A cross-sectional ecological study of spatial scale and geographic inequality in access to drinking-water and sanitation
A cross-sectional ecological study of spatial scale and geographic inequality in access to drinking-water and sanitation
Introduction
Measuring inequality in access to safe drinking-water and sanitation is proposed as a component of international monitoring following the expiry of the Millennium Development Goals. This study aims to evaluate the utility of census data in measuring geographic inequality in access to drinking-water and sanitation.
Methods
Spatially referenced census data were acquired for Colombia, South Africa, Egypt, and Uganda, whilst non-spatially referenced census data were acquired for Kenya. Four variants of the dissimilarity index were used to estimate geographic inequality in access to both services using large and small area units in each country through a cross-sectional, ecological study.
Results
Inequality was greatest for piped water in South Africa in 2001 (based on 53 areas (N) with a median population (MP) of 657,015; D?=?0.5599) and lowest for access to an improved water source in Uganda in2008 (N?=?56; MP?=?419,399; D?=?0.2801). For sanitation, inequality was greatest for those lacking any facility in Kenya in 2009 (N?=?158; MP?=?216,992; D?=?0.6981), and lowest for access to an improved facility in Uganda in 2002 (N?=?56; MP?=?341,954; D?=?0.3403). Although dissimilarity index values were greater for smaller areal units, when study countries were ranked in terms of inequality, these ranks remained unaffected by the choice of large or small areal units. International comparability was limited due to definitional and temporal differences between censuses.
Conclusions
This five-country study suggests that patterns of inequality for broad regional units do often reflect inequality in service access at a more local scale. This implies household surveys designed to estimate province-level service coverage can provide valuable insights into geographic inequality at lower levels. In comparison with household surveys, censuses facilitate inequality assessment at different spatial scales, but pose challenges in harmonising water and sanitation typologies across countries.
1-15
Yu, Weiyu
4cca6f0a-badb-4f1c-8b38-da29ba0b9e09
Bain, Robert
c74dff86-c531-4941-9453-77a733634750
Mansour, Shawky
ac8a0201-1b20-43bc-b7fc-3b3c712eb3fd
Wright, Jim A.
94990ecf-f8dd-4649-84f2-b28bf272e464
26 November 2014
Yu, Weiyu
4cca6f0a-badb-4f1c-8b38-da29ba0b9e09
Bain, Robert
c74dff86-c531-4941-9453-77a733634750
Mansour, Shawky
ac8a0201-1b20-43bc-b7fc-3b3c712eb3fd
Wright, Jim A.
94990ecf-f8dd-4649-84f2-b28bf272e464
Yu, Weiyu, Bain, Robert, Mansour, Shawky and Wright, Jim A.
(2014)
A cross-sectional ecological study of spatial scale and geographic inequality in access to drinking-water and sanitation.
International Journal for Equity in Health, 13 (113), .
(doi:10.1186/s12939-014-0113-3).
(PMID:25424327)
Abstract
Introduction
Measuring inequality in access to safe drinking-water and sanitation is proposed as a component of international monitoring following the expiry of the Millennium Development Goals. This study aims to evaluate the utility of census data in measuring geographic inequality in access to drinking-water and sanitation.
Methods
Spatially referenced census data were acquired for Colombia, South Africa, Egypt, and Uganda, whilst non-spatially referenced census data were acquired for Kenya. Four variants of the dissimilarity index were used to estimate geographic inequality in access to both services using large and small area units in each country through a cross-sectional, ecological study.
Results
Inequality was greatest for piped water in South Africa in 2001 (based on 53 areas (N) with a median population (MP) of 657,015; D?=?0.5599) and lowest for access to an improved water source in Uganda in2008 (N?=?56; MP?=?419,399; D?=?0.2801). For sanitation, inequality was greatest for those lacking any facility in Kenya in 2009 (N?=?158; MP?=?216,992; D?=?0.6981), and lowest for access to an improved facility in Uganda in 2002 (N?=?56; MP?=?341,954; D?=?0.3403). Although dissimilarity index values were greater for smaller areal units, when study countries were ranked in terms of inequality, these ranks remained unaffected by the choice of large or small areal units. International comparability was limited due to definitional and temporal differences between censuses.
Conclusions
This five-country study suggests that patterns of inequality for broad regional units do often reflect inequality in service access at a more local scale. This implies household surveys designed to estimate province-level service coverage can provide valuable insights into geographic inequality at lower levels. In comparison with household surveys, censuses facilitate inequality assessment at different spatial scales, but pose challenges in harmonising water and sanitation typologies across countries.
Text
s12939-014-0113-3.pdf
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Published date: 26 November 2014
Organisations:
Population, Health & Wellbeing (PHeW)
Identifiers
Local EPrints ID: 372602
URI: http://eprints.soton.ac.uk/id/eprint/372602
ISSN: 1475-9276
PURE UUID: 08dc99e7-5550-4eaf-af54-dd50a5070b74
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Date deposited: 09 Dec 2014 15:19
Last modified: 15 Mar 2024 03:21
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Contributors
Author:
Robert Bain
Author:
Shawky Mansour
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