Application of Logistic Regressions to Test Equality of Resource Allocation for Malaria Control in Kenya

Abstract

Kenya is one of the developing countries that are hit by malaria cases and its prevalence being experienced more in some regions than others. Researchers and medical organizations have classified the country into five zones (highlands, lake basin, coastal, semi-arid and low risk zones) based on the fever cases recorded. Various strategies and objectives have been formulated with the aim of eliminating the disease from the nation. The laid objectives were based on demarcations of the country into the five zones. Unfortunately, it has been dificult to eradicate the disease. This may be due to the fact that, most resources reserved for prevention and treatment of the fever are injected in areas mapped as Malaria endemic zones only; no serious action is taken in regions marked as non-endemic [WHO15]. This paper will try to test whether it is valid to have disparity in allocating resources for treatment and control of malaria across the country. It will use regression models and odd ratios. It will also focus on certain groups of people in the society who are prone to the fever, and whether the preventive and treatment measures are done in a way that is proportional to the demand in each region. The conclusion will be advices to financiers, donors and governments when allocating resources geared towards achievement of millennium development goal of eliminating the disease in Kenya.