Geo-spatial modeling of access to water and sanitation in Nigeria

Author:

Ajisegiri Benson1,Andres Luis A.2,Bhatt Samir3,Dasgupta Basab4,Echenique Juan A.5,Gething Peter W.6,Zabludovsky Jonathan Grabinsky2,Joseph George2

Affiliation:

1. Federal Ministry of Water Resources, Nigeria

2. World Bank Water Global Practice, Washington, DC, USA

3. Imperial College London, London, UK

4. Social Impact, Impact Evaluation Division, Arlington, Virginia, USA

5. School of Public Policy, University of Maryland, College Park, Maryland, USA

6. Big Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK

Abstract

Abstract The paper presents the development and implementation of a geo-spatial model for mapping populations’ access to specified types of water and sanitation services in Nigeria. The analysis uses geo-referenced, population-representative data from the National Water and Sanitation Survey 2015, along with relevant geo-spatial covariates. The model generates predictions for levels of access to seven indicators of water and sanitation services across Nigeria at a resolution of 1 × 1 km2. Overall, the findings suggest a sharp urban–rural divide in terms of access to improved water, basic water, and improved water on premises, a low availability of piped water on premises and of sewerage systems throughout the country, a high concentration of improved sanitation in select states, and low rates of nationwide open defecation, with a few pockets of high rates of open defecation in the central and southern non-coastal regions. Predictions promise to hone the targeting of policies meant to improve access to basic services in various regions of the country. This article has been made Open Access thanks to the generous support of a global network of libraries as part of the Knowledge Unlatched Select initiative.

Publisher

IWA Publishing

Subject

Public Health, Environmental and Occupational Health,Pollution,Waste Management and Disposal,Water Science and Technology,Development

Reference33 articles.

1. Mapping malaria transmission intensity in Malawi, 2000–2010;Am. J. Trop. Med. Hyg.,2013

2. Blankespoor B. & van der WeideR.2017Mapping Access to Water and Sanitation Using Small Area Estimation Methods: With Applications to Bangladesh and Nigeria. Unpublished manuscript.

3. Burgert-Brucker C. R. , DontamsettiT., MashallA. & GethingP. W.2016Guidance for Use of the DHS Program Modeled Map Surfaces. DHS Spatial Analysis Reports No. 14. ICF International, Rockville, Maryland, USA.

4. Center for international Earth Science Information Network – CIESIN – Columbia University, International Food Policy Research Institute – IFPRI, The World Bank, and Centro Internacional de Agricultura Tropical – CIAT 2011 Global Rural-Urban Mapping Project, Version 1 (GRUMPv1): Population Density Grid. NASA Socioeconomic Data and Applications Center, Palisades, NY.

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