In this work, I used a mathematical model to study the dynamics of Ebola Virus Disease (EVD) on a landscape composed by two patches. Particularly, I focused on study the impact of population's mobility on the overall final epidemic size.

I assumed that the patches are defined by differences in socio-economic conditions. In addition, I assumed that differential conditions lead to differences in the risk of EVD infection. Then, each patch is associated with a particular risk of EVD infection.

Disease dynamics across patches is assumed to be coupled by individuals' mobility. I used a Lagrangian approach through residency times to model population's mobility across environments. The average time that individuals spend in each environment determines the risk of being infected.

The result of this research was the publication of my first peer reviewed article in epidemiology.