Survival Analysis of Infant Mortality and Its Associated Determinants in India: A Study Based on National Representative Sample

Name of the Presenting Author: 
Shahbaz Ali
Abstract Content (not more than 300 word, should include: Introduction, Objective, Methodology, critical findings & Conclusion): 
Introduction: Infants are vulnerable to many diseases; where infants are in good health, that area is developing; therefore, the Infant Mortality Rate (IMR) is often taken as a crude indicator of the overall health status of any country. Methods: In this study, a sample of 232920 is taken from Kid’s file of the National Family Health Survey -5 (2019-21). We have utilized bivariate analysis followed by a Cox-proportional hazard model to examine the determinant of IMR in India. Results: The result shows that the cumulative probability of an infant surviving is almost 91 percent. Cox model regression for infant mortality shows that rural women have a higher risk of child mortality compared to urban women (HR=1.05, CI=1.04-1.07, p-value <0.001); education and wealth quintile also significantly impact infant mortality. Conclusion: The results from the Cox regression models showed that wealth index, marital status, place of residence, gender, mother's age at birth, and the size of the child at birth influence the risk of child mortality in India.

Abstract theme:

In case of not been selected for oral presentation, do you want to be considered for the poster presentation ?: 
Yes
Do you require financial support to attend the seminar ? (Not applicable for virtual meet): 
Yes-full
Email of the Presenting Author: 
shahbazali0305@gmail.com
Gender: 
Male
Mobile number of the Presenting Author: 
8434097324
Address & Pincode of the Presenting Author: 
IIPS, Mumbai
Evaluation Status: 
No
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