  A key problem in modelling the evolution dynamics of infectious diseases is
the mathematical representation of the mechanism of transmission of the
contagion. Models with a finite number of subpopulations can be described via
systems of ordinary differential equations. When dealing with populations with
space structure the relevant quantities are spatial densities, whose evolution
in time requires nonlinear partial differential equations, which are known as
reaction-diffusion systems. Here we present an (historical) outline of
mathematical epidemiology, with a 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, 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 posed by the authors, i.e. regional control, has been emphasized here:
the public health concern consists of eradicating the disease in the relevant
population, as fast as possible. On the other hand, very often the entire
domain of interest for the epidemic, is either unknown, or difficult to manage
for an affordable implementation of suitable environmental programmes. For
regional control instead it might be sufficient to implement such programmes
only in a given subregion conveniently chosen so to lead to an effective
(exponentially fast) eradication of the epidemic in the whole habitat; it is
evident that this practice may have an enormous importance in real cases with
respect to both financial and practical affordability.
