Univariate and multivariate analysis (N = 16,453).
Models take the absolute MUAC as the dependent variable with cluster and number of surveillance visit per cluster introduced as random-intercepts.
Prediction of seasonal variation of the SAM using a Binomial GLMM, Kazaure LGA, Jigawa State, Nig
Spatial clusters representation of GAM week 40 at the peak period, Kazaure LGA, Jigawa State, Nig
Spatial clusters representation of SAM week 35 at the peak period, Kazaure LGA, Jigawa State, Nig
Estimated peak timing from periodic regression for the nutritional surveillance between June 2010
This research presents an algorithm based on Artificial Neural Networks (ANN), for estimating monthl