In this article we consider a microscopic model for the host-vector
disease transmission based on configuration space analysis. We model
transmission with a birth-death mechanism in the vector component and
mobility in the host component. Our intension is to show that a Vlasov
type scaling, which is a mean-field-like scaling of an interacting
particle system, leads to the known equations used in epidemiology to
model host-vector disease spread on the kinetic level. Configuration
space analysis is here a very powerful tool. The concepts of harmonic
analysis in this framework are used to derive first the dynamics of
correlation functions - giving a hierarchical system of equations
comparable to the well known BBGKY hierarchy in Hamiltonian dynamics. A
proper Vlasov type scaling guaranties that the resulting Vlasov
hierarchy is closed and possesses the property of preservation of chaos.
The limiting system of time evolution equations is non-linear and
strongly related to the well-known Fisher-KPP equations. A numerical
analysis strengthens the analytical results. Moreover, the dynamics of
case numbers over time gives qualitatively the solution of a SISUV-ODE
system. The microscopic dynamics hence leads to the right behavior in
the scaling limit.