Mapping safe drinking water use in low- and middle-income countries

Safe drinking water access is a human right, but data on safely managed drinking water services (SMDWS) is lacking for more than half of the global population. We estimate SMDWS use in 135 low- and middle-income countries (LMICs) at subnational levels with a geospatial modeling approach, combining existing household survey data with available global geospatial datasets. We estimate that only one in three people used SMDWS in LMICs in 2020 and identified fecal contamination as the primary limiting factor affecting almost half of the population of LMICs. Our results are relevant for raising awareness about the challenges and limitations of current global monitoring approaches and demonstrating how globally available geospatial data can be leveraged to fill data gaps and identify priority areas in LMICs.

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Publication Details

Journal
Science
Published
2024-08-15
DOI
https://doi.org/10.1126/science.adh9578
Citations
100
Primary Topic
Urban Stormwater Management Solutions
Type
article
Field-Weighted Citation Impact
20.57
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article

Mapping safe drinking water use in low- and middle-income countries

Rick Johnston, Robert Bain, Ayça Dönmez, Timothy R. Julian et al.
100 citations
Science
Urban Stormwater Management Solutions
20.57
article

Mapping safe drinking water use in low- and middle-income countries

Rick Johnston, Robert Bain, Ayça Dönmez, Timothy R. Julian, Johan van den Hoogen, T. Bruce Lauber, Thomas Ward Crowther, Esther E. Greenwood
article en
100 citations

Abstract

Safe drinking water access is a human right, but data on safely managed drinking water services (SMDWS) is lacking for more than half of the global population. We estimate SMDWS use in 135 low- and middle-income countries (LMICs) at subnational levels with a geospatial modeling approach, combining existing household survey data with available global geospatial datasets. We estimate that only one in three people used SMDWS in LMICs in 2020 and identified fecal contamination as the primary limiting factor affecting almost half of the population of LMICs. Our results are relevant for raising awareness about the challenges and limitations of current global monitoring approaches and demonstrating how globally available geospatial data can be leveraged to fill data gaps and identify priority areas in LMICs.

ScienceVol. 385(6710)
United Nations Children's Fund (US), Swiss Tropical and Public Health Institute (CH), University of Basel (CH), ETH Zurich (CH), World Health Organization (CH), Swiss Federal Institute of Aquatic Science and Technology (CH), Middle East University (JO)
Clean water and sanitation
Openalex Percentile: Top 0%
Urban Stormwater Management Solutions
20.57
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Mapping safe drinking water use in low- and middle-income countries — Rick Johnston, Robert Bain, et al. · Science (2024) | TGRS Research Map | TGRS