ArticleScientific reports2026
Geospatial analysis of surface water and groundwater quality using GIS in Ishaka subcounty, Bushenyi District, Uganda.
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.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Access to safe drinking water remains a major public health challenge in low- and middle-income countries, particularly in rapidly urbanizing peri-urban settings. This study assessed the spatial variability of physicochemical and microbiological water quality in Ishaka Subcounty, western Uganda, using field-based measurements integrated with Geographic Information Systems (GIS). A total of 49 water samples were analysed for physicochemical parameters (pH, electrical conductivity, total dissolved solids, total suspended solids, temperature, dissolved oxygen, and nitrates) and microbiological indicators (faecal coliforms and Escherichia coli). Spatial interpolation was performed using the Thin Plate Spline method. Results indicate that physicochemical parameters largely complied with WHO and Uganda National Bureau of Standards drinking-water guidelines, while microbiological contamination was widespread and spatially clustered. These findings demonstrate that microbial contamination poses the most significant public health risk despite generally acceptable chemical water quality. The study provides spatially explicit evidence to support targeted water safety interventions and public health planning in similar peri-urban environments.
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.