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Mapping safe drinking water use in low- and middle-income countries.
Greenwood, Esther E; Lauber, Thomas; van den Hoogen, Johan; Donmez, Ayca; Bain, Robert E S; Johnston, Richard; Crowther, Thomas W; Julian, Timothy R.
Afiliação
  • Greenwood EE; Department of Environmental Systems Science, ETH Zurich, Swiss Federal Institute of Technology, Zurich, Switzerland.
  • Lauber T; Eawag, Swiss Federal Institute of Aquatic Science and Technology, Dübendorf, Switzerland.
  • van den Hoogen J; Department of Environmental Systems Science, ETH Zurich, Swiss Federal Institute of Technology, Zurich, Switzerland.
  • Donmez A; Department of Environmental Systems Science, ETH Zurich, Swiss Federal Institute of Technology, Zurich, Switzerland.
  • Bain RES; Division of Data, Analytics, Planning and Monitoring, United Nations Children's Fund, New York, NY, USA.
  • Johnston R; Division of Data, Analytics, Planning and Monitoring, United Nations Children's Fund, New York, NY, USA.
  • Crowther TW; Regional Office for the Middle East and North Africa, United Nations Children's Fund, Amman, Jordan.
  • Julian TR; Department of Environment, Climate Change and Health, World Health Organization, Geneva, Switzerland.
Science ; 385(6710): 784-790, 2024 Aug 16.
Article em En | MEDLINE | ID: mdl-39146419
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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Abastecimento de Água / Água Potável / Países em Desenvolvimento / Mapeamento Geográfico Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Abastecimento de Água / Água Potável / Países em Desenvolvimento / Mapeamento Geográfico Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article