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[00947] Statistical analysis of neonatal mortality predictors in Ghana

  • Session Time & Room : 4D (Aug.24, 15:30-17:10) @E504
  • Type : Contributed Talk
  • Abstract : In this study, we identify and investigate the main factors influencing newborn mortality in the Ghanaian locality and predict the occurrence of future infant mortality based on the 2017 Demographic and Health Survey data using logistic regression. Our work shows that the child’s weight and sex have a strong correlation with its survival. The study reveals that mortality is more than 50% greater in underweight children and also, 62.7% infant deaths happen in infant males.
  • Classification : 62Pxx, 92-11, 92-08, Bio Statistics
  • Format : Online Talk on Zoom
  • Author(s) :
    • Elizabeth Dufie Amankwah (Kwame Nkrumah University of Science and Technology)
    • Juliet Amegble Richardson (Kwame Nkrumah University of Science and Technology)
    • Solomon Kyei Mensah (Kwame Nkrumah University of Science and Technology)