Dataset used in the analysis "Household water handling practices and microbial water quality in informal settlements of Kibera, Kenya"
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. 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. 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.
Keywords
Water resources; Water quality; Escherichia coli; Chlorine; Water pollution; Diarrhea; Storage and handling; Water management| Item Type | Dataset |
|---|---|
| Resource Type |
Resource Type Resource Description Dataset Quantitative |
| Capture method | Questionnaire |
| Date | 10 July 2026 |
| Language(s) of written materials | English |
| Creator(s) |
Musyoka, D |
| LSHTM Faculty/Department | Faculty of Public Health and Policy > Dept of Health Services Research and Policy |
| Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
| Date Deposited | 22 Jul 2026 09:19 |
| Last Modified | 22 Jul 2026 09:19 |
| Publisher | PLOS Water |
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- Data record - Figshare (Data)
- Data download – Figshare (Online Data Resource)
- Code record - Figshare (Data)
- Code download - Figshare (Data)
- Collection record - Figshare (Data)