Use of Logistic Regression Model to Analyze the Leishmaniasis Disease (Case Study: Gadarif State)

Abstract

This study analyzed data collected during the periods from (January 2006) to (November 2006) Rashid village in Gadarif state. These data represented information about the immunity of Leishmaniasis disease. Three surveys were carried out by the group of researchers from the Institute of Endemic diseases. The main study sample was children of the ages between (6 – 19) years. This study examined the different factors immunity impregnability associated with the disease influence, epidemiology and prevalence. The objective of this study is to use the logistic regression model to determine the immunity factors which is more effectively in disease. This research depends on the Statistical Package for Social Sciences (SPSS) in the analysis and getting the result of the data. The results showed that in this study the female proportion was higher than the male. And the result showed that the Massalet has higher percentage than the other Tribes. Also we could observe that there was a high negative proportion in the tests Leishmanin Skin Test (LST (and Direct Agglutination Test (DAT) and Polymerases Chain Reaction (PCR). From our results and from a statistical view we recommend using Leishmanin Skin Test (LST) and Direct Agglutination Test (DAT) as a good diagnostic tests for Leishmaniasis in Sudan.