Abstract
There is limited knowledge on the effect of contextual and environmental factors on the risk of anaemia, as well as the spatial distribution of anaemia in the Sub-Saharan Africa region. In this study, we used multi-country data from the Demographic & Health survey (DHS) with 270,011 observations and PM2.5 data from NASA, applied to the spatial risk pattern of anaemia in the SSA region. The prevalence of anaemia amongst women (41%) was almost twice that of men (22%). A Bayesian hierarchical model showed that individual household, neighbourhood and regional socioeconomic factors were significantly associated with the likelihood of being anaemic. 1 μg/m3 increase in cumulative lifetime PM2.5 exposure accounted for 1% (β = 0.011, CI = 0.008 – 0.015) increase in the likelihood of being anaemic. The results suggest the need for a multidimensional approach to tackle anaemia in the Sub-Saharan African region and identify high-risk areas for target intervention policies or programs.
Original language | English (US) |
---|---|
Article number | 100472 |
Journal | Spatial and Spatio-temporal Epidemiology |
Volume | 40 |
DOIs | |
State | Published - Feb 2022 |
Keywords
- Anaemia
- Bayesian spatial analysis
- Demographic and health survey
- Multilevel modelling
- R-INLA
- Sub-Saharan Africa
ASJC Scopus subject areas
- Epidemiology
- Geography, Planning and Development
- Infectious Diseases
- Health, Toxicology and Mutagenesis