Data · dataset · 2026
Dataset used in the analysis "Household water handling practices and microbial water quality in informal settlements of Kibera, Kenya"
Listed in LSHTM Data Compass
Low-income urban areas experience challenges in accessing safe water due to poor infrastructure and illegal connections, leading to microbial contamination and worsening health risks.
Description
This study investigates the association of household water handling practices with microbial drinking water quality in Kibera – the largest urban informal settlement in Nairobi, Kenya. We conducted a cross-sectional study in December 2022 in Kibera with 262 randomly selected households to assess water handling practices, and physicochemical and microbial water quality.
Most households (84%) had Free Chlorine Residual (FCR) below the recommended levels (≥ 0.2 mg/L) indicating insufficient protection against microbial contamination. Water samples from 56% and 15% of households tested positive for total coliforms and E. coli respectively. Only 42% of households treated their drinking water at home.
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Multivariate logistic regression revealed significantly higher odds (AOR = 3.16, p < 0.001) of contaminated drinking water (E. coli or total coliforms) amongst households not treating water. Those maintaining recommended FCR levels had substantially lower odds (AOR = 0.04, p < 0.001) of microbial contamination. In a bivariate sub-analysis, chlorine-based water treatment methods were protective against microbial contamination (OR=0.26, p = 0.025).
In contrast, filtration-based methods were linked to higher odds of contamination (OR=3.25, p = 0.008) and boiling had no effect (p = 0.671). This study underscores the need for public health actors to promote effective and sustained water handling practices, especially for settings at high risk of contamination such as low-income urban areas.
Links
Where it is published
- DOI doi.org/10.1371/journal.pwat.0000577.s005 ↗
DOI / persistent id · from lshtm ac uk
Catalogue records · 1
- OAI-PMH record datacompass.lshtm.ac.uk/cgi/oai2?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3… ↗
metadata API · from lshtm ac uk
Topics
- From keywords
- Earth & Environmental Science · Humanities · Life Sciences · Medicine & Health · Social Science
- Inferred from text
- Crop and pasture production 72%
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| LSHTM Data Compass | oai:datacompass.lshtm.ac.uk:5330 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:3004 | enrichment · lshtm ac uk | taxonomy-embedding@1.0.0 | title+keywords+description (72%) |
| concepts[field].local:field:earth-environmental | mapping · lshtm ac uk | connector:lshtm_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · lshtm ac uk | connector:lshtm_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · lshtm ac uk | connector:lshtm_ac_uk@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · lshtm ac uk | connector:lshtm_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · lshtm ac uk | connector:lshtm_ac_uk@1.0.0 | |
| description | source · lshtm ac uk | connector:lshtm_ac_uk@1.0.0 | /metadata/dc/description |
| publication_date | source · lshtm ac uk | connector:lshtm_ac_uk@1.0.0 | |
| title | source · lshtm ac uk | connector:lshtm_ac_uk@1.0.0 | /metadata/dc/title |