Risk Factors of Prevalence of Malaria in Case of Jimma Town, A Statistical Analysis Rao Agatamudi Lakshmana1, Girma Mosisa1 1Department of Statistics, College of Natural Sciences, Jimma University, Jimma, ETHIOPIA Online published on 8 December, 2017. Abstract This research is done based on the Statistical analysis on risk factors of prevalence of malaria in case of Jimma town, Ginjo guduru kebele, Oromia. Malaria is the most deadly disease caused by Plasmodium parasites. The parasites are spread to people through the bites of infected Anopheles mosquitoes, called malaria vectors. It remains to be a major challenge to public health and socio-economic development worldwide and in sub-Saharan Africa in particular. However, there is still a paucity of information on the occurrence of malaria at the study area. The objective of this study was to investigate the prevalence of malaria and related risk factors in Jimma town Ginjo Kebele. In this research Chi-square test of independence was used to see the association between Status of malaria and the other categorical independent variables. Moreover Binary Logistic regression was used to examine the impact of predictor variables on the prevalence of Malaria in the area. Using Binary logistic regression analysis out of seven categorical predictor variables, four predictor variables, like age of patient, residence of patient, net usage and stagnant water had significant effect on the outcome variable which is status malaria patients. The results of this study revealed that the variables age, residence, stagnant of water and net usage had contributed to malaria status of a patient. Top Keywords Malaria, risk factors, Binary logistic regression and Chi-square test of independence. Top |