• DocumentCode
    722983
  • Title

    A complete epidemiological model of a class of genetic diseases

  • Author

    Verrilli, Francesca ; Del Vecchio, Carmen ; Glielmo, Luigi ; Corless, Martin

  • Author_Institution
    Dipt. di Ing., Univ. degli Studi del Sannio, Benevento, Italy
  • fYear
    2015
  • fDate
    16-19 June 2015
  • Firstpage
    1118
  • Lastpage
    1123
  • Abstract
    The epidemiology of X-linked recessive diseases, a class of genetic disorders, has been modeled through a discrete time, structured, non linear mathematical system. The model version presented in this paper completely captures the disease epidemiology as it includes the spread of affected women within a population that has not been considered in other works. Moreover the model allows for de novo mutations (i.e. affected sibling born to unaffected parents) and distinct reproduction rates of individuals depending on their health conditions. Among our contributions, we consider the analytical study of the properties of model´s equilibrium point, that is the distribution of the population among healthy, carrier and affected subjects, and the proof of the stability properties of the equilibrium point through the Lyapunov method. Model sensitivity analysis has been carried out to quantify the influence of model parameters on system response.
  • Keywords
    Lyapunov methods; diseases; epidemics; nonlinear systems; stability; Lyapunov method; X-linked recessive diseases; complete epidemiological model; de novo mutations; discrete time system; genetic disorders; model sensitivity analysis; nonlinear mathematical system; stability properties; structured system; Biological cells; Diseases; Mathematical model; Sensitivity analysis; Sociology; Statistics; epidemiology; genetic diseases; nonlinear system; stability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Automation (MED), 2015 23th Mediterranean Conference on
  • Conference_Location
    Torremolinos
  • Type

    conf

  • DOI
    10.1109/MED.2015.7158906
  • Filename
    7158906