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An Age Structured S.I. Epidemic Problem in a Heterogeneous Environment

机译:异构环境中年龄结构的S.I.流行病

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In this work we analyze an S.I. epidemic model with age dependence and a heterogeneous spatial structure. Our main motivation rests on a tentative qualitative comparison in Naulin between continuous models and matrix population models, i.e., discrete models, with age and space structures of the S.E.I.R. form, used in modelling the propagation of rabies in red fox populations (Vulpes vulpes) in Suppo et al. [19]; see also Naulin [17]. A derivation of continuous S.E.I.R.models from the corresponding matrix models is found in Naulin [18], along the lines of Cushing [7] and Gurtin [10]. Then, the first question to address is a global (in time) existence problem. While this does not pose any problem for matrix population models because they are set in an explicit form, X(t + 1) = P(t, X(t))X(t) where P(t,X) is the reproduction matrix (Caswell [5]), this is far from being obvious for continuous models with age dependence because they are both non linear and non local. A further feature is that population fluxes are age dependent and may contain a transport term, as it is the case for territorial populations where juveniles must find their own territory to settle down and reproduce ([17]), [19]. This yields new age dependent mathematical problems much more structured than the one usullly considered (see the books of Webb [20], Iannelli [11] and Anita [3]).
机译:在这项工作中,我们分析了具有年龄依赖性和异构空间结构的S.I.流行病模型。我们的主要动机是基于Naulin在连续模型和矩阵总体模型(即离散模型)之间进行定性比较,该模型具有S.E.I.R.的年龄和空间结构。 Suppo等人的形式,用于模拟狂犬病在赤狐种群(Vulpes vulpes)中的传播。 [19];参见Naulin [17]。在Naulin [18]中,沿着Cushing [7]和Gurtin [10]的路线,从相应的矩阵模型派生了连续的S.E.I.R.模型。然后,要解决的第一个问题是全局(及时)存在问题。虽然这对于矩阵总体模型没有任何问题,因为它们是以显式形式设置的,但X(t + 1)= P(t,X(t))X(t),其中P(t,X)是复制矩阵(Caswell [5]),对于具有年龄依赖性的连续模型来说,这远非显而易见,因为它们既是非线性的又是非局部的。另一个特点是,人口流动是与年龄有关的,可能包含运输期限,对于领土人口来说,少年必须找到自己的领土定居和繁殖([17])[19]。这产生了新的与年龄相关的数学问题,其结构比通常考虑的要复杂得多(请参阅Webb [20],Iannelli [11]和Anita [3]的书)。

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