Prevalence of Bronchopulmonary Dysplasia among Infants Using Logistic Regression Model for UMTH and UDUTH Hospitals in Nigeria

Abstract

In this research we investigated the incidence of Bronchopulmonary Dysplasia among Infants using modeling approach. The data used were obtained from University of Maiduguri Teaching Hospital (UMTH), Maiduguri and Usmanu Danfodiyo University Teaching Hospital (UDUTH) Sokoto with sample size of Seventy (70) patients in 2014. Fifty (50) patients were from Maiduguri and Twenty (20) patients from Sokoto. Logistic regression model was employed for the analysis with the help of SPSS. The result of the analysis indicates that the logistic regression model has a perfect classification of five new cases in Sokoto while it has misclassified two 0f five new cases in Maiduguri. This result shows that the prediction of Broncho-Pulmonary Dysplasia is moderately done with logistic model in Maiduguri and is more preferred for the same purpose in Sokoto. The study recommends that Doctors and Clinics should adopt the use of the model built by this research to detect the prevalence of BPD among Infants.