, Volume 80, Issue 5, pp 711–720 | Cite as

Using a dual kernel density estimate as a preliminary evaluation of the spatial distribution of diagnosed chronic kidney disease (CKD) in Edo State, Nigeria

  • Osaretin Isoken OviasuEmail author


Chronic kidney disease (CKD) is a growing problem in Nigeria, presenting challenges to the nation’s health and economy. This study presents an analysis of 442 patients with CKD referred to the renal department at the University of Benin Teaching Hospital, Nigeria between 2006 and 2009. It investigates the spatial distribution of the disease across the study area using the kernel density estimate to evaluate the spatial distribution of CKD cases within the state. It involves the analysis of the distribution of CKD cases in relation to their underlying population to determine the areas of high and low density of diagnosed CKD cases across the state. The result highlighted the spatial distribution of diagnosed CKD and also highlighted the areas of concern regarding the spatial distribution of diagnosed CKD within the state. The findings derived from this study would be helpful in the preliminary assessment needed for policy-making decisions that pertain to the strategic allocation of resources for CKD treatment within the health sector.


Dual kernel density estimate Spatial analysis Chronic kidney disease Edo State 


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Copyright information

© Springer Science+Business Media Dordrecht 2014

Authors and Affiliations

  1. 1.Regional Centre for Training in Aerospace Surveys (RECTAS)Ile-IfeNigeria

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