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May  2008, 7(3): 659-675. doi: 10.3934/cpaa.2008.7.659

Mathematical analysis of a PDE epidemiological model applied to scrapie transmission

Najat Ziyadi 1, , Said Boulite 1, , M. Lhassan Hbid 1, and  Suzanne Touzeau 2,

1. 

Department of Mathematics, Semlalia Faculty of Sciences, Cadi Ayyad University, P.O. 2390, 40001 Marrakesh, Morocco, Morocco
2. 

UR341 Mathématiques et informatique appliquées, INRA, F-78350 Jouy-en-Josas, France

Received  October 2006 Revised  December 2007 Published  February 2008

The aim of this paper is to analyse a dynamic model which describes the spread of scrapie in a sheep flock. Scrapie is a transmissible spongiform encephalopathy, endemic in a few European regions and subject to strict control measures. The model takes into account various factors and processes, including seasonal breeding, horizontal and vertical transmission, genetic susceptibility of sheep to the disease, and a long and variable incubation period. Therefore the model, derived from a classical SI (susceptible-infected) model, also incorporates a discrete genetic structure for the flock, as well as a continuous infection load structure which represents the disease incubation. The resulting model consists of a set of partial differential equations which describe the evolution of the flock with respect to time and infection load. To analyse this model, we use the semigroup and evolution family theory, which provides a flexible mathematical framework to determine the existence and uniqueness of a solution to the problem. We show that the corresponding linear model has a unique classical solution and that the complete nonlinear model has a global solution.
Keywords: population dynamics, abstract Cauchy problem, Partial differential equations, epidemiology, semigroup theory, scrapie., SI model.
Mathematics Subject Classification: Primary: 35L60; Secondary: 92D3.
Citation: Najat Ziyadi, Said Boulite, M. Lhassan Hbid, Suzanne Touzeau. Mathematical analysis of a PDE epidemiological model applied to scrapie transmission. Communications on Pure & Applied Analysis, 2008, 7 (3) : 659-675. doi: 10.3934/cpaa.2008.7.659
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