[1]
|
M. Alexander and S. Moghadas, Periodicity in an epidemic model with a generalized non-linear incidence, Mathematical Biosciences, 2004,189(1), 75–96.
Google Scholar
|
[2]
|
O. J. Brady, P. W. Gething, S. Bhatt et al., Refining the global spatial limits of dengue virus transmission by evidence-based consensus, PLoS neglected tropical diseases, 2012, 6(8), e1760.
Google Scholar
|
[3]
|
T. Britton and A. Traoré, A stochastic vector-borne epidemic model: Quasi-stationarity and extinction, Mathematical Biosciences, 2017,289, 89–95.
Google Scholar
|
[4]
|
Y. Cai, Y. Kang, M. Banerjee and W. Wang, Complex dynamics of a host-parasite model with both horizontal and vertical transmissions in a spatial heterogeneous environment, Nonlinear Analysis: Real World Applications, 2018, 40,444–465.
Google Scholar
|
[5]
|
Z. Chang, X. Meng and T. Zhang, A new way of investigating the asymptotic behaviour of a stochastic sis system with multiplicative noise, Applied Mathematics Letters, 2019, 87, 80–86.
Google Scholar
|
[6]
|
J. Cui, X. Tao and H. Zhu, An sis infection model incorporating media coverage, Rocky Mountain Journal of Mathematics, 2008, 38(2008), 1323–1334.
Google Scholar
|
[7]
|
R. Cui and Y. Lou, A spatial sis model in advective heterogeneous environments, Journal of Differential Equations, 2016,261(6), 3305–3343.
Google Scholar
|
[8]
|
N. Dalal, D. Greenhalgh and X. Mao, A stochastic model for internal hiv dynamics, Journal of Mathematical Analysis and Applications, 2008,341(2), 1084–1101.
Google Scholar
|
[9]
|
T. Feng, X. Meng, L. Liu and S. Gao, Application of inequalities technique to dynamics analysis of a stochastic eco-epidemiology model, Journal of Inequalities and Applications, 2016, 2016(1), 327.
Google Scholar
|
[10]
|
T. Feng and Z. Qiu, Global analysis of a stochastic tb model with vaccination and treatment, Discrete and Continuous Dynamical Systems-Series B, 2019, 24(6), 2923–2939.
Google Scholar
|
[11]
|
T. Feng and Z. Qiu, Global dynamics of deterministic and stochastic epidemic systems with nonmonotone incidence rate, International Journal of Biomathematics, 2018, 11(8), 1850101.
Google Scholar
|
[12]
|
T. Feng, Z. Qiu, X. Meng and L. Rong, Analysis of a stochastic hiv-1 infection model with degenerate diffusion, Applied Mathematics and Computation, 2019,348,437–455.
Google Scholar
|
[13]
|
N. M. Ferguson, M. J. Keeling, W. J. Edmunds et al., Planning for smallpox outbreaks, Nature, 2003,425(6959), 681–685.
Google Scholar
|
[14]
|
A. Gray, D. Greenhalgh, L. Hu et al., A stochastic differential equation sis epidemic model, SIAM Journal on Applied Mathematics, 2011, 71(3), 876–902.
Google Scholar
|
[15]
|
N. Hernandez-Ceron, Z. Feng and C. Castillo-Chavez, Discrete epidemic models with arbitrary stage distributions and applications to disease control, Bulletin of Mathematical Biology, 2013, 75(10), 1716–1746.
Google Scholar
|
[16]
|
D. J. Higham., An algorithmic introduction to numerical simulation of stochastic differential equations, SIAM Review, 2001, 43(3), 525–546.
Google Scholar
|
[17]
|
Z. Hu, W. Ma and S. Ruan, Analysis of sir epidemic models with nonlinear incidence rate and treatment, Mathematical Biosciences, 2012,238(1), 12–20.
Google Scholar
|
[18]
|
S. Iwami, Y. Takeuchi and X. Liu, Avian-human influenza epidemic model, Mathematical Biosciences, 2007,207(1), 1–25.
Google Scholar
|
[19]
|
J. Jiang and Z. Qiu, The complete classification for dynamics in a nine-dimensional west nile virus model, SIAM Journal on Applied Mathematics, 2009, 69(5), 1205–1227.
Google Scholar
|
[20]
|
J. Jiang, Z. Qiu, J. Wu and H. Zhu, Threshold conditions for west nile virus outbreaks, Bulletin of Mathematical Biology, 2009, 71(3), 627–647.
Google Scholar
|
[21]
|
Y. Kang and C. Castillo-Chavez, Dynamics of si models with both horizontal and vertical transmissions as well as allee effects, Mathematical Biosciences, 2014,248, 97–116.
