Synthesis of water, sanitation, and hygiene (WaSH) spatial pattern in rural India: an integrated interpretation of WaSH practices

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.

Automated summary

Rural areas in India lack improved drinking water, sanitation, and hygiene (WaSH) facilities. This study conducted a household survey using GPS technology to evaluate WaSH conditions in the region and utilized machine learning algorithms for risk mapping and prediction. Results showed that while toilet facilities have improved, there is still a gap between ownership and usage. Factors such as the presence of toilets in houses, water supply in toilets, and high literacy rates were found to increase toilet usage. The study highlights the association between gender inequalities and WaSH conditions, emphasizing the potential of the WaSH index as a monitoring tool.