International Journal of Scientific Engineering and Technology
  • Year: 2017
  • Volume: 6
  • Issue: 2

Binary Logistic Regression Model Application: Identification of Factors Associated to MTCT of HIV in Rwanda

  • Author:
  • Cassien Habyarimana1,, Alexandre Lyambabaje2
  • Total Page Count: 6
  • Page Number: 99 to 104

1Integrated Polytechnic Regional Centre, Rwanda

2Inter-University Council for East Africa (IUCEA)

*Corresponding author. Email address: habyarimanacassien@gmail.com

Online published on 17 April, 2017.

Abstract

In this paper, we estimated the HIV infection prevalence and identified the factors associated to HIV free survivals. We have found that the mother's current HIV status and the mother's age are predictor variables which have a significant impact on HIV infection; they are factors significantly associated to MTCT of HIV in Rwanda.

Keywords

Binary Logistic Regression, HIV Infection, Prevalence, Odd Ratio