Using the data set, we estimated the predictable but unknown physiologically based relationship between undernourishment and stunting at level k([beta].
ijk] represents the proportion stunted < 5 years of age in country i, in region j, and stunting level k; and [x.
k] to attribute a proportion of stunting to food causes in all countries in the parameterization data set:
ijk] is the proportion of stunting attributable to food causes in country z, in region y, at level k.
In the second step, we attributed the remaining proportion of stunting to nonfood causes and the interaction between food and nonfood causes:
ijk] is the proportion of stunting attributable to nonfood causes and the interaction between food and nonfood czases in country i, in region j, at level k.
The model was validated by comparing levels of stunting predicted by the model to observed stunting in the reserved portion of the data set (37 records).
Estimating future stunting, The principal input to our simulation model was future country-level PoU derived from Nelson et al.
This method produced probability density functions (PDFs) of future stunting.