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Modeling the Risks Factors Associated with Infant Mortality in Rwanda from 2011 to 2015: Analysis of Rwanda Demographic and Health Survey (RDHS) 2014/2015
Authors: Biracyaza E, and Habimana S
Source: Journal of Pediatrics & Child Health Care, 4(1): 1026
Topic(s): Infant mortality
Country: Africa
Published: MAR 2019
Abstract: Objective: The study aimed at building a model of infant mortality and its associated risk factors in Rwanda from 2011 to 2015. Method: Cross-sectional survey was conducted using data from 2014/2015 Rwanda Demographic and Health Survey. Target population was women aged 15-49 years from sampled households. All 492 of the clusters selected were surveyed for 2014/2015 RDHS. STATA version 13 was used to analyse the statistical data. Results: Infants from rural areas were 1.54 times more likely to die than in urban areas. Infants born to women aged 14-19 and 20-29 had [OR=1.23(0.62- 2.42; OR=1.23(0.78-1.33)] respectively, were at high risk of death compared to other age groups. Males had 1.15 times higher risk of dying than females. Infants who were not breastfed were 1.98 times more likely to die compared to those who were breastfed. The women aged 30-34 had [OR=0.69(0.54-0.89)], 35-39 was [OR=0.43(0.4-0.46)], 40-44 was [OR=0.06(0.057-0.062)] and 45-49 [OR=0.22(0.21-0.23)]. IM was higher in males [OR=1.15(1.07-1.23)]. Conclusion: The factors associated with IM were grouped into community, ecological, socio-economic and proximate factors and identified that each group consists of multifactor that influence the infant mortality rate. Keywords: Infant mortality; Modeling; Logistic regression; Proximate