Global dynamics of a vector-host epidemic model with age of infection

  • Received: 01 July 2016 Accepted: 01 December 2016 Published: 01 October 2017
  • MSC : Primary: 92D30

  • In this paper, a partial differential equation (PDE) model is proposed to explore the transmission dynamics of vector-borne diseases. The model includes both incubation age of the exposed hosts and infection age of the infectious hosts which describe incubation-age dependent removal rates in the latent period and the variable infectiousness in the infectious period, respectively. The reproductive number $\mathcal R_0$ is derived. By using the method of Lyapunov function, the global dynamics of the PDE model is further established, and the results show that the basic reproduction number $\mathcal R_0$ determines the transmission dynamics of vector-borne diseases: the disease-free equilibrium is globally asymptotically stable if $\mathcal R_0≤ 1$ , and the endemic equilibrium is globally asymptotically stable if $\mathcal{R}_0 \gt 1$ . The results suggest that an effective strategy to contain vector-borne diseases is decreasing the basic reproduction number $\mathcal{R}_0$ below one.

    Citation: Yan-Xia Dang, Zhi-Peng Qiu, Xue-Zhi Li, Maia Martcheva. Global dynamics of a vector-host epidemic model with age of infection[J]. Mathematical Biosciences and Engineering, 2017, 14(5&6): 1159-1186. doi: 10.3934/mbe.2017060

    Related Papers:

  • In this paper, a partial differential equation (PDE) model is proposed to explore the transmission dynamics of vector-borne diseases. The model includes both incubation age of the exposed hosts and infection age of the infectious hosts which describe incubation-age dependent removal rates in the latent period and the variable infectiousness in the infectious period, respectively. The reproductive number $\mathcal R_0$ is derived. By using the method of Lyapunov function, the global dynamics of the PDE model is further established, and the results show that the basic reproduction number $\mathcal R_0$ determines the transmission dynamics of vector-borne diseases: the disease-free equilibrium is globally asymptotically stable if $\mathcal R_0≤ 1$ , and the endemic equilibrium is globally asymptotically stable if $\mathcal{R}_0 \gt 1$ . The results suggest that an effective strategy to contain vector-borne diseases is decreasing the basic reproduction number $\mathcal{R}_0$ below one.


