Threshold dynamics of a West Nile virus model with impulsive culling and incubation period

Yaxin Han; Zhenguo Bai

doi:10.3934/dcdsb.2021239

Article Contents

2022, Volume 27, Issue 8: 4515-4529. Doi: 10.3934/dcdsb.2021239

This issue Previous Article Modeling the effect of activation of CD4$^+$ T cells on HIV dynamics Next Article Large time behavior in a predator-prey system with pursuit-evasion interaction

Threshold dynamics of a West Nile virus model with impulsive culling and incubation period

Yaxin Han and
Zhenguo Bai^,

School of Mathematics and Statistics, Xidian University, , Xi'an, Shaanxi 710126, China

^* Corresponding author: Zhenguo Bai
^* Corresponding author: Zhenguo Bai

Received: May 2021

Revised: July 2021

Early access: October 2021

Published: August 2022

This research was supported by the NSF of China (No. 11971369), the NSF of Shaanxi Province of China (No. 2019JM-241) and the Fundamental Research Funds for the Central Universities (No. JB210711).

Abstract / Introduction Full Text(HTML) Figure(4) Related Papers Cited by

Abstract

In this paper, we propose a time-delayed West Nile virus (WNv) model with impulsive culling of mosquitoes. The mathematical difficulty lies in how to choose a suitable phase space and deal with the interaction of delay and impulse. By the recent theory developed in [3], we define the basic reproduction number $ \mathcal {R}_0 $ as the spectral radius of a linear integraloperator and show that $ \mathcal {R}_0 $ acts as a threshold parameter determining the persistence of the model. More precisely, it is proved that if $ \mathcal {R}_0<1 $, then the disease-free periodic solution is globally attractive, while if $ \mathcal {R}_0>1 $, then the disease is uniformly persistent.Numerical simulations suggest that culling frequency and culling rate are strongly influenced by the biting rate. We also find that prolonging the length of the incubation period in mosquitoes can reduce the risk of disease spreading.

Keywords:

Mathematics Subject Classification: Primary: 92D30, 37N25; Secondary: 34K13.

Citation:

Full Text(HTML)

Figure 1. Comparison of the long-term behavior of infectious mosquitoes and birds in different scenarios: culling and without culling.

Download: Full-size image PowerPoint slide

Figure 2. Sensitivity analysis of $ \mathcal{R}_0 $. PRCCs represents the sensitivity index of $ \mathcal {R}_0 $

Download: Full-size image PowerPoint slide

Figure 3. The curve of $ \mathcal{R}_0 $ with respect to $ \tau $ for different culling interval

Download: Full-size image PowerPoint slide

Figure 4. The contour plots of $ \mathcal {R}_0 $ with respect to $ T $ and $ p $ with different biting rate $ \beta $ equal to (a) 0.03, (b) 0.05, (c) 0.07. Other parameters are chosen as in Figure 1

