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Impact of Travel on Spread of Infection

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F23%3APU149965" target="_blank" >RIV/00216305:26220/23:PU149965 - isvavai.cz</a>

  • Result on the web

    <a href="https://link.springer.com/chapter/10.1007/978-3-031-42689-6_8" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-031-42689-6_8</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-031-42689-6_8" target="_blank" >10.1007/978-3-031-42689-6_8</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Impact of Travel on Spread of Infection

  • Original language description

    In this paper, we are concerned with a generalization of the classical SIR model describing the dynamics of an infectious disease. Two distinctive features of the proposed model are: (i) the split of the cohort of susceptible into two sub-cohorts, frequent travelers running higher risks of being infected and individuals who do not travel with a lower infection rate, and (ii) lack of immunity to disease with the possibility of re-infection after recovery. These modifications reflect recent experience from Covid-19 epidemics when countries were introducing quarantine measures or travel restrictions and multiple cases of repeated reinfection of individuals were reported. Numerical simulations demonstrate that the ratio between the infection rates of mobile and non-mobile susceptible significantly impacts the dynamics of the disease. Higher infection rates for a smaller sub-cohort of active travelers lead to earlier epidemics outbreaks and affect a larger proportion of individuals.

  • Czech name

  • Czech description

Classification

  • Type

    C - Chapter in a specialist book

  • CEP classification

  • OECD FORD branch

    10102 - Applied mathematics

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Book/collection name

    Computational and Mathematical Models in Biology

  • ISBN

    978-3-031-42688-9

  • Number of pages of the result

    29

  • Pages from-to

    183-211

  • Number of pages of the book

    329

  • Publisher name

    Springer Cham

  • Place of publication

    Cham, Switzerland

  • UT code for WoS chapter