Lyapunov functions and global stability for SIR and SEIR models withage-dependent susceptibility

  • Received: 01 January 2012 Accepted: 29 June 2018 Published: 01 January 2013
  • MSC : Primary: 92D30; Secondary: 35F31, 34D23.

  • We consider global asymptotic properties for the SIR and SEIRage structured models for infectious diseases where the susceptibilitydepends on the age. Using the direct Lyapunov method with Volterratype Lyapunov functions, we establish conditions for the global stabilityof a unique endemic steady state and the infection-free steady state.

    Citation: Andrey V. Melnik, Andrei Korobeinikov. Lyapunov functions and global stability for SIR and SEIR models withage-dependent susceptibility[J]. Mathematical Biosciences and Engineering, 2013, 10(2): 369-378. doi: 10.3934/mbe.2013.10.369

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  • We consider global asymptotic properties for the SIR and SEIRage structured models for infectious diseases where the susceptibilitydepends on the age. Using the direct Lyapunov method with Volterratype Lyapunov functions, we establish conditions for the global stabilityof a unique endemic steady state and the infection-free steady state.


    [1] Disc. Cont. Dyn. Syst. Ser. B, 8 (2007), 1-17.
    [2] Math. Model. Nat. Phenom., 2 (2007), 62-83.
    [3] SIAM J. Appl. Math., 2 (2006), 337-353.
    [4] Math. Biosci. Eng., 3 (2006), 513-525.
    [5] J. Biol. Dynamics, 2 (2008), 154-168.
    [6] SIAM Rev., 42 (2000), 599-653.
    [7] Appl. Math. Lett., 22 (2009), 1690-1693.
    [8] Appl. Math. Lett., 24 (2011), 1199-1203.
    [9] J. Math. Biol., 63 (2011), 129-139.
    [10] SIAM J. Appl. Math., 70 (2010), 2693-2708.
    [11] Bull. Math. Biol., 72 (2010), 1192-1207.
    [12] Math. Biosci., 209 (2007), 51-75.
    [13] J. Theor. Biol., 224 (2003), 269-275.
    [14] Bull. Math. Biol., 71 (2009), 75-83.
    [15] Bull. Math. Biol., 69 (2007), 1871-1886.
    [16] Math. Med. Biol., 26 (2009), 225-239.
    [17] Math. Med. Biol., 26 (2009), 309-321.
    [18] Discrete Cont. Dyn. Syst. Ser. B, 14 (2010), 1095-1103.
    [19] SIAM, Philadelphia, 1976.
    [20] J. Math. Anal. Appl., 361 (2010), 38-47.
    [21] Math. Biosci. Eng., 7 (2010), 675-685.
    [22] Taylor & Francis, Ltd., London, 1992.
    [23] Appl. Anal., 89 (2010), 1109-1140.
    [24] USSR Comput Maths Math. Phys., 23 (1983), 45-49.
    [25] Math. Biosci. Eng., 6 (2009), 603-610.
    [26] Nonlinear Anal. Real World Appl., 11 (2010), 55-59.
    [27] Appl. Math. Comput., 217 (2010), 3046-3049.
    [28] Nonlinear Anal. Real World Appl., 11 (2010), 3106-3109.
    [29] Math. Biosci. Eng., 8 (2011), 1019-1034.
    [30] J. Differ. Equations, 250 (2011), 3772-3801.
    [31] Princeton University Press, Princeton, 2003.
    [32] Nonlinear Anal., 47 (2001), 6181-6194.
    [33] Gauthier-Villars, Paris, 1931.
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