Download: Full-size image PowerPoint slide

Related Papers

Cited by

References

[1]	S. Ai, J. Li and J. Lu, Mosquito-stage-structured malaria models and their global dynamics, SIAM J. Appl. Math., 72 (2012), 1213-1237. doi: 10.1137/110860318.
[2]	N. Bacaër and S. Guernaoui, The epidemic threshold of vector-borne diseases with seasonality, J. Math. Biol., 53 (2006), 421-436. doi: 10.1007/s00285-006-0015-0.
[3]	Z. Bai and X.-Q. Zhao, Basic reproduction ratios for periodic and time-delayed compartmental models with impulses, J. Math. Biol., 80 (2020), 1095-1117. doi: 10.1007/s00285-019-01452-2.
[4]	G. Ballinger and X. Liu, Existence, uniqueness and boundedness results for impulsive delay differential equations, Appl. Anal., 74 (2000), 71-93. doi: 10.1080/00036810008840804.
[5]	K. W. Blayneh, A. B. Gumel, S. Lenhart and T. Clayton, Backward bifurcation and optimal control in transmission dynamics of West Nile virus, Bull. Math. Biol., 72 (2010), 1006-1028. doi: 10.1007/s11538-009-9480-0.
[6]	C. Bowman, A. B. Gumel, P. van den Driessche, J. Wu and H. Zhu, A mathematical model for assessing control strategies against West Nile virus, Bull. Math. Biol., 67 (2005), 1107-1133. doi: 10.1016/j.bulm.2005.01.002.
[7]	G. Fan, J. Liu, P. van den Driessche, J. Wu and H. Zhu, The impact of maturation delay of mosquitoes on the transmission of West Nile virus, Math. Biosci., 228 (2010), 119-126. doi: 10.1016/j.mbs.2010.08.010.
[8]	S. Gao, L. Chen and Z. Teng, Impulsive vaccination of an SEIRS model with time delay and varying total population size, Bull. Math. Biol., 69 (2007), 731-745.
[9]	S. A. Gourley, R. Liu and J. Wu, Eradicating vector-borne diseases via age-structured culling, J. Math. Biol., 54 (2007), 309-335. doi: 10.1007/s00285-006-0050-x.
[10]	X. Hu, Y. Liu and J. Wu, Culling structured hosts to eradicate vector-borne diseases, Math. Biosci. Eng., 6 (2009), 301-319. doi: 10.3934/mbe.2009.6.301.
[11]	J. Jiang and Z. Qiu, The complete classification for dynamics in a nine-dimensional West Nile virus model, SIAM J. Appl. Math., 69 (2009), 1205-1227. doi: 10.1137/070709438.
[12]	J. Li, Simple stage-structured models for wild and transgenic mosquito populations, J. Difference Equ. Appl., 15 (2009), 327-347. doi: 10.1080/10236190802566491.
[13]	X. Liang and X.-Q. Zhao, Asymptotic speeds of spread and traveling waves for monotone semiflows with applications, Comm. Pure Appl. Math., 60 (2007), 1-40. doi: 10.1002/cpa.20154.
[14]	X. Liu, X. Shen and Y. Zhang, A comparison principle and stability for large-scale impulsive delay differential systems, ANZIAM J., 47 (2005), 203-235. doi: 10.1017/S1446181100009998.
[15]	Y. Lou and X.-Q. Zhao, A theoretical approach to understanding population dynamics with seasonal developmental durations, J. Nonlinear Sci., 27 (2017), 573-603. doi: 10.1007/s00332-016-9344-3.
[16]	D. Nash, F. Mostashari and A. Fine, The outbreak of West Nile virus infection in the New York City area in 1999, N. Engl. J. Med., 344 (2001), 1807-1814. doi: 10.1056/NEJM200106143442401.
[17]	S. Ruan, D. Xiao and J. C. Beier, On the delayed Ross-Macdonald model for malaria transmission, Bull. Math. Biol., 70 (2008), 1098-1114. doi: 10.1007/s11538-007-9292-z.
[18]	O. S. Sisodiya, O. P. Misra and J. Dhar, Dynamics of cholera epidemics with impulsive vaccination and disinfection, Math. Biosci., 298 (2018), 46-57. doi: 10.1016/j.mbs.2018.02.001.
[19]	H. R. Thieme, Spectral bound and reproduction number for infinite-dimensional population structure and time heterogeneity, SIAM J. Appl. Math., 70 (2009), 188-211. doi: 10.1137/080732870.
[20]	P. van den Driessche and J. Watmough, Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission, Math. Biosci., 180 (2002), 29-48. doi: 10.1016/S0025-5564(02)00108-6.
[21]	F.-B. Wang, R. Wu and X.-Q. Zhao, A West Nile virus transmission model with periodic incubation periods, SIAM J. Appl. Dyn. Syst., 18 (2019), 1498-1535. doi: 10.1137/18M1236162.
[22]	X. Wang and X.-Q. Zhao, A periodic vector-bias malaria model with incubation period, SIAM J. Appl. Math., 77 (2017), 181-201. doi: 10.1137/15M1046277.
[23]	M. J. Wonham, T. de-Camino-Beck and M. A. Lewis, An epidemiological model for West Nile virus: Invasion analysis and control applications, Proc. R. Soc. Lond. B., 271 (2004), 501-507. doi: 10.1098/rspb.2003.2608.
[24]	X. Xu, Y. Xiao and R. A. Cheke, Models of impulsive culling of mosquitoes to interrupt transmission of West Nile virus to birds, Appl. Math. Model., 39 (2015), 3549-3568. doi: 10.1016/j.apm.2014.10.072.
[25]	Z. Yang, C. Huang and X. Zou, Effect of impulsive controls in a model system for age-structured population over a patchy environment, J. Math. Biol., 76 (2018), 1387-1419. doi: 10.1007/s00285-017-1172-z.
[26]	T. Zhang and X.-Q. Zhao, Mathematical modeling for schistosomiasis with seasonal influence: A case study in Hubei, China, SIAM J. Appl. Dyn. Syst., 19 (2020), 1438-1471. doi: 10.1137/19M1280259.
[27]	X.-Q. Zhao, Basic reproduction ratios for periodic compartmental models with time delay, J. Dyn. Diff. Equat., 29 (2017), 67-82. doi: 10.1007/s10884-015-9425-2.
[28]	W. Zhou, Y. Xiao and R. A. Cheke, A threshold policy to interrupt transmission of West Nile Virus to birds, Appl. Math. Model., 40 (2016), 8794-8809. doi: 10.1016/j.apm.2016.05.040.
[29]	W. Zhou, Y. Xiao and J. M. Heffernan, A threshold policy to curb WNV transmission to birds with seasonality, Nonlinear Anal. Real World Appl., 59 (2021), 24pp. doi: 10.1016/j.nonrwa.2020.103273.