Exploring geographic distributions of high-risk water, sanitation, and hygiene practices and their association with child diarrhea in Uganda
Open accessAbstract
BackgroundHigh-risk water, sanitation, and hygiene (WASH) practices are still prevalent in most low-income countries. Because of limited access to WASH, children may be put at an increased risk of diarrheal diseases.ObjectivesThis study aims to 1) develop a new measure of WASH-induced burden, the WASH Resource Index (WRI), and estimate its correlation with child diarrhea and an additive index of high-risk WASH practices; 2) explore the geographic distribution of high-risk WASH practices, child diarrhea, and summary indices at the cluster level; and 3) examine the association between the WRI and child diarrhea at the individual level.DesignA sample of 7,019 children from the Uganda Demographic and Health Survey 2011 were included in this study. Principal component analysis was used to develop a WRI, and households were classified as WASH poorest, poorer, middle, richer, and richest. A hot spot analysis was conducted to assess whether and how high-risk WASH practices and child diarrhea were geographically clustered. A potential association between the WRI and child diarrhea was examined through a nested regression analysis.ResultsHigh-risk WASH practices were clustered at geographically distant regions from Kampala. The 2-week prevalence of child diarrhea, however, was concentrated in Eastern and East Central regions where high-risk WASH practices were not prevalent. At the individual level, none of the high-risk WASH practices were significantly associated with child diarrhea. Being in the highest WASH quintile was, however, significantly associated with 24.9% lower prevalence of child diarrhea compared to being in the lowest quintile (p<0.05).ConclusionsOnly a weak association was found between the WRI and child diarrhea in this study. Future research should explore the potential utility of the WRI to examine WASH-induced burden.
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In Ghana, availability and access to safe drinking water and proper sanitation depend on several factors, including geographical location.
“in Ghana, availability and access to safe drinking water and proper sanitation depend on several factors, including geographical location.”
From Demographic disparities in unimproved drinking water and sanitation in Ghana: a nationally representative cross-sectional study (2022) · cites this paper as [15]
The Results (Spatial analysis) and Conclusion report geographic differences in drinking-water and sanitation practices within Uganda. They support the geographic-disparity point, but do not establish it for Ghana or identify the several factors on which access there depends. (LLM, conf=0.88)
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- Authors
- Hirai, M., Roess, A., Huang, C., & Graham, J.
- Affiliations
- George Washington University (US)
- Corresponding author
- Hirai, Mitsuaki
- Venue
- Global Health Action
- Publisher
- Informa UK Limited
- Published
- 2016-10-26
- Volume
- 9
- Issue
- 1
- Pages
- 32833-32833
- ISSN
- 1654-9716 (ISSN-L)
- 1654-9880
- PMC
- PMC5084380
- OpenAlex
- W2544367345
- Cited by
- 29
- References
- 29
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 1 · 2023: 2 · 2022: 13 · 2021: 2 · 2020: 3 · 2019: 1 · 2018: 3 · 2017: 1
- FWCI
- 1.74
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Global Health Action (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- eScholarship (California Digital Library) (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion, cc-by)
- Topics
- Health Sciences › Nursing › Nutrition and Dietetics › Child Nutrition and Water Access
- Health Sciences › Medicine › Infectious Diseases › Viral gastroenteritis research and epidemiology
- Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Global Maternal and Child Health
- Keywords
- childhood diarrhea, geographic clustering, household wealth, Uganda, hot spot analysis, principal component analysis
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