Prediction of seasonal variation of the SAM using a Binomial GLMM, Kazaure LGA, Jigawa State, Nigeria.

Regression parameters, confidence intervals and p-value using a Gaussian GLMM, Kazaure LGA, Jigawa State, Nigeria.

Univariate and multivariate analysis (N = 16,453).

Models take the absolute MUAC as the de

Spatial clusters representation of SAM week 35 at the peak period, Kazaure LGA, Jigawa State, Nigeria.

Spatial clusters representation of SAM week 35 at the peak period, Kazaure LGA, Jigawa State, Nig

Spatial clusters representation of GAM week 40 at the peak period, Kazaure LGA, Jigawa State, Nigeria.

Spatial clusters representation of GAM week 40 at the peak period, Kazaure LGA, Jigawa State, Nig

Global Solar Radiation Modelling using an Artificial Neural Network for Kazaure, Jigawa State, Nigeria

This research presents an algorithm based on Artificial Neural Networks (ANN), for estimating monthl

GAM and SAM prevalence based on MUAC and/or bilateral oedema for children aged from 6 to 59 months between June 2010 and February 2012, Kazaure LGA, Jigawa State, Nigeria.

GAM and SAM prevalence based on MUAC and/or bilateral oedema for children aged from 6 to 59 month