Evidence map›Paper›PMID 42281577›Full record

ArticleHealth science reports2026

Household Water and Sanitation Practices and Their Association With Diarrheal and Acute Respiratory Infections Among Children Under Five in Ghana: A Cross-Sectional Predictive Model and Spatial Analysis.

Yula Salifu, Paul Gyan, Joseph Lasong, Williams Walana

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Article in Health science reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Yula SalifuDepartment of Population, Family and Reproductive Health, School of Public Health University of Ghana Legon Ghana.ORCID https://orcid.org/0000-0003-1223-1765
Paul GyanHealth Facilities Regulatory Agency Ashanti Region Ghana.
Joseph LasongDepartment of Population and Reproductive Health University for Development Studies Tamale Ghana.
Williams WalanaDepartment of Clinical Microbiology, School of Medicine University for Development Studies Tamale Ghana.ORCID https://orcid.org/0000-0002-2938-1332

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Diarrhea and acute respiratory infections (ARI) remain leading causes of under-five morbidity in low- and middle-income countries. Although Ghana achieved improved drinking water and sanitation coverage, significant regional and socioeconomic inequities persist. This study examined the associations between household water, sanitation, and hygiene (WASH) practices and diarrhea, ARI, and their comorbidity among under-five children in Ghana. Methods: A cross-sectional analysis of 6344 children aged 0-59 months from the 2022 Ghana Demographic and Health Survey was conducted. Survey-weighted descriptive statistics and multilevel logistic regression were applied. Predictive performance was assessed using fivefold cluster-preserving cross-validation, Brier scores, calibration slopes, calibration plots, and cross-validated area under the curve (AUC). Spatial patterns were described using choropleth maps, Global Moran's I, Getis-Ord Gi*, and Local Moran's I (LISA). Counterfactual WASH reductions were estimated with bootstrap confidence intervals (200 replicates). A complementary random-effects meta-analysis quantified between-region heterogeneity (I Results: Two-week prevalence of diarrhea, ARI, and comorbidity was 14.4% (95% CI: 12.7%-16.3%), 5.6% (95% CI: 4.7%-6.6%), and 1.8% (95% CI: 1.3%-2.5%), respectively, with a pronounced north-south gradient. No WASH variable reached significance in adjusted multilevel models. Diarrhea was associated with child age 6-35 months, maternal secondary and higher education, and household wealth. ARI was associated with co-occurring diarrhea and stunting. Stunting was the sole significant predictor of comorbidity. Community-level factors explained 21%-35% of variance. Cross-validated AUC was 0.787 (diarrhea), 0.896 (ARI), and 0.577 (comorbidity); calibration slopes were 3.68-11.68 (all poor). Global Moran's I showed no significant spatial autocorrelation for all three outcomes. Improving cooking fuel universally was the only scenario associated with a statistically significant absolute reduction in diarrhea prevalence: 1.4% points (relative reduction 13.9%; 95% CI: 6.2%-21.6%). Conclusions: Household WASH infrastructure showed no significant adjusted association with childhood diarrhea, ARI, or comorbidity after controlling for socioeconomic and nutritional confounders. A pronounced north-south disease gradient calls for geographically targeted, multisectoral interventions. Predictive models demonstrated adequate discrimination but poor calibration, limiting their use to population-level risk stratification.

Indexed as

acute respiratory infectionschildren under fivedemographic and health surveydiarrheaGhanamultilevel modelingpredictive modelingspatial analysisWASH

Identifiers

PMID42281577
PMCPMC13250393

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