ArticleBMC public health2025
Determinants and geographic distribution of unimproved sanitation facilities in sub-Saharan Africa, spatial and multilevel analysis using demographic and health survey (DHS) data.
Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Predicting household cooking fuel choice in sub-Saharan Africa using supervised machine learning analysis of DHS data from 28 countries.Scientific reports · 2026Article
- Categorization of household drinking water and sanitation service levels and associated determinants in Uganda.Scientific reports · 2026Article
- Article
- Access to and use of improved water and sanitation facilities in Sub-Saharan Africa: Analysis of Demographic and Health Survey Data from 30 countries.PLOS global public health · 2026Article
- Machine learning-based prediction of household sanitation facility access in Sub-Saharan Africa: insights from DHS data (2012-2024).Archives of public health = Archives belges de sante publique · 2025Article
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Authors and funding
7 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundOne-third of the population in sub-Saharan Africa does not have access to adequate hygiene and sanitation facilities. Many still lack decent and functional toilets, impacting health, dignity, and development. Therefore, this study aimed to assess the geographical distribution and factors associated with unimproved sanitation facilities in sub-Saharan Africa.
methodsThis study used Demographic and Health Survey (DHS) data from 500,845 households within 20,492 clusters across 34 sub-Saharan African countries, which were weighted, cleaned, and analysed using STATA version 17. Spatial analyses were conducted using ArcGIS software version 10.7 and Kulldorff's SaTScan software version 10.1. Multilevel analysis was employed to identify contributing factors, with associations presented as adjusted odds ratios and 95% confidence intervals (p < 0.05).
resultsSignificant spatial clustering and hotspots of unimproved sanitation facilities were identified within sub-Saharan Africa. The magnitude of unimproved sanitation facilities in sub-Saharan Africa was 48.88% (95% CI: 48.74-49.02%). The magnitude of unimproved sanitation was lowest in Malawi at 16.70% and highest in Chad at 88.52%. Several individual and community level factors were significantly associated with the utilization of unimproved sanitation facilities. At the individual level, female-headed households and those with access to improved drinking water source were less likely to use unimproved sanitation. In contrast, households headed by individuals aged 11-35 and 36-50 years, divorced households, and households with more than four members were associated with greater use of unimproved sanitation facilities. Additionally, households in the poorest, poorer, middle, and richer wealth categories were also associated with a greater use of unimproved sanitation facilities. Furthermore, households with water sources located in the yard/plot and off-premises had higher odds of using unimproved sanitation. At the community level, rural residence and lack of media exposure were associated with greater use of unimproved sanitation facilities.
conclusionUnimproved sanitation facilities remain a major public health challenge in sub-Saharan Africa, with significant regional disparities and a 48% magnitude. Addressing this issue requires targeted government policies, financial support for sanitation infrastructure, improved water supply, hygiene awareness campaigns, increased media exposure, and better sanitation facilities in rural areas.
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