An SEIR Epidemic Model with Relapse and General Nonlinear Incidence Rate with Application to Media Impact
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Abstract
The aim of this paper is to extend the incidence rate of an SEIR epidemic model with relapse and varying total population size to a general nonlinear form, which does not only include a wide range of monotonic and concave incidence rates but also takes on some neither monotonic nor concave cases, which may be used to reflect media education or psychological effect. By application of the novel geometric approach based on the third additive compound matrix, we focus on establishing the global stability of the SEIR model. Our analytical results reveal that the model proposed can retain its threshold dynamics that the basic reproduction number completely determines the global stability of equilibria. Our conclusions are applied to two special incidence functions reflecting media impact.
Keywords
General nonlinear incidence rate Relapse Media impact Global stability Varying total population sizeMathematics Subject Classfication
34D23 92D30Notes
Acknowledgements
The authors thank the editor and the anonymous reviewers for their constructive comments and valuable suggestions which help us to greatly improve the presentation of this paper. The work is supported by National Natural Science Foundation of China (Nos.11371161 and 11261017). The work is also sponsored by Youth Talents Project of Science and Technology Research Plan of Hubei Provincial Education Department, and Doctoral Scientific Research Starting Found of Hubei University for Nationalities.
References
- 1.Adnani, J., Hattaf, K., Yousfi, N.: Stability analysis of a stochastic SIR epidemic model with specific nonlinear incidence rate. Int. J. Stoch. Anal. 2013, Article ID 431257 (2013). doi: 10.1155/2013/431257
- 2.Anderson, R.M., May, R.M.: Infectious Diseases of Humans: Dynamics and Control. Oxford Univ Press, Oxford (1991)Google Scholar
- 3.Anderson, R.M., May, R.M.: Population Biological of Infectious Disease. Springer, Heidelberg (1982)CrossRefGoogle Scholar
- 4.Benedetti, J., Corey, L., Ashley, R.: Recurrence rates in genital herpes after symptomatic first-episode infection. Ann. Int. Med. 121(11), 847–854 (1994)CrossRefGoogle Scholar
- 5.Capasso, V., Serio, G.: A generalization of the Kermack–McKendrick deterministic epidemic model. Math. Biosci. 42(1), 43–61 (1978)MathSciNetCrossRefMATHGoogle Scholar
- 6.Cheng, Y., Wang, J., Yang, X.: On the global stability of a generalized cholera epidemiological model. J. Biol. Dyn. 6(2), 1088–1104 (2012)CrossRefGoogle Scholar
- 7.Cui, J., Sun, Y., Zhu, H.: The impact of media on the control of infectious diseases. J. Dyn. Differ. Equ. 20(1), 31–53 (2008)MathSciNetCrossRefMATHGoogle Scholar
- 8.Hethcote, H.W.: The mathematics of infectious diseases. SIAM Rev. 42(4), 599–653 (2000)MathSciNetCrossRefMATHGoogle Scholar
- 9.Huang, G., Takeuchi, Y., Ma, W., Wei, D.: Global stability for delay SIR and SEIR epidemic models with nonlinear incidence rate. Bull. Math. Biol. 72, 1192–1207 (2010)MathSciNetCrossRefMATHGoogle Scholar
- 10.Kaddar, A.: On the dynamics of a delayed SIR epidemic model with a modified saturated incidence rate. Electron. J. Differ. Equ. 2009(133), 1–7 (2009)MathSciNetMATHGoogle Scholar
- 11.Kermack, W.O., McKendrick, A.G.: A contribution to the mathematical theory of epidemics. Proc. R Soc. Lond. Ser. A Math. Phys. Eng. Sci. 115(722), 700–721 (1927)CrossRefMATHGoogle Scholar
- 12.Kermack, W.O., McKendrick, A.G.: Contributions to the mathematical theory of epidemics-II. The problem of endemicity. Bull. Math. Biol. 53(1), 57–87 (1991)MATHGoogle Scholar
