Application of Logistic Regression to Determine Important Socioeconomic and Demographic Factors Affecting the Incidence of Malaria in Sennar State, during the Year 2020
Abstract: Malaria is considered one of the most serious diseases, with a high-frequency record in health institutions in Sudan in general and Sennar State in particular. This research aims to determine the most important economic and social factors and basic family characteristics that are associated with the incidence of malaria in Sennar State. A logistic regression model was used utilizing data collected randomly from 250 families in Sennar state. The models were evaluated using different statistical techniques. The results revealed that factors that lead to increasing the probability of malaria infection in Sennar state are: (father alive - the marital status - main occupation - relationship with the head of the family - the presence of awareness programs to defeat malaria in the area - the presence of home furniture - availability of food and drinking). All mentioned variables were statistically significant at (p
Keywords: binary logistic regression - malaria diseases - economic and social factors
How to Cite?: Halima Abdullah Alno Eissa Abdulrahman, "Application of Logistic Regression to Determine Important Socioeconomic and Demographic Factors Affecting the Incidence of Malaria in Sennar State, during the Year 2020", Volume 13 Issue 5, May 2024, International Journal of Science and Research (IJSR), Pages: 1825-1832, https://www.ijsr.net/getabstract.php?paperid=SR24527024432, DOI: https://dx.doi.org/10.21275/SR24527024432