ArticleEnvironmental science and pollution research international2022
Synthesis of water, sanitation, and hygiene (WaSH) spatial pattern in rural India: an integrated interpretation of WaSH practices.
Article in Environmental science and pollution research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
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Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic review of water, sanitation, and hygiene practices in developing countries: exploring the effects on public health.BMC public health · 2026Pooled it
- Water, sanitation, and hygiene challenges and disease burden in eastern India.Journal of water and health · 2025Article
- Assessing Rural Communities in Central and East Africa: How to Provide Clean Water and Sanitation by 2030.Environmental health insights · 2025Article
- Article
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3 authors.
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Abstract
Rural areas largely lack access to improved drinking water, sanitation, and hygiene (WaSH) facilities in India. This requires documentation of WaSH practices at the local level for better understanding and sustainable development. In this paper, a global positioning system (GPS)-based household survey was carried out in 67 villages of Phagi tehsil using individual questionnaires to evaluate the existing WaSH conditions spatially at the panchayat level. Three sub-indices were used for WaSH risk areas mapping and prediction with the integration of machine learning algorithms. Survey results indicate the improvement in the availability of toilet facilities; however, a gap was found between toilet ownership and its usage by villagers. Data show that only six panchayats have almost zero open defecation practices among the 32 panchayats of Phagi tehsil. The findings highlight that presence of toilets in house, water supply in toilets, and high literacy rate lead to an increase in toilet usage by the population. WaSH index scores indicate that panchayats like Mandawari, Mendwas, Chandma Kalan, and Rotwara have worst conditions and fall in the high-risk category. Moreover, support vector machine regression (SVMR) results reveal that WaSH scores are mainly affected by open defecation (r = 0.94), water supply in toilets (r = 0.92), and female members' participation in sanitation facilities decision-making (r = 0.53), followed by literacy rate (r = 0.33). Findings demonstrate the association between gender inequalities and WaSH conditions, and the potential of the WaSH index as a monitoring tool by local policymakers to shrink the WaSH gaps.
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