total and fecal coliform in drinking water was 49.55% (95% CI: 34.88-64.23) and 44.27% (95%CI: 34.36-54.19), respectively. 14.13% of the water source was at a very high sanitary risk level (unfit for drinking), with significant heterogeneity (I2 = 94.1%, p< 0.001). The absence of household-level water treatment (OR = 3.3; 95%CI: 1.28-5.32) and drawing water using dipping methods (OR = 4.52; 95%CI: 1.71-7.34) were determinant factors for bacteriological contamination of drinking water.
conclusionWe found that the bacteriological quality of drinking water did not comply with the World Health Organization and Ethiopia's standard guidelines for drinking water, which call for urgent intervention. One out of seven water sources was at a high sanitary risk level, which could increase the risk of infectious disease in the country. The absence of household-level water treatment and drawing water using dipping was a significant factor in the bacteriological quality of drinking water. Based on these findings, the water supply and sewerage authority should prioritize regular monitoring of the bacteriological quality of drinking water.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.