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      A long way to go – Estimates of combined water, sanitation and hygiene coverage for 25 sub-Saharan African countries

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          Abstract

          Background

          Water, sanitation and hygiene (WASH) are essential for a healthy and dignified life. International targets to reduce inadequate WASH coverage were set under the Millennium Development Goals (MDGs, 1990–2015) and now the Sustainable Development Goals (SDGs, 2016–2030). The MDGs called for halving the proportion of the population without access to adequate water and sanitation, whereas the SDGs call for universal access, require the progressive reduction of inequalities, and include hygiene in addition to water and sanitation. Estimating access to complete WASH coverage provides a baseline for monitoring during the SDG period. Sub-Saharan Africa (SSA) has among the lowest rates of WASH coverage globally.

          Methods

          The most recent available Demographic Household Survey (DHS) or Multiple Indicator Cluster Survey (MICS) data for 25 countries in SSA were analysed to estimate national and regional coverage for combined water and sanitation (a combined MDG indicator for ‘improved’ access) and combined water with collection time within 30 minutes plus sanitation and hygiene (a combined SDG indicator for ‘basic’ access). Coverage rates were estimated separately for urban and rural populations and for wealth quintiles. Frequency ratios and percentage point differences for urban and rural coverage were calculated to give both relative and absolute measures of urban-rural inequality. Wealth inequalities were assessed by visual examination of coverage across wealth quintiles in urban and rural populations and by calculating concentration indices as standard measures of relative wealth related inequality that give an indication of how unevenly a health indicator is distributed across the wealth distribution.

          Results

          Combined MDG coverage in SSA was 20%, and combined basic SDG coverage was 4%; an estimated 921 million people lacked basic SDG coverage. Relative measures of inequality were higher for combined basic SDG coverage than combined MDG coverage, but absolute inequality was lower. Rural combined basic SDG coverage was close to zero in many countries.

          Conclusions

          Our estimates help to quantify the scale of progress required to achieve universal WASH access in low-income countries, as envisaged under the water and sanitation SDG. Monitoring and reporting changes in the proportion of the national population with access to water, sanitation and hygiene may be useful in focusing WASH policy and investments towards the areas of greatest need.

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          Most cited references25

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          A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010

          The Lancet, 380(9859), 2224-2260
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            Burden of disease from inadequate water, sanitation and hygiene in low- and middle-income settings: a retrospective analysis of data from 145 countries

            Objective To estimate the burden of diarrhoeal diseases from exposure to inadequate water, sanitation and hand hygiene in low- and middle-income settings and provide an overview of the impact on other diseases. Methods For estimating the impact of water, sanitation and hygiene on diarrhoea, we selected exposure levels with both sufficient global exposure data and a matching exposure-risk relationship. Global exposure data were estimated for the year 2012, and risk estimates were taken from the most recent systematic analyses. We estimated attributable deaths and disability-adjusted life years (DALYs) by country, age and sex for inadequate water, sanitation and hand hygiene separately, and as a cluster of risk factors. Uncertainty estimates were computed on the basis of uncertainty surrounding exposure estimates and relative risks. Results In 2012, 502 000 diarrhoea deaths were estimated to be caused by inadequate drinking water and 280 000 deaths by inadequate sanitation. The most likely estimate of disease burden from inadequate hand hygiene amounts to 297 000 deaths. In total, 842 000 diarrhoea deaths are estimated to be caused by this cluster of risk factors, which amounts to 1.5% of the total disease burden and 58% of diarrhoeal diseases. In children under 5 years old, 361 000 deaths could be prevented, representing 5.5% of deaths in that age group. Conclusions This estimate confirms the importance of improving water and sanitation in low- and middle-income settings for the prevention of diarrhoeal disease burden. It also underscores the need for better data on exposure and risk reductions that can be achieved with provision of reliable piped water, community sewage with treatment and hand hygiene.
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              The bounds of the concentration index when the variable of interest is binary, with an application to immunization inequality.

              When the health sector variable whose inequality is being investigated is binary, the minimum and maximum possible values of the concentration index are equal to micro-1 and 1-micro, respectively, where micro is the mean of the variable in question. Thus as the mean increases, the range of the possible values of the concentration index shrinks, tending to zero as the mean tends to one and the concentration index tends to zero. Examples are presented on levels of and inequalities in immunization across 41 developing countries, and on changes in coverage and inequalities in selected countries. Copyright (c) 2004 John Wiley & Sons, Ltd.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                9 February 2017
                2017
                : 12
                : 2
                : e0171783
                Affiliations
                [1 ]London School of Hygiene and Tropical Medicine, Department of Disease Control, Faculty of Infectious and Tropical Diseases, London, United Kingdom
                [2 ]Division of Data, Research and Policy, UNICEF, New York, New York, United States of America
                Leibniz Institute for Prevention Research and Epidemiology BIPS, GERMANY
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                • Conceptualization: RR RB OC.

                • Formal analysis: RR.

                • Methodology: RR RB OC.

                • Visualization: RR RB OC.

                • Writing – original draft: RR.

                • Writing – review & editing: RB OC.

                Author information
                http://orcid.org/0000-0002-5929-3616
                Article
                PONE-D-16-40985
                10.1371/journal.pone.0171783
                5300760
                28182796
                7d30a2e2-5f15-425a-a117-d4c7faa7ae4e
                © 2017 Roche et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 14 October 2016
                : 25 January 2017
                Page count
                Figures: 9, Tables: 3, Pages: 24
                Funding
                The authors received no specific funding for this work.
                Categories
                Research Article
                Medicine and Health Sciences
                Health Care
                Environmental Health
                Sanitation
                Medicine and Health Sciences
                Public and Occupational Health
                Environmental Health
                Sanitation
                Medicine and Health Sciences
                Public and Occupational Health
                Hygiene
                Ecology and Environmental Sciences
                Natural Resources
                Water Resources
                Earth Sciences
                Hydrology
                Surface Water
                People and Places
                Geographical Locations
                Africa
                Ethiopia
                People and Places
                Geographical Locations
                Africa
                Namibia
                People and Places
                Geographical Locations
                Africa
                Rwanda
                People and Places
                Geographical Locations
                Africa
                Liberia
                Custom metadata
                The authors confirm that all data underlying the findings are available without restriction. The data sources used in the analysis can be accessed at www.dhsprogram.com and http://mics.unicef.org.

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                Uncategorized

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