Google Scholar
|
[22]
|
R. Khasminskii, Stochastic stability of differential equations, 66, Springer Science and Business Media, 2011.
Google Scholar
|
[23]
|
A. Korobeinikov, Global properties of infectious disease models with nonlinear incidence, Bulletin of Mathematical Biology, 2007, 69(6), 1871–1886.
Google Scholar
|
[24]
|
M. Li, Z. Jin, G. Sun and J. Zhang, Modeling direct and indirect disease transmission using multi-group model, Journal of Mathematical Analysis and Applications, 2017,446(2), 1292–1309.
Google Scholar
|
[25]
|
Y. Li and J. Cui, The effect of constant and pulse vaccination on sis epidemic models incorporating media coverage, Communications in Nonlinear Science and Numerical Simulation, 2009, 14(5), 2353–2365.
Google Scholar
|
[26]
|
H. Mantina, C. Kankasa, W. Klaskala et al., Vertical transmission of kaposi's sarcoma-associated herpesvirus, International Journal of Cancer, 2001, 94(5), 749–752.
Google Scholar
|
[27]
|
X. Mao, Stochastic differential equations and applications, Elsevier, 2007.
Google Scholar
|
[28]
|
P. Marcati and M. A. Pozio, Global asymptotic stability for a vector disease model with spatial spread, Journal of Mathematical Biology, 1980, 9(2), 179–187.
Google Scholar
|
[29]
|
X. Meng, F. Li and S. Gao, Global analysis and numerical simulations of a novel stochastic eco-epidemiological model with time delay, Applied Mathematics and Computation, 2018, 339, 701–726.
Google Scholar
|
[30]
|
X. Meng, L. Wang and T. Zhang, Global dynamics analysis of a nonlinear impulsive stochastic chemostat system in a polluted environment, Journal of Applied Analysis and Computation, 2016, 6(3), 865–875.
Google Scholar
|
[31]
|
A. Miao, T. Zhang, J. Zhang and C. Wang, Dynamics of a stochastic sir model with both horizontal and vertical transmission, Journal of Applied Analysis and Computation, 2018, 8(4), 1108–1121.
Google Scholar
|
[32]
|
Y. Nakata and T. Kuniya, Global dynamics of a class of seirs epidemic models in a periodic environment, Journal of Mathematical Analysis and Applications, 2010, 363(1), 230–237.
Google Scholar
|
[33]
|
Z. Qiu, M. Y. Li and Z. Shen, Global dynamics of an infinite dimensional epidemic model with nonlocal state structures, Journal of Differential Equations, 2018, 265(10), 5262–5296.
Google Scholar
|
[34]
|
Y. Song, A. Miao, T. Zhang et al., Extinction and persistence of a stochastic sirs epidemic model with saturated incidence rate and transfer from infectious to susceptible, Advances in Difference Equations, 2018, 2018(1), 293.
Google Scholar
|
[35]
|
J. Starke, Tuberculosis. an old disease but a new threat to the mother, fetus, and neonate, Clinics in perinatology, 1997, 24(1), 107–127.
Google Scholar
|
[36]
|
J. M. Tchuenche, N. Dube, C. P. Bhunu et al., The impact of media coverage on the transmission dynamics of human influenza, BMC Public Health, 2011, 11(1), S5.
Google Scholar
|
[37]
|
D. Tudor, A deterministic model for herpes infections in human and animal populations, Siam Review, 1990, 32(1), 136–139.
Google Scholar
|
[38]
|
P. van den Driessche and X. Zou, Modeling diseases with latency and relapse, Mathematical Biosciences and Engineering, 2007, 4(2), 205-219.
Google Scholar
|
[39]
|
F. Zhang and X. Zhao, A periodic epidemic model in a patchy environment, Journal of Mathematical Analysis and Applications, 2007, 325(1), 496–516.
Google Scholar
|
[40]
|
S. Zhang, X. Meng, T. Feng and T. Zhang, Dynamics analysis and numerical simulations of a stochastic non-autonomous predator-prey system with impulsive effects, Nonlinear Analysis: Hybrid Systems, 2017, 26, 19–37.
Google Scholar
|
[41]
|
W. Zhang, X. Meng and Y. Dong, Periodic solution and ergodic stationary distribution of stochastic siri epidemic systems with nonlinear perturbations, Journal of Systems Science and Complexity, 2019.
Google Scholar
|
[42]
|
K. Zhou, M. Han and Q. Wang, Traveling wave solutions for a delayed diffusive sir epidemic model with nonlinear incidence rate and external supplies, Mathematical Methods in the Applied Sciences, 2017, 40(7), 2772–2783.
Google Scholar
|