A diffusive SI model with Allee effect and application to FIV.
A minimal reaction-diffusion model for the spatiotemporal spread of an infectious disease is considered. The model is motivated by the Feline Immunodeficiency Virus (FIV) which causes AIDS in cat populations. Because the infected period is long compared with the lifespan, the model incorporates the host population growth. Two different types are considered: logistic growth and growth with a strong Allee effect. In the model with logistic growth, the introduced disease propagates in form of a travelling infection wave with a constant asymptotic rate of spread. In the model with Allee effect the spatiotemporal dynamics are more complicated and the disease has considerable impact on the host population spread. Most importantly, there are waves of extinction, which arise when the disease is introduced in the wake of the invading host population. These waves of extinction destabilize locally stable endemic coexistence states. Moreover, spatially restricted epidemics are possible as well as travelling infection pulses that correspond either to fatal epidemics with succeeding host population extinction or to epidemics with recovery of the host population. Generally, the Allee effect induces minimum viable population sizes and critical spatial lengths of the initial distribution. The local stability analysis yields bistability and the phenomenon of transient epidemics within the regime of disease-induced extinction. Sustained oscillations do not exist.
Hilker
Frank M
FM
Institute of Environmental Systems Research, Department of Mathematics and Computer Science, University of Osnabrück, 49069 Osnabrück, Germany. fhilker@uos.de
Langlais
Michel
M
Petrovskii
Sergei V
SV
Malchow
Horst
H
D000465:Algorithms; D000818:Animals; D002415:Cats; D016181:Feline Acquired Immunodeficiency Syndrome / Q000517:prevention & control* / Q000635:transmission / Q000821:virology; D016089:Immunodeficiency Virus, Feline; D008954:Models, Biological; D011156:Population Density; D011157:Population Dynamics; D011158:Population Growth