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doi: 10.3934/dcdsb.2021239
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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

Received  May 2021 Revised  July 2021 Early access October 2021

Fund Project: 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)

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: West Nile virus, basic reproduction number, extrinsic incubation period, threshold dynamics, culling.
Mathematics Subject Classification: Primary: 92D30, 37N25; Secondary: 34K13.
Citation: Yaxin Han, Zhenguo Bai. Threshold dynamics of a West Nile virus model with impulsive culling and incubation period. Discrete & Continuous Dynamical Systems - B, doi: 10.3934/dcdsb.2021239
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.  Google Scholar

[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.  Google Scholar

[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.  Google Scholar

[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.  Google Scholar

[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.  Google Scholar

[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.  Google Scholar

[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.  Google Scholar

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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.   Google Scholar

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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.  Google Scholar

[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.  Google Scholar

[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.  Google Scholar

[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.  Google Scholar

[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.  Google Scholar

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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.  Google Scholar

[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.  Google Scholar

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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.  Google Scholar

[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.  Google Scholar

[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.  Google Scholar

[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.  Google Scholar

[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.  Google Scholar

[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.  Google Scholar

[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.  Google Scholar

[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.  Google Scholar

[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.  Google Scholar

[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.  Google Scholar

[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.  Google Scholar

[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.  Google Scholar

[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.  Google Scholar

[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.  Google Scholar

show all references

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.  Google Scholar

[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.  Google Scholar

[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.  Google Scholar

[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.  Google Scholar

[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.  Google Scholar

[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.  Google Scholar

[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.  Google Scholar

[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.   Google Scholar

[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.  Google Scholar

[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.  Google Scholar

[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.  Google Scholar

[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.  Google Scholar

[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.  Google Scholar

[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.  Google Scholar

[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.  Google Scholar

[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.  Google Scholar

[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.  Google Scholar

[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.  Google Scholar

[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.  Google Scholar

[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.  Google Scholar

[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.  Google Scholar

[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.  Google Scholar

[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.  Google Scholar

[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.  Google Scholar

[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.  Google Scholar

[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.  Google Scholar

[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.  Google Scholar

[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.  Google Scholar

[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.  Google Scholar

Figure 1.  Comparison of the long-term behavior of infectious mosquitoes and birds in different scenarios: culling and without culling.
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Figure 2.  Sensitivity analysis of $ \mathcal{R}_0 $. PRCCs represents the sensitivity index of $ \mathcal {R}_0 $
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Figure 3.  The curve of $ \mathcal{R}_0 $ with respect to $ \tau $ for different culling interval
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Figure 1">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
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