Clustering of Neonatal Deaths Among Families and Communities in Bangladesh Demographic and Health Survey 2017-18

Ronak Paul, International Institute for Population Sciences (IIPS)
Rashmi Rashmi, International Institute for Population Sciences (IIPS)
Shobhit Srivastava, International Institute for Population Sciences (IIPS)

Despite considerable research and knowledge about the determinants of neonatal mortality, the majority of the children are unable to survive their first birthday. Abundant evidence shows that the risk of dying is never shared equally among the population and some families have a greater risk of neonatal mortality than others. The present study examined the clustering of neonatal deaths among families and communities. We used the full birth history of mothers from the Bangladesh Demographic and Health Survey 2017-18. We performed bivariate analysis and estimated random-intercept Weibull regression models to full the study objectives. The use of survival regression has the added advantage of utilizing censored observations. Further, the use of three-level random-intercept models to account for the variation in the risk of neonatal mortality due to unobserved characteristics at the family level (mother-level) and community level. From preliminary analysis, clustering of neonatal neonatal deaths was observed among children to born same mothers in the same community. Further, the risk of neonatal deaths was correlated among children in the same community. Additionally, death scarring, preceding birth interval and socio-economic status were major factors explaining the risk of neonatal deaths.

Keywords: Mortality, Family demography, Event history analysis, Multi-level modeling

See extended abstract.

  Presented in Session P19.