Mathematical modelling of tuberculosis epidemics

The strengths and limitations of using homogeneous mixing and heterogeneous mixing epidemic models are explored in the context of the transmission dynamics of tuberculosis. The focus is on three types of models: a standard incidence homogeneous mixing model, a non-homogeneous mixing model that incorporates 'household' contacts, and an age-structured model. The models are parameterized using demographic and epidemiological data and the patterns generated from these models are compared. Furthermore, the effects of population growth, stochasticity, clustering of contacts, and age structure on disease dynamics are explored. This framework is used to asses the possible causes for the observed historical decline of tuberculosis notifications.Fil: Aparicio, Juan Pablo. Universidad Metropolitana San Juan; Puerto Rico. Universidad Nacional de Salta; ArgentinaFil: Castillo Chavez, Carlos. Arizona State University. School Of Human Evolution And Social Change; Estados Unidos. Mathematical, Computational and Modeling Sciences Center; Estados Unidos. Santa Fe Institute; Estados Unido