Analysis of predictors of malaria mortality among children using a logistic regression model: a case study at Tamale Teaching Hospital
Loading...
Date
2011-06-20
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
The main objective of this study was to apply logistic regressions modeling to analyze predictors of malaria mortality among children. Secondary data was obtained from inpatient morbidity and mortality returns register at Tamale Teaching Hospital, from 1st January 2000 to 31st December 2010. The findings indicated there is a linear relationship between malaria mortality and predictors such as referral status, distance, treatment type and length of stay of children administered as malaria patients at the Tamale Teaching hospital from 2000 – 2010. The overall logistic model obtained was log it (P(y =1) = -3.192 + 2.741Referralstatus+1.947Distance - 0.898Treatment - 0.102Length Again, it was found that the predictors; age, sex and season were not good predictors of malaria mortality. However, the predictors; referral status, distance, treatment type and length of stay were relevant in predicting malaria mortality.
Description
A thesis submitted to the Department of Mathematics, Kwame Nkrumah University of Science and Technology, in partial fulfillment of the requirements for the degree of Master of Philosophy in Mathematics, 2011