×

Dynamics of a delayed within host model for dengue infection with immune response and Beddington-DeAngelis incidence. (English) Zbl 1487.34134

Summary: In this paper, a new delayed within host model for dengue fever with immune response and Beddington-DeAngelis incidence is investigated. The basic reproduction number is computed. In addition, a detailed analysis on the local and global dynamics of the model is conducted. Finally, sensitivity analysis is carried out on basic reproduction number and numerical simulations are given to elucidate our theoretical results.

MSC:

34K18 Bifurcation theory of functional-differential equations
34K20 Stability theory of functional-differential equations
92D30 Epidemiology
Full Text: DOI

References:

[1] Ansari, H. and Hesaaraki, M., A with-in host dengue infection model with immune response and Beddington-DeAngelis incidence rate, Appl. Math.3(2) (2012) 177-184.
[2] Beddington, J. R., Mutual interference between parasites or predators and its effect on searching efficiency, J. Animal Ecol.44 (1975) 331-340.
[3] Clapham, H. E.et al., Within-host viral dynamics of dengue serotype 1 infection, J. R. Soc. Interface11(96) (2014) 1058-1069.
[4] Cushing, J. M.et al., Applied Analysis in Biological and Physical Sciences (Aligarh, 2015).
[5] DeAngelis, D. L., Goldstein, R. A. and O’Neill, R. V., A model for trophic interaction, Ecology56 (1975) 881-892.
[6] Driessche, P. and Watmough, J., Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission, Math. Biosci.180(1-2) (2002) 29-48. · Zbl 1015.92036
[7] Hale, J. K. and Waltman, P., Persistence in infinite-dimensional systems, SIAM J. Math. Anal.20(2) (1989) 388-395. · Zbl 0692.34053
[8] Hale, J. K. and Lunel, S. V., Introduction to Functional Differential Equations (New York, 1993). · Zbl 0787.34002
[9] Huang, G., Ma, W. and Takeuchi, Y., Global properties for virus dynamics model with Beddington-DeAngelis functional response, Appl. Math. Lett.22(11) (2009) 1690-1693. · Zbl 1178.37125
[10] Kuang, Y., Delay Differential Equations: With Applications in Population Dynamics (Arizona, 1993). · Zbl 0777.34002
[11] Marino, S., Hogue, I. B. and Ray, C. J., A methodology for performing global uncertainty and sensitivity analysis in systems biology, J. Theor. Biol.254 (2008) 178-196. · Zbl 1400.92013
[12] Martcheva, M., An Introduction to Mathematical Epidemiology (New York, 2015). · Zbl 1333.92006
[13] Mishra, A. and Gakkhar, S., A micro-epidemic model for primary dengue infection, Commun. Nonlinear Sci. Numer. Simul.47 (2016) 426-437. · Zbl 1510.92224
[14] Nuraini, N.et al., A with-in host dengue infection model with immune response, Math. Comput. Model.49(5-6) (2009) 1148-1155. · Zbl 1165.37340
[15] Perera, S. and Perera, S., Mathematical analysis of dengue virus antibody dynamics, Am. Inst. Phys.Conf. Ser.1937 (2018) 020014. · Zbl 1411.92286
[16] Regoes, R. R., Ebert, D. and Bonhoeffer, S., Dose-dependent infection rates of parasites produce the Allee effect in epidemiology, Proc. R. Soc. Lond. Ser. B269 (2002) 271-279.
[17] Sasmal, S. K., Dong, Y. and Takeuchi, Y., Mathematical modeling on T-cell mediated adaptive immunity in primary dengue infections, J. Theor. Biol.429 (2017) 229-240. · Zbl 1382.92180
[18] Su, T., From West Nile virus infection in the USA to dengue fever in China, China Trop. Med.18(3) (2018) 199-206.
[19] Tian, X. and Xu, R., Global stability and Hopf bifurcation of an HIV-1 infection model with saturation incidence and delayed CTL immune response, Appl. Math. Comput.237 (2014) 146-154. · Zbl 1334.92241
[20] Tunc, C., On the stability and boundedness of solutions in a class of nonlinear differential equations of fourth order with constant delay, Vietnam J. Math.38(4) (2010) 453-466. · Zbl 1226.34072
[21] World Health Organization. Dengue and dengue haemorrhagic fever (2019), https://www.who.int/en/news-room/fact-sheets/detail/dengue-and-severe-dengue.
[22] Wang, Y., Liu, J. and Heffernan, J. M., Viral dynamics of an HTLV-I infection model with intracellular delay and CTL immune response delay, J. Math. Anal. Appl.459 (2018) 506-527. · Zbl 1381.34106
[23] Yan, X. and Li, W., Stability and bifurcation in a simplified four-neuron BAM neural network with multiple delays, Discrete Dyn. Nat. Soc.2006(4) (2014) 520-530.
[24] Yang, Y., Stability and Hopf bifurcation of a delayed virus infection model with Beddington-DeAngelis infection function and cytotoxic T-lymphocyte immune response, Math. Meth. Appl. Sci.38(18) (2015) 5253-5263. · Zbl 1337.34086
[25] Yoshizawa, T., Stability Theory by Liapunov’s Second Method (Japan, 1966). · Zbl 0144.10802
[26] Zhao, H., Luo, Q. and Shen, G., The epidemic of dengue fever at Shiwanzhen of Foshan city in 1978, Natl. Med. J. China61(8) (1981) 466-469.
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.