Analyzing Ebola virus transmission using mathematical models: a comparative study of deterministic and stochastic methods

This work focuses on the study and application of mathematical models to understand the dynamics of infectious diseases, specifically the Ebola Virus Disease (EVD). Throughout the study, we review and apply compartmental epidemiological models (deterministic and stochastic models) featuring different characteristics. As the basis for our study, we use data recorded during the EVD epidemic in West Africa in 2014. By applying various models that describe the spread of this disease in different ways, we hope to understand the mechanisms and advantages of each model, as well as assess the quality of the results obtained with them and the parties involved in the modeling process.