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Analysis Study Research Paper | Statistics | Saudi Arabia | Volume 13 Issue 5, May 2024 | Rating: 5.5 / 10

Application of Logistic Regression to Determine Important Socioeconomic and Demographic Factors Affecting the Incidence of Malaria in Sennar State, during the Year 2020

Halima Abdullah Alno Eissa Abdulrahman

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<0.05). The research concluded with a number of recommendations, the most important of which are: Paying attention to environmental health and public health programs in Sennar state by providing health care centres and activating environmental sanitation programs and mosquito spray campaigns in the autumn season in particular, increasing the level of awareness among citizens of the dangers of malaria infection and the necessity of medical examination and take the dose.

Keywords: binary logistic regression - malaria diseases - economic and social factors

Edition: Volume 13 Issue 5, May 2024,

Pages: 1825 - 1832