- 13.Kim, A.Y., Schulze zur Wiesch, J., Kuntzen, T., et al.: Impaired hepatitis C virus-specific T cell responses and recurrent hepatitis C virus in HIV coinfection. PLoS Med. 3(12), e492 (2006)CrossRefGoogle Scholar
- 14.Kimberlin, D.W., Rouse, D.J.: Genital herpes. N. Engl. J. Med. 350, 1970–1977 (2004)CrossRefGoogle Scholar
- 15.Korobeinikov, A.: Lyapunov functions and global stability for SIR and SIRS epidemiological models with non-linear transmission. Bull. Math. Biol. 68(3), 615–626 (2006)MathSciNetCrossRefMATHGoogle Scholar
- 16.Korobeinikov, A.: Global properties of infectious disease models with nonlinear incidence. Bull. Math. Biol. 69(6), 1871–1886 (2007)MathSciNetCrossRefMATHGoogle Scholar
- 17.Korobeinikov, A., Maini, P.: Non-linear incidence and stability of infectious disease models. Math. Med. Biol. 22(2), 113–128 (2005)CrossRefMATHGoogle Scholar
- 18.La Salle, J.P.: The stability of dynamical systems. In: Regional Conference Series in Applied Mathematics, SIAM, Philadelphia, PA (1976)Google Scholar
- 19.Lahrouz, A., Omari, L., Kiouach, D., Belmaâtic, A.: Complete global stability for an SIRS epidemic model with generalized non-linear incidence and vaccination. Appl. Math. Comput. 218(11), 6519–6525 (2012)MathSciNetMATHGoogle Scholar
- 20.Lambert, M.L., Hasker, E., Van Deun, A., Roberfroid, D., Boelaert, M., Van der, S.P.: Recurrence in tuberculosis: relapse or reinfection? Lancet Infect. Dis. 3(5), 282–287 (2003)CrossRefGoogle Scholar
- 21.Li, B., Yuan, S., Zhang, W.G.: Analysis on an epidemic model with a ratio-dependent nonlinear incidence rate. Int. J. Biomath. 4(02), 227–239 (2011)MathSciNetCrossRefMATHGoogle Scholar
- 22.Li, M.Y., Muldowney, J.S.: Dynamics of differential equations on invariant manifolds. J. Differ. Equ. 168(2), 295–320 (2000)MathSciNetCrossRefMATHGoogle Scholar
- 23.Li, M.Y., Muldowney, J.S.: Global stability for the SEIR model in epidemiology. Math. Biosci. 125(2), 155–164 (1995)MathSciNetCrossRefMATHGoogle Scholar
- 24.Liu, L., Wang, J., Liu, X.: Global stability of an SEIR epidemic model with age-dependent latency and relapse. Nonlinear Anal. Real World Appl. 24(1), 18–35 (2015)MathSciNetCrossRefMATHGoogle Scholar
- 25.Liu, S., Pang, L., Ruan, S., Zhang, X.: Global dynamics of avian influenza epidemic models with psychological effect. Comput. Math. Methods Med. 2015, Article ID 913726 (2015). doi: 10.1155/2015/913726
- 26.Liu, W., Hethcote, H.W., Levin, S.A.: Dynamical behavior of epidemiological models with nonlinear incidence rates. J. Math. Biol. 25(4), 359–380 (1987)MathSciNetCrossRefMATHGoogle Scholar
- 27.Liu, W., Levin, S., Iwasa, Y.: Influence of nonlinear incidence rates upon the behavior of SIRS epidemiological models. J. Math. Biol. 23(2), 187–204 (1986)MathSciNetCrossRefMATHGoogle Scholar
- 28.Liu, X., Yang, L.: Stability analysis of an SEIQV epidemic model with saturated incidence rate. Nonlinear Anal. Real World Appl. 13(6), 2671–2679 (2012)MathSciNetCrossRefMATHGoogle Scholar
- 29.Liu, Y., Cui, J.: The impact of media coverage on the dynamics of infectious disease. Int. J. Biomath. 1(01), 65–74 (2008)MathSciNetCrossRefMATHGoogle Scholar
- 30.Marzano, A., Gaia, S., Ghisetti, V., et al.: Viral load at the time of liver transplantation and risk of hepatitis B virus recurrence. Liver Transplant. 11(4), 402–409 (2005)CrossRefGoogle Scholar
- 31.McCluskey, C.C.: Global stability for an SIR epidemic model with delay and nonlinear incidence. Nonlinear Anal. Real World Appl. 11(4), 3106–3109 (2010)MathSciNetCrossRefMATHGoogle Scholar
- 32.Nyabadza, F., Mukandavire, Z., Hove-Musekwa, S.D.: Modelling the HIV/AIDS epidemic trends in South Africa: insights from a simple mathematical model. Nonlinear Anal. Real World Appl. 12(4), 2091–2104 (2011)MathSciNetCrossRefMATHGoogle Scholar
