The role of social learning and wealth in the dynamics of renal failure in Kenya

Authors

  • Josephine Wairimu Kagunda University of Nairobi, Kenya

Abstract

We present a model to investigate the effects of of social learning and wealth in the dynamics of

Renal Failure in Kenya. The model captures the progression of Renal failure from mild sickness, to chronic disease to total renal failure that requires a transplant for the patient. The progression from mild to chronic disease is a function of social learning while the availability of a transplant organ is a function of wealth. Mathematical results reveal the existence of the disease free and endemic equilibrium whose existence and stability depends on the control reproduction number, Rc. The disease persist when the Rc > 1 and dies out when Rc < 1. Control strategies like social learning are shown to be effective tools that reduce the rate of progression to chronic kidney disease and total renal failure, while government subsidies and health insurance cover averts death due to the disease as a transplant will be available when there are resources to pay for the same. We show that a combination of social learning and financial ability to pay for a transplant drastically reduces the number of sick individuals progressing to renal failure and also prevent death due to the disease.

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Author Biography

Josephine Wairimu Kagunda, University of Nairobi, Kenya

Lecturer, Applied Mathematics

School of Mathematics

References

Johnson, R.J., Feehally, J., Floege, J. Comprehensive Clinical Nephrology, Philadelphia, Elsevier/Saunders, 2015.

National Kidney Foundation. K/DOQI Clinical Practice Guidelines for Chronic Kidney Disease: Evaluation, Classification and Stratification. Am J Kidney Dis 39:S1- S266,2002 (suppl 1).

M.K. Haroun, et al., “Risk Factors for Chronic Kidney Disease: A Prospective Study of 23,534 Men and Women in Washington County, Maryland,” J. Am. Soc. Nephrol., vol. 14, (Nov.) 2003, pp. 2934-2941.

Rafael B. F. et. al. Reliability models of chronic kidney disease,

Published in: Reliability and Maintainability Symposium (RAMS), 2016 Annual

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Published

2018-04-07

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Section

Conference Contributions