Estimating the infant mortality rate from DHS birth histories in the presence of age heaping.

ABSTRACT:

Background

The infant mortality rate (IMR) is a critical indicator of population health, but its measurement is subject to response bias in countries without complete vital registration systems who rely instead on birth histories collected via sample surveys. One of the most salient bias is the fact that child deaths in these birth histories tend to be reported with a large amount of heaping at age 12 months. Because of this issue, analysts and international agencies do not directly use IMR estimates based on surveys such as Demographic and Health Surveys (DHS); they rely instead on mortality models such as model life tables. The use of model life tables in this context, however, is arbitrary, and the extent to which this approach appropriately addresses bias in DHS-based IMR estim

SUBMITTER: Romero Prieto J 

PROVIDER: S-EPMC8565760 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature