Using a dual kernel density estimate as a preliminary evaluation of the spatial distribution of diagnosed chronic kidney disease (CKD) in Edo State, Nigeria
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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.
KeywordsDual kernel density estimate Spatial analysis Chronic kidney disease Edo State
- Akinsola, A., Adelekun, T., & Arogundade, F. (2004). Magnitude of the problem of CRF in Nigerians. African Journal of Nephrology, 8, 24–26.Google Scholar
- Arije, A., Kadiri, S., & Akinkugbe, O. O. (2000). The viability of hemodialysis as a treatment option for renal failure in a developing economy. African Journal of Medicine and Medical Sciences, 29(3–4), 311–314.Google Scholar
- Awoyemi, T. T., Obayelu, O. A., & Opaluwa, H. I. (2011). Effect of distance on utilization of health care services in rural Kogi state, Nigeria. Journal of Human Ecology, 35(1), 1–9.Google Scholar
- Bamgbose, J. A. (2009). Falsification of population census data in a heterogeneous Nigerian state: The fourth republic example. African Journal of Political Science and International Relations, 3, 311–319.Google Scholar
- Carlos, H. A., Shi, X., Sargent, J., Tanski, S., & Berke, E. M. (2010). Density estimation and adaptive bandwidths: A primer for public health practitioners. International Journal of Health Geographics, 9(39). doi: 10.1186/1476-072x-9-39.
- Dobson, J. E., Bright, E. A., Coleman, P. R., Durfee, R. C., & Worley, B. A. (2000). LandScan: A global population database for estimating populations at risk. Photogrammetric Engineering and Remote Sensing, 66(7), 849–857.Google Scholar
- Igah, E., & Okpokpo, E. (1998). The Nigerian demographic problem: The political and economic issues at stake. Acta Geographica, 114, 17–30.Google Scholar
- Kidney Consultants International. (2007). Kidney Care. Kidney Consultants International Retrieved 12 May, 2009, from www.kcinigeria.org.
- Levine, N. (2004). CrimeStat III: A spatial statistics program for the analysis of crime incident locations (version 3.3). Washington, DC: Ned Levine & Associates, Houston, TX, and the National Institute of Justice. Retrieved from http://www.icpsr.umich.edu/CrimeStat/download.html.
- Mak, R. H., & Bakris, G. (2010). Pediatrics masked hypertension: A risk factor in children with CKD. Nature Reviews Nephrology, 6(3), 132–134.Google Scholar
- Nigerian Association of Nephrology. (2007). Nigeria: Report on World Kidney Day 2007 activities. World Kidney Day 2007 event: Nigeria Retrieved 14 December, 2010, from http://worldkidneyday.pavtest.com/UserFiles/File/event07/Nigeria%20activity%20report(1).pdf.
- NPoC. (2005). 2005 Census awareness attitude survey. National Population Commission Executive Summary for CAAS. Retrieved 25 August, 2010, from http://www.population.gov.ng/files/caas_executive_summary.pdf.
- Okolo, A. (1999). The Nigerian census: Problems and prospects. The American Statistician, 53(4), 321–325.Google Scholar