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Asymptotic behavior of an epidemic model with infinitely many variants.
Burie, Jean-Baptiste; Ducrot, Arnaud; Griette, Quentin.
Afiliação
  • Burie JB; Univ. Bordeaux, Bordeaux INP, CNRS, IMB, UMR 5251, F-33400, Talence, France.
  • Ducrot A; Normandie Univ, UNIHAVRE, LMAH, FR-CNRS-3335, ISCN, 76600, Le Havre, France.
  • Griette Q; Normandie Univ, UNIHAVRE, LMAH, FR-CNRS-3335, ISCN, 76600, Le Havre, France. quentin.griette@univ-lehavre.fr.
J Math Biol ; 87(3): 40, 2023 08 10.
Article em En | MEDLINE | ID: mdl-37561157
We investigate the long-time dynamics of a SIR epidemic model with infinitely many pathogen variants infecting a homogeneous host population. We show that the basic reproduction number [Formula: see text] of the pathogen can be defined in that case and corresponds to a threshold between the persistence ([Formula: see text]) and the extinction ([Formula: see text]) of the pathogen population. When [Formula: see text] and the maximal fitness is attained by at least one variant, we show that the systems reaches an endemic equilibrium state that can be explicitly determined from the initial data. When [Formula: see text] but none of the variants attain the maximal fitness, the situation is more intricate. We show that, in general, the pathogen is uniformly persistent and any family of variants that have a fitness which is uniformly lower than the optimal fitness, eventually gets extinct. We derive a condition under which the total pathogen population converges to a limit which can be computed explicitly. We also find counterexamples that show that, when our condition is not met, the total pathogen population may converge to an unexpected value, or the system can even reach an eternally transient behavior where the total pathogen population between several values. We illustrate our results with numerical simulations that emphasize the wide variety of possible dynamics.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Epidemias / Modelos Biológicos Tipo de estudo: Prognostic_studies Idioma: En Revista: J Math Biol Ano de publicação: 2023 Tipo de documento: Article País de afiliação: França

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Epidemias / Modelos Biológicos Tipo de estudo: Prognostic_studies Idioma: En Revista: J Math Biol Ano de publicação: 2023 Tipo de documento: Article País de afiliação: França