Availability of antimalarial medicines and inventory management at the community level: a case study of Bugesera district in Rwanda.

Background: Malaria is a public health hazard globally, with Sub-Saharan Africa accounting for more than 90% of malaria deaths, primarily affecting children under the age of five. In Rwanda, malaria interventions include the availability of antimalarial medications, notably Artemisinin-based combination treatments (ACTs) and quick diagnostic test kits (RDTs). However, the availability of antimalarial medicines and its related inventory management at community level in Rwanda has yet to be identified.

Application of random forest model to predict the demand of essential medicines for non-communicable diseases management in public health facilities.

Introduction: recent initiatives in healthcare reform have pushed for a better understanding of data complexity and revolution. Given the global prevalence of Non-Communicable Diseases (NCD) and the economic and clinical burden they impose, it is recommended that the management of essential medicines used to treat them be renovated and optimized through the application of predictive modeling such a RF model.

Methods: in this study, a series of data pre-processing activities were used to select the top seventeen (17) NCD essential medicines most commonly used for treating common and frequent NCD.