Evidence map›Paper›PMID 41669131›Full record

ArticleAfrican health sciences2025

Water, sanitation, and hygiene (WASH) analysis of Amansea and Ugwuoba livestock market settlements and bacteriological quality investigation of drinking water sources at Amansea, Nigeria.

Gilbert Karngong Nfor, Vincent Nnamdigadi Chigor, Lewis Iheanacho Ezeogu, Cornelius Arome Omatola

Abstract read
In one paragraph

Article in African health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Gilbert Karngong NforWater and Public Health Research Group, Department of Microbiology, University of Nigeria, Nsukka, Nigeria.
Vincent Nnamdigadi ChigorWater and Public Health Research Group, Department of Microbiology, University of Nigeria, Nsukka, Nigeria.
Lewis Iheanacho EzeoguDepartment of Microbiology, Faculty of Biological Sciences, University of Nigeria, Nsukka, Nigeria.
Cornelius Arome OmatolaDepartment of Microbiology, P.M.B. 1008, Kogi State University, Anyigba, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Water, sanitation, and hygiene (WASH) are 3 interconnected drivers of waterborne diseases. This study investigated the WASH status of Amansea and Ugwuoba Livestock Market Settlements (LMSs). Methods: Data on drinking water sources, sanitation and hygiene practices were obtained from randomly selected households in Amansea (140) and Ugwuoba (248) LMSs. In addition, the drinking water samples (borehole and commercial sachet water) were collected monthly (September 2020 - August 2021) from the LMSs for bacteriological analysis. Results: Of the 388 households surveyed, 195 (50%) had access to improved drinking water sources in both LMSs. The households in Amnsea had more of improved drinking water sources compared to those in Ugwuoba (67.1%; 94/140 vs 40.7%; 101/248). Most households in Amansea (64.3%; 90/140) and Ugwuoba (58.5%; 145/248) LMSs practiced open defecation. Large proportions of households in Amansea (75.3%, 61/81) and Ugwuoba (55.0%, 77/140) had inadequate hygiene facilities. The borehole samples had a mean total and faecal coliform counts of 26 CFU/100 mL and 35 CFU/100 mL, respectively, which was undetected in the commercial sachet water. Conclusion: Fewer households in Ugwuoba than Amansea had access to improved drinking water. Most of the households in both LMSs do not have access to improved sanitation, and sanitation facilities. The faecal pollution of the borehole water sources suggests the needs for treatment of drinking water to prevent any possible waterborne outbreak in the area. Further, increased access to improved drinking water, sanitation, and sanitation facilities in both LMSs should be promoted by the relevant government agency.

Indexed as

Drinking WaterHygieneSanitationWater MicrobiologyWater SupplyAnimalsFamily CharacteristicsHumansLivestockNigeriaDrinking Waterfaecal coliformhygienesanitationtotal coliformWater

Identifiers

PMID41669131
PMCPMC12883969

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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.