Application of Binary Logistic Analysis of Regression to Determine the Risk Factor of Fever in Children Under Five Years Old In Ethiopia

Abstract

Introduction: Medical care for childhood diseases reduces the risk of death under 5 years of age from common preventable diseases. However, in most low- and middle-income countries, including Ethiopia, the rate of healthcare services seeking child fever is still low. This study aimed to assess the factor of fever based on the Ethiopian Demographic and Health Survey conducted in 2011.
Method: Fever factor analysis was conducted using the Ethiopian Population Statistics and Health Survey conducted in 2011. Descriptive statistics were used to report sample characteristics for exothermic factors. Binomial logistic regression was applied to find the factors related to the column. All variables with odds ratio p values less than 0.05 were considered important determinants of the outcome.
Results: Region, age of children, undergrowth, wasting status, incidence of diarrhea, incidence of coughing, and monthly birth intervals were found to be important determinants of fever.
Conclusion: Technical analysis of the study found that only 19.9% of samples of children under 5 had a fever, while 80.1% did not. The study also found that geography, age-old children, stunted status, wasted status, incidence of diarrhea, cough incidence, and monthly birth intervals were important predictors of fever.