On a bi-virus epidemic model with partial and waning immunity

Lorenzo Zino*, Mengbin Ye, Brian D.O. Anderson

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Citation (Scopus)

    Abstract

    We propose a deterministic compartmental model to study the impact of partial and waning immunity on the spread of two competitive epidemic diseases, hereafter termed viruses. Building on a standard bi-virus SIS model, we introduce additional compartments to account for individuals who recovered from each virus, and tunable parameters to capture the level of virus-specific and cross protection acquired after recovery from a specific virus, and the rate at which such immunity could wane. We formalise the model as a system of nonlinear ordinary differential equations, which is amenable to analytical treatment, and we focus our analysis on two specialisations of the model. First, in the absence of waning immunity, we establish a global convergence result showing that, above the epidemic threshold, only the “fittest” virus becomes endemic. Second, in the absence of cross-immunity, we demonstrate instead that long-lasting co-existence of the two viruses may emerge, depending on the model parameters.

    Original languageEnglish
    Title of host publicationIFAC-PapersOnLine
    EditorsHideaki Ishii, Yoshio Ebihara, Jun-ichi Imura, Masaki Yamakita
    PublisherElsevier B.V.
    Pages83-88
    Number of pages6
    Edition2
    ISBN (Electronic)9781713872344
    DOIs
    Publication statusPublished - 1 Jul 2023
    Event22nd IFAC World Congress - Yokohama, Japan
    Duration: 9 Jul 202314 Jul 2023

    Publication series

    NameIFAC-PapersOnLine
    Number2
    Volume56
    ISSN (Electronic)2405-8963

    Conference

    Conference22nd IFAC World Congress
    Country/TerritoryJapan
    CityYokohama
    Period9/07/2314/07/23

    Fingerprint

    Dive into the research topics of 'On a bi-virus epidemic model with partial and waning immunity'. Together they form a unique fingerprint.

    Cite this