Space dependent models for studying the spread of some diseases
In this paper we present some extensions of the classical SIR model with non-symmetric spatial dependence. SIR-type models usually describe the epidemic in a population, which is split into three categories, namely the susceptibles (S), the infected (I) and the recovered (R). The proposed model yiel...
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Veröffentlicht in: | Computers & mathematics with applications (1987) 2020-07, Vol.80 (2), p.395-404 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | In this paper we present some extensions of the classical SIR model with non-symmetric spatial dependence. SIR-type models usually describe the epidemic in a population, which is split into three categories, namely the susceptibles (S), the infected (I) and the recovered (R). The proposed model yields a system of partial integro-differential equations. Two methods handling the integrals of the equations are presented. We give numerical examples which show that the discrete models preserve the basic qualitative properties of the original biological process, and these results are supported by the oretical theorems. |
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ISSN: | 0898-1221 1873-7668 |
DOI: | 10.1016/j.camwa.2019.07.001 |