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dc.contributor.authorHenri, Berestycki-
dc.contributor.authorBenoît, Desjardins-
dc.contributor.authorJoshua S., Weitz-
dc.date.accessioned2023-04-05T02:13:04Z-
dc.date.available2023-04-05T02:13:04Z-
dc.date.issued2023-
dc.identifier.urihttps://link.springer.com/article/10.1007/s00285-022-01861-w-
dc.identifier.urihttps://dlib.phenikaa-uni.edu.vn/handle/PNK/7522-
dc.descriptionCC BYvi
dc.description.abstractWe propose and analyze a family of epidemiological models that extend the classic Susceptible-Infectious-Recovered/Removed (SIR)-like framework to account for dynamic heterogeneity in infection risk. The family of models takes the form of a system of reaction–diffusion equations given populations structured by heterogeneous susceptibility to infection. These models describe the evolution of population-level macroscopic quantities S, I, R as in the classical case coupled with a microscopic variable f, giving the distribution of individual behavior in terms of exposure to contagion in the population of susceptibles.vi
dc.language.isoenvi
dc.publisherSpringervi
dc.subjectclassic Susceptible-Infectious-Recovered/Removed (SIR)vi
dc.subjectpopulation of susceptiblesvi
dc.titleEpidemic modeling with heterogeneity and social diffusionvi
dc.typeBookvi
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