conference_paper5_ChaoF_PAA2017.pdf (410.07 kB)

A Systematic Assessment of National, and Regional Under-Five Mortality Rate by Wealth Quintiles and Identification of Countries with Outlying Levels Using a Bayesian Hierarchical Time Series Model

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conference contribution
posted on 01.06.2020, 07:41 by Fengqing Chao, Danzhen You, Jon Pedersen, Leontine Alkema
This conference paper was presented as a poster on Apr 27th, 2017, in the 2017 Population Association of America Annual Meeting, Chicago, IL, USA.

National-level estimates of the under-five mortality rate (U5MR) may mask disparities at the subnational level. We developed a Bayesian hierarchical time series model to assess disparities in the U5MR by household-level socioeconomic status (measured through wealth quintiles). In the model, country-specific ratios of wealth-quintile-specific U5MRs are modelled as the product of an expected ratio and a country-specific deviation from that expected ratio. We obtained quintile-specific estimates for 96 countries from 1990 (or the earliest year of data collection) to 2015 and pinpointed countries with unusually large or small disparities. We find that important differences exist between children from the poorest and richest households with respect to survival up to age five.

Funding

Research grant from the National University of Singapore: R-608-000-125-646

UN Children's Fund

United States Agency for International Development

To provide high quality data and analysis for ensuring accountability on meeting the health Sustainable Development Goals (SDGs), particularly child nutrition and child mortality

Bill & Melinda Gates Foundation

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