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    [1] [ http://www.who.int/mediacentre/factsheets/fs387/en/.
    [2] [ http://www.shanghaidaily.com/national/Guangdong-sees-1074-new-dengue-cases/shdaily.shtml.
    [3] [ R. M. Anderson and R. M. May, Infectious Disease of Humans: Dynamics and Control, Oxford University Press, Oxford, 1991.
    [4] [ C. Bowman,A. B. Gumel,J. Wu,P. V. Driessche,H. Zhu, A mathematical model for assessing control strategies against West Nile virus, Bull. Math. Biol., 67 (2005): 1107-1133.
    [5] [ F. Brauer, P. V. Driessche and J. Wu, eds., Mathematical Epidemiology, Lecture Notes in Math, Springer, Berlin, 2008.
    [6] [ F. Brauer,Z. S. Shuai,P. V. Driessche, Dynamics of an age-of-infection cholera model, Math. Biosci. Eng., 10 (2013): 1335-1349.
    [7] [ S. Busenberg,K. Cooke,M. Iannelli, Endemic threshold and stability in a class of age-structured epidemics, SIAM J. Appl. Math., 48 (1988): 1379-1395.
    [8] [ S. N. Busenberg,M. Iannelli,H. R. Thieme, Global behavior of an age-structured epdiemic model, SIAM J. Math. Anal., 22 (1991): 1065-1080.
    [9] [ S. Busenberg,M. Iannelli,H. Thieme, Dynamics of an age structured epidemic model, in: S.T. Liao, Y.Q. Ye, T.R. Ding (Eds.), Dynamical Systems, Nankai Series in Pure, Applied Mathematics and Theoretical Physics, 4 (1993): 1-19.
    [10] [ C. Castillo-Chavez,Z. Feng, Global stability of an age-structure model for TB and its applications to optimal vaccination strategies, Math. Biosci., 151 (1998): 135-154.
    [11] [ Y. Cha,M. Iannelli,F. A. Milner, Existence and uniqueness of endemic states for the age-structured SIR epidemic model, Math. Biosci., 150 (1998): 177-190.
    [12] [ Z. L. Feng,J. X. Velasco-Hernandez, Competitive exclusion in a vector-host model for the dengue fever, J. Math. Biol., 35 (1997): 523-544.
    [13] [ Z. Feng,W. Huang,C. Castillo-Chavez, Global behavior of a multi-group SIS epidemic model with age structure, J. Diff. Equs., 218 (2005): 292-324.
    [14] [ H. Guo,M. Y. Li,Z. Shuai, Global stability of the endemic equilibrium of multigroup sir epidemic models, Can. Appl. Math. Q., 14 (2006): 259-284.
    [15] [ H. Guo,M. Y. Li,Z. Shuai, A graph-theoretic approach to the method of global lyapunov functions, Proc. Amer. Math. Soc., 136 (2008): 2793-2802.
    [16] [ H. Inaba,H. Sekine, A mathematical model for chagas disease with infection-age-dependent infectivity, Math, Biosci., 190 (2004): 39-69.
    [17] [ H. Inaba, Mathematical analysis of an age-structured SIR epidemic model with vertical transmission, Dis. Con. Dyn. Sys. B, 6 (2006): 69-96.
    [18] [ M. Y. Li,Z. Shuai, Global-stability problem for coupled systems of differential equations on networks, J. Diff. Equs., 248 (2010): 1-20.
    [19] [ A. L. Lloyd, Destabilization of epidemic models with the inclusion of realistic distributions of infectious periods, Proc. Roy. Soc. Lond. B., 268 (2001): 985-993.
    [20] [ A. L. Lloyd, Realistic distributions of infectious periods in epidemic models: Changing patterns of persistence and dynamics, Theor. Popul. Biol., 60 (2001): 59-71.
    [21] [ P. Magal,C. C. McCluskey,G. Webb, Lyapunov functional and global asymptotic stability for an infection-age model, Appl. Anal., 89 (2010): 1109-1140.
    [22] [ P. Magal,C. McCluskey, Two group infection age model: An application to nosocomial infection, SIAM J. Appl. Math., 73 (2013): 1058-1095.
    [23] [ M. Martcheva,F. Hoppensteadt, India's approach to eliminating plasmodium falciparum malaria: A Modeling perspective, J. Biol. Systems, 18 (2010): 867-891.
    [24] [ M. Martcheva,X. Z. Li, Competitive exclusion in an infection-age structured model with environmental transmission, Math. Anal. Appl., 408 (2013): 225-246.
    [25] [ M. Martcheva,H. R. Thieme, Progression age enhanced backward bifurcation in an epidemic model with super-infection, J. Math. Biol., 46 (2003): 385-424.
    [26] [ G. C. Pachecoa,L. Estevab,J. A. Montano-Hirosec,C. Vargasd, Modelling the dynamics of West Nile Virus, Bull. Math. Biol., 67 (2005): 1157-1172.
    [27] [ Z. P. Qiu,Q. K. Kong,X. Z. Li,M. M. Martcheva, The vector-host epidemic model with multiple strains in a patchy environment, J. Math. Anal. Appl., 405 (2013): 12-36.
    [28] [ Z. P. Qiu,Z. L. Feng, Transmission dynamics of an influenza model with age of infection and antiviral treatment, J. Dyn. Diff. Equat., 22 (2010): 823-851.
    [29] [ H. R. Thieme,C. Castillo-Chavez, How may infection-age-dependent infectivity affect the dynamics if HIV/AIDs?, SIAM J. Appl. Math., 53 (1993): 1447-1479.
    [30] [ J. Tumwiine,J. Y. Mugisha,L. S. Luboobi, A mathematical model for the dynamics of malaria in a human host and mosquito vector with temporary immunity, Appl. Math. Comput., 189 (2007): 1953-1965.
    [31] [ J. X. Yang,Z. P. Qiu,X. Z. Li, Global stability of an age-structured cholera model, Math. Biol. Enger., 11 (2014): 641-665.
    [32] [ P. Zhang,Z. Feng,F. Milner, A schistosomiasis model with an age-structure in human hosts and its application to treatment strategies, Math. Biosci., 205 (2007): 83-107.
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