High-resolution spatial prediction of anemia risk among children aged 6 to 59 months in low- and middle-income countries.

ABSTRACT:

Background

Anemia, a severe condition among children associated with adverse health effects such as impaired growth, limited physical and cognitive development, and increased mortality risk, remains widespread, particularly in low- and middle-income countries. This study combines Demographic and Health Surveys data with remotely sensed climate, demographic, environmental, and geo-spatial information, creating a data set comprising about 750,000 observations on childhood anemia from 37 countries. It is used to provide high-resolution spatio-temporal estimates of all forms of childhood anemia between 2005 and 2020.

Methods

Employing full probabilistic Bayesian distributional regression models, the research accurately predicts age-specific and spatially varying anemia risks. Th

SUBMITTER: Seiler J 

PROVIDER: S-EPMC11880423 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature