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Dataset Information

Examining infant and child death clustering among families in the cross-sectional and nationally representative Bangladesh Demographic and Health Survey 2017-2018.


ABSTRACT:

Objectives

We aim to examine the phenomenon of infant and child death clustering while considering the unobserved heterogeneity (frailty) at the family level.

Design, setting, and participants

We analysed Bangladesh Demographic and Health Survey 2017-2018 data, including the birth history information for 47 828 children born to 18 134 women. We used Gompertz shared frailty model to control the correlation between event times at the mother level and capture the unobserved risks in infant and child deaths.

Outcome measures

We estimated two sets of survival regression models where the failure event is the survival status of the index child during the infancy period, that is, from birth to 11 months, and childhood period, that is, between 12 and 59 months, respectively. A

SUBMITTER: Paul R 

PROVIDER: S-EPMC9189828 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature