Coping to Covid-19 in Uttar Pradesh, India: Evidence from NSSO 76<sup>th</sup> Round Data
- 1 Department of Economics, Babasaheb Bhimrao Ambedkar University, Lucknow, India
- 2 Department of Economics, Babasaheb Bhimrao Ambedkar University, Lucknow, India
- 3 Department of Economics, Babasaheb Bhimrao Ambedkar University, Lucknow, India
- 4 Department of Political Science, Parul University, Vadodara, Gujarat
Abstract
This paper aims at identifying key determinants, which influence and motivates households to wash hand on a regular basis with soap and water before taking meal and after open defecation in urban Uttar Pradesh using household-level 76 th round NSSO data (July-December 2018). Binary logistic regression model results show households those are having access to safe and sufficient water throughout the year are also more likely to wash their hands compare to those households that don’t have access to water. Therefore, increasing investment in WASH services would act as an important mechanism to mitigate the secondary effects of Covid-19 in communities.
- Census (2021). District Handbook. Office of the Registrar General & Census Commissioner of India, Ministry of Home Affairs, Government of India.
- ILO & ADB (2020). Tackling the COVID-19 Youth Employment Crisis in Asia and the Pacific (pp. 1-44). International Labour Organization and Asian Development Bank.
- Jamie, A. (2020). Hand Washing Practices among Health Case Workers in Jugal Hospital, Haras, Ethiopia, 2020: In the Era of Corona Virus: Observational Study. Journal of Antivirals & Antiretrovirals, 12, 1-5.
- Koo, J. R., Cook, A. R., Park, M., Sun, Y., Sun, H., & Lim, J. T. (2020). Interventions to Mitigate Early Spread of SARS-CoV-2 in Singapore a Modelling Study. Lancet Infectious Diseases, 20, 678-688. https://doi.org/10.1016/S1473-3099(20)30162-6
- MOSPI (2019). Drinking Water, Sanitation, Hygiene and Housing Condition in India (pp. 1-284). New Delhi: Ministry of Statistics & Programme Implementation. National Statistical Officer, Government of India.
- Singh, S. (2013). MGNREGA: 100 Days Employment Guarantee in Bundelkhand Region (M.P.). International Journal of Management and Development Studies, 2, 1-10.
- Singh, S. (2018). Performance of Indian Agriculture: A State-Level Analysis. Social Science Researcher, 4, 1-16.
- Singh, S. (2019). Determinants of Agriculture Production in Uttar Pradesh, India: A Regional Analysis. Research Review International Journal of Multidisciplinary, 4, 1-14.
- Singh, S. (2020a). Bridging the Gap between Biophysical and Social Vulnerability in Rural India: A Community Livelihood Vulnerability Approach. Area Development and Policy, 5, 390-411. https://doi.org/10.1080/23792949.2020.1734473
- Singh, S. (2020b). Farmers’ Perception of Climate Change and Adaptation Decisions: A Micro-Level Evidence from Bundelkhand Region, India. Ecological Indicators, 116, Article ID: 106475. https://doi.org/10.1016/j.ecolind.2020.106475
- Singh, S. (2020c). Data on Social and Health Vulnerability in Rural India: A Case of Covi-19. Data in Brief, 31, Article ID: 106020. https://doi.org/10.1016/j.dib.2020.106020
- Singh, S. (2020d). Agriculture Development in India: A State-Level Analysis. South Asian Journal of Social Studies and Economics, 6, 17-34. https://doi.org/10.9734/sajsse/2020/v6i230162
- Singh, S., & Sanatan, N. (2018a). Planned Adaptation Strategies and Climate Variability: Evidences from NSSO Households Level Data. Research Review International Journal of Multidisciplinary, 3, 1-14.