Evidence map›Paper›PMID 42204183›Full record

ArticleScientific reports2026

Household-level WASH conditions and waterborne diseases among the Vantangiya Scheduled Tribe in India: A micro-scale spatial analysis.

U Venkatesh, Margubur Rahaman, Arshad Ahmed, Hari Shanker Joshi, Anand Mohan Dixit, Ashoo Grover, Om Prakash Bera, P S Mohan Raj, Suneela Garg

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

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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

U VenkateshDepartment of Community & Family Medicine, All India Institute of Medical Sciences, Gorakhpur, 273008, Uttar Pradesh, India. venkatesh2007mbbs@gmail.com.
Margubur RahamanDepartment of Community & Family Medicine, All India Institute of Medical Sciences, Gorakhpur, 273008, Uttar Pradesh, India.
Arshad AhmedDepartment of Community & Family Medicine, All India Institute of Medical Sciences, Gorakhpur, 273008, Uttar Pradesh, India.
Hari Shanker JoshiRegional Medical Research Centre, Indian Council of Medical Research, Gorakhpur, 273013, Uttar Pradesh, India.
Anand Mohan DixitDepartment of Community & Family Medicine, All India Institute of Medical Sciences, Gorakhpur, 273008, Uttar Pradesh, India.
Ashoo GroverIndian Council of Medical Research, Ansari Nagar, New Delhi, 110029, India.
Om Prakash BeraGlobal Health Advocacy Incubator (GHAI), Washington, DC, 20005, USA.
P S Mohan RajDepartment of Biochemistry, All India Institute of Medical Sciences, Gorakhpur, 273008, Uttar Pradesh, India.
Suneela GargNational Institute of Health & Family Welfare, New Delhi, 110067, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite national progress in water, sanitation and hygiene (WASH), substantial disparities persist among Scheduled Tribe (ST) populations, including the Vantangiya community in Gorakhpur, India. This study assessed household-level WASH conditions and their association with waterborne diseases using a complete survey of 621 households across five villages conducted in 2024. Composite WASH indices were developed based on WHO/UNICEF Joint Monitoring Programme (JMP) indicators, including sanitation access, water source and treatment, and handwashing facilities; associations were analysed using Firth's bias-reduced penalized logistic regression alongside household-level spatial analysis. Only 16% of households demonstrated good WASH conditions; 23% lacked toilet access, 32% relied on unimproved water sources, and 52% lacked handwashing facilities. Poor WASH conditions were associated with significantly higher odds of diarrhoea (aOR: 6.41, 95% CI: 2.08-10.11), typhoid (aOR: 8.91, 95% CI: 5.62-14.00), and any waterborne disease (aOR: 5.10, 95% CI: 1.48-9.89), compared with households with good WASH conditions. Spatial analysis identified statistically significant but very weak spatial autocorrelation, indicating localized heterogeneity rather than strong clustering. Notably, many existing toilets were poorly maintained, reflecting measurable behavioural gaps alongside infrastructure deficits. This finding provides context-specific evidence that WASH inequities remain closely linked to household disease risk. Integrating behavioural-focused interventions with infrastructure improvements may enhance effectiveness. Micro-scale spatial assessment further highlights localized high-risk households, supporting targeted, micro-area WASH interventions integrated within frontline public health delivery systems and aligned with Sustainable Development Goal (SDG) 6 in underserved communities.

Indexed as

HygieneSanitationWaterborne DiseasesDiarrheaFamily CharacteristicsHand DisinfectionHumansIndiaSpatial AnalysisWater SupplyHealth disparitiesIndiaScheduled Tribe (ST)Spatial epidemiologyVantangiya tribal healthWASHWaterborne diseases

Identifiers

PMID42204183
PMCPMC13350806

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