- 33.Pang, J., Cui, J., Zhou, X.: Dynamical behavior of a hepatitis B virus transmission model with vaccination. J. Theor. Biol. 265(4), 572–578 (2010)MathSciNetCrossRefGoogle Scholar
- 34.Ruan, S., Wang, W.: Dynamical behavior of an epidemic model with a nonlinear incidence rate. J. Differ. Equ. 188, 135–163 (2003)MathSciNetCrossRefMATHGoogle Scholar
- 35.Sun, C., Lin, Y., Tang, S.: Global stability for an special SEIR epidemic model with nonlinear incidence rates. Chaos Solitons Fractals 33(1), 290–297 (2007)MathSciNetCrossRefMATHGoogle Scholar
- 36.Tchuenche, J.M., Dube, N., Bhunu, C.P., Smith, R.J., Bauch, C.T.: The impact of media coverage on the transmission dynamics of human influenza. BMC Public Health 11(Suppl 1), S5 (2011). doi: 10.1186/1471-2458-11-S1-S5 Google Scholar
- 37.Teng, Z., Wang, L., Nie, L.: Global attractivity for a class of delayed discrete SIRS epidemic models with general nonlinear incidence. Math. Methods Appl. Sci. (2015). doi: 10.1002/mma.3389 MathSciNetMATHGoogle Scholar
- 38.Van den Driessche, P., Li, M.Y., Muldowney, J.S.: Global stability of SEIRS models in epidemiology. Can. Appl. Math. Q. 7(1), 409–425 (1999)MathSciNetMATHGoogle Scholar
- 39.Van den Driessche, P., Zou, X.: Modeling relapse in infectious diseases. Math. Biosci. 207(1), 89–103 (2007)MathSciNetCrossRefMATHGoogle Scholar
- 40.Van den Driessche, P., Wang, L., Zou, X.: Modeling diseases with latency and relapse. Math. Biosci. Eng. 4(2), 205 (2007)MathSciNetCrossRefMATHGoogle Scholar
- 41.Van den Driessche, P., Watmough, J.: Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission. Math. Biosci. 180(1), 29–48 (2002)MathSciNetCrossRefMATHGoogle Scholar
- 42.Wang, L., Li, Y., Pang, L.: Dynamics analysis of an epidemiological model with media impact and two delays. Math. Probl. Eng. 2016, Art. ID 1598932 (2016)Google Scholar
- 43.Wang, L., Liu, Z., Zhang, X.: Global dynamics for an age-structured epidemic model with media impact and incomplete vaccination. Nonlinear Anal. Real World Appl. 32, 136–158 (2016)MathSciNetCrossRefMATHGoogle Scholar
- 44.Wang, L., Liu, Z., Zhang, X.: Global dynamics of an SVEIR epidemic model with distributed delay and nonlinear incidence. Appl. Math. Comput. 284, 47–65 (2016)MathSciNetGoogle Scholar
- 45.Wang, X., Liu, S.: An epidemic model with different distributed latencies and nonlinear incidence rate. Appl. Math. Comput. 241(1), 259–266 (2014)MathSciNetMATHGoogle Scholar
- 46.Wei, C., Chen, L.: A delayed epidemic model with pulse vaccination. Discrete Dyn. Nat. Soc. 2008, Article ID 746951 (2008). doi: 10.1155/2008/746951
- 47.Wolkowicz, G.S.K., Lu, Z.: Global dynamics of a mathematical model of competition in the chemostat: general response functions and differential death rates. SIAM J. Appl. Math. 52(1), 222–233 (1992)MathSciNetCrossRefMATHGoogle Scholar
- 48.Xiao, D., Ruan, S.: Global analysis of an epidemic model with nonmonotone incidence rate. Math. Biosci. 208(2), 419–429 (2007)MathSciNetCrossRefMATHGoogle Scholar
- 49.Xu, R.: Global dynamics of an SEIRI epidemiological model with time delay. Appl. Math. Comput. 232(1), 436–444 (2014)MathSciNetGoogle Scholar
- 50.Yuan, S., Li, B.: Global dynamics of an epidemic model with a ratio-dependent nonlinear incidence rate. Discret. Dyn. Nat. Soc. 2009, Article ID 609306 (2009). doi: 10.1155/2009/609306
- 51.Zhou, Y., Cui, J.: Global stability of the viral dynamics with Crowley–Martin functional response. Bull. Korean Math. Soc. 48(1), 555–574 (2011)MathSciNetCrossRefMATHGoogle Scholar
- 52.Zhou, Y., Xiao, D., Li, Y.: Bifurcations of an epidemic model with non-monotonic incidence rate of saturated mass action. Chaos Solitons Fractals 32(5), 1903–1915 (2007)MathSciNetCrossRefMATHGoogle Scholar