A Fractional-Order Infectivity and Recovery SIR Model
AbstractThe introduction of fractional-order derivatives to epidemiological compartment models, such as SIR models, has attracted much attention. When this introduction is done in an ad hoc manner, it is difficult to reconcile parameters in the resulting fractional-order equations with the dynamics of individuals. This issue is circumvented by deriving fractional-order models from an underlying stochastic process. Here, we derive a fractional-order infectivity and recovery Susceptible Infectious Recovered (SIR) model from the stochastic process of a continuous-time random walk (CTRW) that incorporates a time-since-infection dependence on both the infectivity and the recovery of the population. By considering a power-law dependence in the infectivity and recovery, fractional-order derivatives appear in the generalised master equations that govern the evolution of the SIR populations. Under the appropriate limits, this fractional-order infectivity and recovery model reduces to both the standard SIR model and the fractional recovery SIR model. View Full-Text
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Angstmann, C.N.; Henry, B.I.; McGann, A.V. A Fractional-Order Infectivity and Recovery SIR Model. Fractal Fract 2017, 1, 11.
Angstmann CN, Henry BI, McGann AV. A Fractional-Order Infectivity and Recovery SIR Model. Fractal and Fractional. 2017; 1(1):11.Chicago/Turabian Style
Angstmann, Christopher N.; Henry, Bruce I.; McGann, Anna V. 2017. "A Fractional-Order Infectivity and Recovery SIR Model." Fractal Fract 1, no. 1: 11.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.