Abstract

Abstract Background Approximately 45% of all child deaths are associated with malnutrition in sub-Saharan Africa. However, information on the geographical variations of child malnutrition in Burkina Faso is limited. This study examined the geographical distribution and the community characteristics associated with child malnutrition in Burkina Faso using spatial regression analysis. Methods Data from the 2011 Burkina Faso Demographic Health Survey were analyzed. A representative sample of 572 communities and 6,120 children under age of five were in the survey. A general Kriging interpolation method was used to generate spatial malnutrition patterns. The Local Indicator of Spatial Autocorrelation was used to identify particular communities clustering with high and low child malnutrition scores. In the spatial regression analysis, we used a two-step procedure combining generalized estimating equation models (GEE) and spatial lag modeling techniques. Results The average rates of stunting and wasting were 32.48%, and 15.05%, respectively. Stunting hotspots were observed to be in the eastern and northeastern part of Burkina Faso (i.e. Oudolan, Séno), while high rates of wasting were observed in the central-north part. The results of the spatial regression analysis revealed lower stunting rates in communities with a higher percentage of households with improved sanitation. Communities with higher rates of professionally assisted births were associated with low wasting rates while communities with higher rates of households with low wealth index reported higher rates of wasting. Spatial lag models appeared to estimate the relationship between community-level risk factors and stunting and wasting more accurately than the ordinary least squares models. Conclusions This study revealed significant geographical patterns and community factors associated with childhood malnutrition. These factors should be considered for future programs aiming at reducing child malnutrition in Burkina Faso. Key messages The study identifies spatial trends and contextual factors associated with child malnutrition in Burkina Faso. Public health programs should focus on the regions identified as hot spots of child malnutrition in Burkina Faso.

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