Multilevel small-area childhood stunting risk estimation: Insights from spatial ensemble learning, agro-ecological and environmentally remotely sensed indicators
Small area childhood stunting risk estimations remain a critical tool for shaping the surveillance policies of such a public health concern. With classical statistical methods, stunting risk metrics are mainly reported at a national level, which inhibits fine-scale insights at a more localized level. To this end, we implemented a novel multilevel small area estimation (SAE) approach for effectivel
