Evidence map›Paper›PMID 42009822›Full record

ArticleScientific reports2026

Assessment of bacterial profile of drinking water from different sources in Nekemte and their antibiotic susceptibility pattern, Western Ethiopia.

Desalegn Amenu, Waktole Gobena, Temesgen Tafesse

Abstract read
In one paragraph

Article in Scientific reports, 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

3 authors.

Desalegn AmenuFood Safety and Anthropology Division, Food Microbiology, Ethiopian Public Health Institute, Addia Ababa, Ethiopia. wadadesalegn@gmail.com.
Waktole GobenaFood Safety and Anthropology Division, Food Microbiology, Ethiopian Public Health Institute, Addia Ababa, Ethiopia.
Temesgen TafesseArmauer Hansen Research Institute, Addis Ababa, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Safe drinking water is essential for public health, yet microbial contamination remains a challenge in developing countries. This study evaluated the physicochemical and bacteriological quality of drinking water from 30 sites in Nekemte town, Western Ethiopia, including protected/unprotected springs, tap water, and bottled water. A total of 90 samples (triplicates per site) were followed across different seasons. The APHA (2017) and WHO (2021) drinking water standards were compared in the analysis of physicochemical parameters, including pH, temperature, turbidity, total dissolved solids (TDS), total suspended solids (TSS), and electrical conductivity (EC). The pour plate was used for bacteriological analysis. Total coliforms, fecal coliforms, Enterobacteriaceae, and heterotrophic plate counts were counted. Bacterial isolates were typed to the genus level using standard biochemical tests. The antibiotic sensitivity test was conducted by Kirby-Bauer disc diffusion method on Mueller-Hinton agar according to guidelines of CLSI (2012) employing antibiotic discs (10-30 µg) and Escherichia coli ATCC 25,922 as the control. Physicochemical parameters of all samples fell within WHO acceptable limits (pH: 5.13-6.83; TDS: 28-120.5 mg/L). Yet, bacteriological testing showed contaminant levels above safe levels in both spring and tap water samples. Mean total coliform counts varied between 1.04 ± 0.12 to 3.58 ± 0.21 CFU/100mL (ANOVA, p < 0.05). The bacterial isolates totaled 57, with the majority being Staphylococcus (26.3%), Pseudomonas (19.3%), and Salmonella (15.8%). Interestingly, 41.7% of the isolates were antibiotic resistant to E. coli. In conclusion, the study confirms that most of the water sources in Nekemte Town are not microbiologically safe for consumption. The study portrays the urgent necessity for improved water treatment, improved community hygiene, and frequent microbial pollution monitoring and antibiotic resistance for public protection.

Indexed as

Anti-Bacterial AgentsBacteriaDrinking WaterWater MicrobiologyDrug Resistance, BacterialEthiopiaMicrobial Sensitivity TestsAnti-Bacterial AgentsDrinking WaterAntibiotic susceptibility patternBacterial profileDrinking waterWestern Ethiopia

Identifiers

PMID42009822
PMCPMC13265989

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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.