Predicting Iran's achievement to Sustainable Development Goal 3.2: A systematic analysis of neonatal mortality with scenario-based projections to 2030.

ABSTRACT:

Background

Sustainable Development Goal 3.2 (SDG 3.2) is to reduce Under-5 and neonatal mortality rates (U5MR and NMR), two major health systems' performance indicators, globally by 2030. We aimed to report Iran's U5MR and NMR status during 2010-2017 and its achievement of SDG 3.2 by 2030, using scenario-based projection.

Study design

To estimate the national and subnational levels of U5MR and NMR, we applied an Ensemble Bayesian Model Averaging (EBMA) with Gaussian Process Regression (GPR) and Spatio_temporal models. We used all available data sources including: 12-year data from the Death Registration System (DRS), two censuses, and a demographic and health surveys (DHS). This study employed two approaches, Maternal Age Cohort (MAC) and Maternal Age Period (MAP), to analyz

SUBMITTER: Ebrahimi N 

PROVIDER: S-EPMC10079046 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature