Marcos D'Angelo

Socioeconomic determinants of malaria in Ugandan children: An interpretable machine learning approach for public health policy

Malaria remains a critical global health crisis, placing a disproportionate burden on children under five in Uganda. To transition from broad surveillance to targeted intervention, this study applies interpretable machine learning to identify key socioeconomic predictors of malaria using the 2018–2019 Uganda Malaria In...