2020
DOI: 10.1016/s2214-109x(20)30278-3
|View full text |Cite
|
Sign up to set email alerts
|

Mapping geographical inequalities in access to drinking water and sanitation facilities in low-income and middle-income countries, 2000–17

Abstract: Summary Background Universal access to safe drinking water and sanitation facilities is an essential human right, recognised in the Sustainable Development Goals as crucial for preventing disease and improving human wellbeing. Comprehensive, high-resolution estimates are important to inform progress towards achieving this goal. We aimed to produce high-resolution geospatial estimates of access to drinking water and sanitation facilities. Methods We used a B… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

7
96
0
2

Year Published

2020
2020
2024
2024

Publication Types

Select...
8
1

Relationship

2
7

Authors

Journals

citations
Cited by 129 publications
(116 citation statements)
references
References 48 publications
7
96
0
2
Order By: Relevance
“…As policymakers and program implementers scale-up the immediate distribution of emergency WASH supplies, we encourage deeper consideration of how these activities can be transitioned into targeted, sustainable, long-term WASH investments. High-resolution geospatial mapping of water and sanitation access, like those produced by the Local Burden of Disease WaSH Collaborators in 2020, can provide sub-national guidance on priority regions ( Deshpande et al, 2020 ). Although solutions should be tailored to local needs and constraints, it is clear that most communities will benefit from improvements in both water infrastructure and water governance, and also the way water managers distribute water and remain responsive to the needs of diverse users.…”
Section: Discussionmentioning
confidence: 99%
“…As policymakers and program implementers scale-up the immediate distribution of emergency WASH supplies, we encourage deeper consideration of how these activities can be transitioned into targeted, sustainable, long-term WASH investments. High-resolution geospatial mapping of water and sanitation access, like those produced by the Local Burden of Disease WaSH Collaborators in 2020, can provide sub-national guidance on priority regions ( Deshpande et al, 2020 ). Although solutions should be tailored to local needs and constraints, it is clear that most communities will benefit from improvements in both water infrastructure and water governance, and also the way water managers distribute water and remain responsive to the needs of diverse users.…”
Section: Discussionmentioning
confidence: 99%
“…Estimated water and sanitation indicators remain poor in South Sudan; only 36·7% of the population had access to improved water and 9·9% had access to improved sanitation in 2017. 2 South Sudan will probably continue to remain at risk of introductions of cholera from other countries in the region, which could then lead to large-scale spread. Broad use of oral cholera vaccine combined with local WASH interventions might provide a stopgap over the coming years to block transmission while much-needed investments in water and sanitation are made.…”
Section: Discussionmentioning
confidence: 99%
“…Universal access to water and sanitation would probably eliminate cholera transmission but is unlikely given the pace of progress and financial commitments. 2 …”
Section: Introductionmentioning
confidence: 99%
“…Finally, the modelling framework can be applied to update the subnational estimates and evaluate progress as new data sources becomes available such as the recently concluded population census in Kenya (2019). 55 108 We compared our estimates with previous estimates generated from similar and comparable studies that computed the prevalence of wasting, stunting and underweight, access to improved water sources, coverage of DPT3 (for the period 2000-2014) [125][126][127] and skilled birth attendance (SBA) (for the period 2014) 128 (online supplemental file 6). The estimates were highly correlated and generally with good concordance, identifying and ranking nearly all similar counties with the highest coverage (or lowest disease prevalence) and those with lowest coverage (or highest disease prevalence) (online supplemental file 6).…”
Section: Bmj Global Healthmentioning
confidence: 99%