Evidence map›Paper›PMID 42469730›Full record

ArticleBMC public health2026

Spatial assessment of Water, Sanitation, and Hygiene (WASH) infrastructure, groundwater quality, and their association with childhood diarrhoeal risk in India.

Aaina Murziya, Niharika Tripathi, Praveen Kumar Pathak

Abstract read
In one paragraph

Article in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Aaina MurziyaDepartment of Geography, School of Earth Sciences, Central University of Karnataka, Kalaburagi, India.ORCID http://orcid.org/0009-0003-5461-7866
Niharika TripathiDepartment of Sociology, Indraprastha College for Women, University of Delhi, New Delhi, 110054, India.ORCID http://orcid.org/0000-0002-7502-132X
Praveen Kumar PathakDepartment of Geography, Delhi School of Economics, University of Delhi, 2Centre for the Study of Regional Development, Jawaharlal Nehru University, New Delhi, 110007, India. pathakprave@gmail.com.ORCID http://orcid.org/0000-0003-1571-7859

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiarrhoea has become a leading cause of mortality among young children, especially in low- and middle-income countries. Despite significant developments in Water, Sanitation, and Hygiene (WASH) in recent years, regional disparities persist. This research aims to examine the spatial heterogeneities in the prevalence of diarrhoea across districts in India and explore how unimproved WASH facilities and untreated groundwater quality contribute to diarrhoeal diseases using data from the fifth round of the National Family Health Survey [1] and Central Ground Water Board (CGWB), Government of India, for the corresponding period.

methodsThe spatial clustering of diarrhoea was examined using univariate local indicator of spatial association (LISA) and bivariate LISA maps, and Moran's I statistics. Finally, Ordinary Least Squares Regression (OLS), Spatial Lag Model (SLM), and Spatial Error Model (SEM) were fitted to examine the associations between WASH, groundwater quality, and the risk of diarrhoea. Indeed, spatial regression models revealed significant spatial autocorrelation (SEM λ = 0.560, p < 0.001; SLM ρ = 0.522) and better-fitting models than OLS. The lack of improved sanitation and hygiene was significantly associated with an increased risk of diarrhoea, even after adjusting for spatial autocorrelation.

resultsThe study revealed that more than 75% of children under five years in India reside in households with unimproved WASH facilities. About 7.3% of children under five suffered diarrhoea, with relatively higher prevalence among households lacking improved sanitation and hygiene facilities. Furthermore, about 25% of Indian districts had groundwater quality unsuitable for drinking (highlighting spatial variation across districts/states). LISA maps and Moran's I (0.274, p < 0.01) identified spatial clustering of diarrhoea, with hotspots predominantly located in the eastern and central parts of India.

conclusionsThe findings from our study confirmed that the spatial pattern of diarrhoea was associated with groundwater contamination, particularly in areas with elevated nitrate and total dissolved solids (TDS). Therefore, policymakers are encouraged to make concerted efforts to improve access to quality WASH facilities and enhance groundwater quality to reduce the burden of diarrhoea among children, particularly in India's high-cluster districts.

Indexed as

DiarrheaGroundwaterHygieneSanitationWater QualityWater SupplyChild, PreschoolHumansIndiaInfantPrevalenceRisk AssessmentSpatial AnalysisBivariate LISADiarrhoeaGroundwater qualityIndiaLinear regression modelMoran’s ISpatial error modelSpatial heterogeneitiesSpatial lag modelUnivariate LISAWASH facilities

Identifiers

PMID42469730
PMCPMC13660002

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.