A LOCALIZED LOGIT MODEL FOR PREDICTING INFANT SURVIVAL OUTCOMES

  • P.O. Agada Department of Mathematics/Statistics/Computer Science, University of Agriculture Makurdi, Benue State,
  • E.F. Udoumoh Department of Mathematics/Statistics/Computer Science, University of Agriculture Makurdi, Benue State,
  • P.A. Odoma Department of Mathematics/Statistics/Computer Science, University of Agriculture Makurdi, Benue State,

Abstract

This study develops a Binary Logistic Model, local to the Maria Goretti hospital Anyigba, Kogi State, Nigeria for predicting infant birth survival outcomes.  Model results shows that the odds of infant survival for normal delivery are 5 times the odds of survival by caesarean delivery, keeping the weight of the infant constant and also that the odds of infant survival increases 3 times for every unit increase in the weight of an infant when the delivery method is kept constant. It was concluded that though, mother’s age which incorporate a maternal characteristic into the model was insignificant in this hospital, there is a chance that it might be significant alongside other maternal characteristics elsewhere. Hence the emphasis on developing localized models of this nature.

Published
2020-01-04
Section
ARTICLES