A Data Management Model for Malaria Control: A Case of Rwanda
Happiness Rose Mary, Carine Pierrette Mukamakuza, Emmanuel Tuyishimire · 2023
We are in an era when the diagnosis of diseases benefits greatly from digitizing their control. On the other hand, malaria is a long-standing yet one of the deadliest diseases. Its diagnosis processes still use old mechanisms, even when we have embarked on the Fourth Industrial Revolution. It is, therefore, more important than ever to digitize its control to enhance its diagnosis. This paper studies a digital data management model for malaria control in the context of a typical African country, Rwanda. Existing data management models are revisited, exploited, and contextualized to suit the Rwandan scenario, with the aim of their adoption. The proposed model in this study is the first of its kind for the developing world.