Export citation

Export citation

Choose format for download:

Download Citation
  • Access by Xinjiang University

Non-Markovian edge-based compartmental modeling

V. P. Shkilev*

  • Chuiko Institute of Surface Chemistry, National Academy of Sciences of Ukraine, 17, General Naumov Str., 03164 Kyiv, Ukraine

  • *shkilevv@ukr.net

Phys. Rev. E 99, 042408 – Published 18 April, 2019

DOI: https://doi.org/10.1103/PhysRevE.99.042408

Abstract

A method is proposed for generalizing the equations obtained within the framework of the edge-based compartmental modeling approach for the case of non-Poissonian transmission and recovery processes. It is confirmed that non-Markovian systems of equations obtained in this manner, which describe the spread of epidemic diseases, can be represented as Markovian systems of equations. The application of the proposed method in particular types of edge-based compartmental models is considered. In particular, the analytical expressions for the basic reproductive number and the final size of an epidemic are derived for the non-Markovian dynamic variable-degree model.

Physics Subject Headings (PhySH)

Article Text

References (19)

  1. M. E. J. Newman, Phys. Rev. E 66, 016128 (2002).
  2. R. Pastor-Satorras, C. Castellano, P. Van Mieghem, and A. Vespignani, Rev. Mod. Phys. 87, 925 (2015).
  3. I. Z. Kiss, J. C. Miller, and L. P. Simon, Mathematics of Epidemics on Networks—From Exact to Approximate Models (Springer, Heidelberg, Berlin, 2017).
  4. E. Kenah and J. M. Robins, Phys. Rev. E 76, 036113 (2007).
  5. N. Sherborne, K. B. Blyuss, and I. Z. Kiss, Bull. Math. Biol. 77, 1909 (2015).
  6. R. R. Wilkinson, F. G. Ball, and K. J. Sharkey, J. Math. Biol. 75, 1563 (2017).
  7. W. Wang, M. Tang, H.-F. Zhang, H. Gao, Y. Do, and Z.-H. Liu, Phys. Rev. E 90, 042803 (2014).
  8. I. Z. Kiss, G. Röst, and Z. Vizi, Phys. Rev. Lett. 115, 078701 (2015).
  9. C. Angstmann, B. Henry, and A. McGann, Fract. Fractional 1, 11 (2017).
  10. J. C. Miller, A. C. Slim, and E. M. Volz, J. R. Soc. Interface 9, 890 (2012).
  11. J. C. Miller and E. M. Volz, PLoS One 8, e69162 (2013).
  12. J. C. Miller and E. M. Volz, J. Math. Biol. 67, 869 (2013).
  13. N. Sherborne, J. C. Miller, K. B. Blyuss, and I. Z. Kiss, J. Math. Biol. 76, 755 (2018).
  14. B. Karrer and M. E. J. Newman, Phys. Rev. E 82, 016101 (2010).
  15. J. C. Miller, Phys. Rev. E 76, 010101(R) (2007).
  16. Function f(x) is written as f(x)=1K0dζ1exp{ζ[1x]}1xζρ(ζ). Because the function g(y)=1exp{ζy}y decreases monotonously in the interval y(0,1), the function f(x) increases monotonously in the interval x(0,1).
  17. Z. Vizi, I. Z. Kiss, J. C. Miller, and G. Röst, arXiv:1712.06026.
  18. R. W. Hamming, Numerical Methods for Scientists and Engineers, (McGraw-Hill, New York, 1962).
  19. A. Feldmann and W. Whitt, Perform. Eval. 31, 245 (1998).

Outline

Information

Sign In to Your Journals Account

Filter

Filter

Article Lookup

Enter a citation