Cited by 29Child Nutrition and Water AccessViral gastroenteritis research and epidemiologyGlobal Maternal and Child Health

Exploring geographic distributions of high-risk water, sanitation, and hygiene practices and their association with child diarrhea in Uganda

Open access
Hirai, Mitsuaki, Roess, Amira, Huang, Cheng, Graham, Jay·2016·Global Health Action

Abstract

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.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.3402/gha.v9.32833

Cites

28 of 28 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • 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)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

1 of the 29 references couldn’t be matched to a known paper.

Research works printed but not linked: 1

  1. [25]Mitchell A The ESRI guide to GIS analysis, volume 2: spatial measurements and statistics 2005 Redlands, CA ESRI Press

Cited by

Sorted by citations

Authors
Hirai, M., Roess, A., Huang, C., & Graham, J.
Affiliations
George Washington University (US)
Corresponding author
Hirai, Mitsuaki
Venue
Global Health Action
Published
2016-10-26
Volume
9
Issue
1
Pages
32833-32833
ISSN
  • 1654-9716 (ISSN-L)
  • 1654-9880
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
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

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review