The Socio-Spatial Coverage and Inequality of Healthcare Services in Nigeria
Description of Research Project
The geographic coverage of healthcare services is a crucial intermediary structural determinant of good health and its equity. The overarching importance of ensuring the equitable health status and wellbeing of a population is well acknowledged; therefore, the United Nations’ (UN) Sustainable Development Goals (SDG) features an all-embracing health goal with many health-related targets amongst the other SDGs. However, Low and Middle Income Countries (LMICs) are encumbered with a plethora of proximate and distal health-related challenges and issues that make them laggards in meeting the SDGs. These include: large and rapidly increasing populations, often with low Human Development Indices (HDI); high burden of diseases amidst scarce and maldistributed (healthcare) resources; multiple healthcare providers with various (sometimes conflicting) objectives and priorities; and diverse socio-political problem s such as – unstable and oppressive political regimes, poverty and economic instability, as well as stark inequalities in power and income. Furthermore, between and within LMICs is a great diversity of sociocultural and geographic contexts as well as differences in developmental trajectories and economic policies. Nigeria is a typical exemplar of a problematic LMIC, yet the spatial organization of her healthcare services has not received sufficient attention in contemporary times.
Against this backdrop, this doctoral research problematizes and then investigates the socio-spatial coverage and disparities of essential healthcare services in Nigeria with a view to improving their coverage, equity and efficiency through the development and utilization of a bespoke Spatial Decision Support System (SDSS) that is context-sensitive. The designed SDSS automates various sophisticated workflows that integrate many advanced statistical and spatial analytics within the dynamic mod elling environment of contemporary Geographical Information Systems (GIS). These include multiple implementations of GIS-Based Network analyses and Location-Allocation modelling operations among others.
With real datasets of Nigeria, the empirical versatility of the developed SDSS will then be demonstrated by using it to accomplish the following: (1) provide various realistic estimates of select healthcare needs, (2) assess the coverage, equity and efficiency of the healthcare system and (3) create and appraise various realistic scenarios of optimal spatial reconfiguration and/or expansion of the healthcare services. For the forgoing objectives, various indices, tables, graphics and maps that portray relevant measures will be produced and analysed. Finally, to inform the modification and/or creation of relevant evidence-based policies, this study provides a comprehensive account of the broader – cultural, socio-economic and geopolitical contexts that mediate in creati ng and sustaining the paucity and inequities of essential healthcare services in Nigeria.
- Abubakar, E. O., Idoko, O., & Ocholi, O. S. (2017). Efficient Tour Planning for Tourist Sites Visitation in Lokoja, Nigeria: A Multi-Scenario Analysis Using GIS. Journal of Geographic Information System, 9(01), 59. https://doi.org/10.4236/jgis.2017.91005
- Odum, P. O., Adeoye, N. O., Abubakar, E. O. and Idoko, M. A. (2016) Comparative Geospatial Planning Model for “Location Specific” Intervention and Continuous Improvement Strategy. Journal of Geographic Information System, 8, 329-337. http://dx.doi.org/10.4236/jgis.2016.83028
Teaching Assistant: Geographical Analyses (GEOG1018)
Qualifications and Achievement
- Postgraduate Certificate in Research Training, 2017
- M.Sc. Remote Sensing and GIS, 2013
- M.Sc. Geographical Information Systems (GIS), 2012
- B.Tech. Geography (with option Remote Sensing), 2007
- HaSS Research Excellence Academy Studentship (2016 - 2019)
- President, Sub-Saharan African Research Society (SARS), 2017/2018
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