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Piecewise hazard model for under-five child mortality
Authors: Rakesh Kumar Saroj
Source: BLDE University Journal of Health Sciences, 5(1): 40-45; DOI: 10.4103/bjhs.bjhs_54_19
Topic(s): Childhood mortality
Children under five
Country: Asia
Published: JUL 2020
Abstract: OBJECTIVE: The application of piecewise hazard model in mortality data becomes more useful over classical survival methods. This method is used to find the number of location of cut points and estimate the hazard model. The piecewise hazard model is fitted on National family health survey (NFHS IV) from different variables like socio demographic, biological and proximate co-factors. The aim of the study to describe the piece-wise constant hazard model and find the important factors in under-five child mortality data. METHODS: For the research used the National Family Health Survey-IV data of Uttar Pradesh. The Cox regression analysis is used for finding the important of factors through preliminary analysis. After that, apply the piecewise constant hazard model in those important factors. RESULTS: The piecewise model shows that six month time interval is very crucial for children till completing the five year of the age. The important factors are women's age in years, total children ever born, present breastfeeding, smoking, size of child, delivery by caesarean section, ANC visits, and birth orders in the under-five child mortality. CONCLUSION: Piecewise hazard model is found very important for the under-five child mortality, through the various times cut point. The Piecewise hazard model can be useful for clinicians, researchers and public health experts. Time is very important factor for reducing the child mortality.