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Assessing the Impacts of Relative Wealth and Geospatial Factors on Water Access in Rural Nepal: A Community Case Study

Author

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  • Naseeha Islam

    (School of Public Health, University of California, Berkeley, CA 94720, USA)

  • Pramesh Koju

    (Department of Community Programs, Dhulikhel Hospital—Kathmandu University Hospital, Dhulikhel 45200, Nepal)

  • Reetu Manandhar

    (Department of Community Programs, Dhulikhel Hospital—Kathmandu University Hospital, Dhulikhel 45200, Nepal)

  • Sudip Shrestha

    (Department of Community Programs, Dhulikhel Hospital—Kathmandu University Hospital, Dhulikhel 45200, Nepal)

  • Charlotte Smith

    (School of Public Health, University of California, Berkeley, CA 94720, USA)

Abstract

As one of the poorest nations, citizens of Nepal lack access to safe, affordable, and sufficient drinking water. While many nationwide studies have been performed at a country or regional level in Nepal to determine regions of the highest vulnerability, this study uniquely recognizes the economic heterogeneity within a single rural village and assesses the impact of household socioeconomic status on water access at the intracommunity level. Household surveys in a rural village setting provided the information for a locally-informed relative wealth index. A spatial analysis determined suitable locations for future installation of improved water sources to prioritize water access for the community’s most vulnerable households. Three sites were shown to be optimal for future water source construction. This study provides a blueprint to assess water inequalities within a single village and incorporate forward-thinking development approaches to water access.

Suggested Citation

  • Naseeha Islam & Pramesh Koju & Reetu Manandhar & Sudip Shrestha & Charlotte Smith, 2020. "Assessing the Impacts of Relative Wealth and Geospatial Factors on Water Access in Rural Nepal: A Community Case Study," IJERPH, MDPI, vol. 17(18), pages 1-13, September.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:18:p:6517-:d:410197
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    References listed on IDEAS

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    1. Hai‐Anh Dang & Dean Jolliffe & Calogero Carletto, 2019. "Data Gaps, Data Incomparability, And Data Imputation: A Review Of Poverty Measurement Methods For Data‐Scarce Environments," Journal of Economic Surveys, Wiley Blackwell, vol. 33(3), pages 757-797, July.
    2. Alua Omarova & Kamshat Tussupova & Peder Hjorth & Marat Kalishev & Raushan Dosmagambetova, 2019. "Water Supply Challenges in Rural Areas: A Case Study from Central Kazakhstan," IJERPH, MDPI, vol. 16(5), pages 1-14, February.
    3. Chao Wang & Jing Pan & Sanni Yaya & Ram Bilash Yadav & Dechao Yao, 2019. "Geographic Inequalities in Accessing Improved Water and Sanitation Facilities in Nepal," IJERPH, MDPI, vol. 16(7), pages 1-13, April.
    4. Jay P Graham & Maneet Kaur & Marc A Jeuland, 2018. "Access to environmental health assets across wealth strata: Evidence from 41 low- and middle-income countries," PLOS ONE, Public Library of Science, vol. 13(11), pages 1-19, November.
    5. Pratibha Bhandari & JeongEun Bak & Kang-Sung Lee & Yun Chon & Anuj Bhattachan & Pradip Rimal & Biswo Ram Shrestha & Binayak Bhandari & Jeong-Ook Moon & Namkyu Wu & Won-Shik Chu & Chul-Ki Song & Caroli, 2019. "Assessment of Socio-Demographic Factors, Mother and Child Health Status, Water, Sanitation, and Hygienic Conditions Existing in a Hilly Rural Village of Nepal," IJERPH, MDPI, vol. 16(20), pages 1-12, October.
    6. Abraham Degarege & Kristopher Fennie & Dawit Degarege & Shasank Chennupati & Purnima Madhivanan, 2019. "Improving socioeconomic status may reduce the burden of malaria in sub Saharan Africa: A systematic review and meta-analysis," PLOS ONE, Public Library of Science, vol. 14(1), pages 1-26, January.
    7. Kamshat Tussupova & Peder Hjorth & Ronny Berndtsson, 2016. "Access to Drinking Water and Sanitation in Rural Kazakhstan," IJERPH, MDPI, vol. 13(11), pages 1-13, November.
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    Cited by:

    1. Shalik Ram Dhital & Catherine Chojenta & Tiffany-Jane Evans & Tri Dev Acharya & Deborah Loxton, 2022. "Prevalence and Correlates of Water, Sanitation, and Hygiene (WASH) and Spatial Distribution of Unimproved WASH in Nepal," IJERPH, MDPI, vol. 19(6), pages 1-16, March.

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