Reaction-Diffusion Systems in Epidemiology

A key problem in modelling the evolution dynamics of infectious diseases is the mathematical representation of the mechanism of transmission of the contagion which depends upon the way the specific disease is communicated among different populations or subpopulations. Compartmental models describing a finite number of subpopulations can be described mathematically via systems of ordinary differential equations. The same is not possible for populations which exhibit some continuous structure, such as space location, age, etc. In particular when dealing with populations with space structure the relevant quantities are spatial densities, whose evolution in time requires now nonlinear partial differential equations, which are known as reaction-diffusion systems. In this chapter we are presenting an (historical) outline of mathematical epidemiology, paying particular attention to the role of spatial heterogeneity and dispersal in the population dynamics of infectious diseases. Two specific examples are discussed, which have been the subject of intensive research by the authors of the present chapter, i.e. man-environment-man epidemics, and malaria. In addition to the epidemiological relevance of these epidemics all over the world, their treatment requires a large amount of different sophisticate mathematical methods, and has even posed new non trivial mathematical problems, as one can realize from the list of references. One of the most relevant problems faced by the present authors, i.e. regional