Spatial regression models to assess variations of composite index for anthropometric failure across the administrative zones in Ethiopia.

ABSTRACT:

Background

There are a number of previous studies that investigated undernutrition and its determinants in Ethiopia. However, the national average in the level of undernutrition conceals large variation across administrative zones of Ethiopia. Hence, this study aimed to determine the geographic distribution of composite index for anthropometric failure (CIAF) and identify the influencing factors it' might be more appropriate.

Methods

We used the zonal-level undernutrition data for the under-five children in Ethiopia from the Ethiopian Demographic and Health Survey (EDHS) dataset. Different spatial models were applied to explore the spatial distribution of the CIAF and the covariates.

Results

The Univariate Moran's I statistics for CIAF showed spatial heterogeneity of

SUBMITTER: Fenta HM 

PROVIDER: S-EPMC10901317 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature