American Institute of Mathematical Sciences

Advanced
  • Previous Article
    A dynamic model of CT scans for quantifying doubling time of ground glass opacities using histogram analysis
  • MBE Home
  • This Issue
  • Next Article
    Quantifying the impact of early-stage contact tracing on controlling Ebola diffusion
October  2018, 15(5): 1181-1202. doi: 10.3934/mbe.2018054

Dynamics of delayed mosquitoes populations models with two different strategies of releasing sterile mosquitoes

Liming Cai 1,, , Shangbing Ai 2, and  Guihong Fan 3,

1. 

School of Mathematics and Statistics, Xinyang Normal University, Xinyang 46400, China
2. 

Department of Mathematical Sciences, University of Alabama in Huntsville, Huntsville, AL 35899, USA
3. 

Department of Mathematics, Columbus State University, Columbus, Georgia 31907, USA

* Corresponding author: limingcai@amss.ac.cn

Received  October 06, 2017 Revised  April 14, 2018 Published  May 2018

Fund Project: This research was supported partially the National Nature Science Foundation of China grant 11371305 and Nanhu Scholars Program for Young Scholars XYNU

To prevent the transmissions of mosquito-borne diseases (e.g., malaria, dengue fever), recent works have considered the problem of using the sterile insect technique to reduce or eradicate the wild mosquito population. It is important to consider how reproductive advantage of the wild mosquito population offsets the success of population replacement. In this work, we explore the interactive dynamics of the wild and sterile mosquitoes by incorporating the delay in terms of the growth stage of the wild mosquitoes. We analyze (both analytically and numerically) the role of time delay in two different ways of releasing sterile mosquitoes. Our results demonstrate that in the case of constant release rate, the delay does not affect the dynamics of the system and every solution of the system approaches to an equilibrium point; while in the case of the release rate proportional to the wild mosquito populations, the delay has a large effect on the dynamics of the system, namely, for some parameter ranges, when the delay is small, every solution of the system approaches to an equilibrium point; but as the delay increases, the solutions of the system exhibit oscillatory behavior via Hopf bifurcations. Numerical examples and bifurcation diagrams are also given to demonstrate rich dynamical features of the model in the latter release case.

Keywords: Mosquito population, stage-structure, stability, Hopf bifurcation.
Mathematics Subject Classification: Primary: 92D25, 92B05, 34D20, 34A34.
Citation: Liming Cai, Shangbing Ai, Guihong Fan. Dynamics of delayed mosquitoes populations models with two different strategies of releasing sterile mosquitoes. Mathematical Biosciences & Engineering, 2018, 15 (5) : 1181-1202. doi: 10.3934/mbe.2018054
References:
[1]

R. Abdul-Ghani, H. F. Farag, A. F. Allam and A. A. Azazy, Measuring resistant-genotype transmission of malaria parasites: challenges and prospects, Parasitol Res., 113 (2014), 1481-1487.  doi: 10.1007/s00436-014-3789-9.  Google Scholar

[2]

P. L. Alonso, G. Brown, M. Arevalo-Herrera, et al, A research agenda to underpin malaria eradication, PLoS Med., 8 (2011), e1000406. doi: 10.1371/journal.pmed.1000406.  Google Scholar

[3]

L. Alphey, M. Benedict, R. Bellini, G. G. Clark, D. A. Dame, M. W. Service and S. L. Dobson, Sterile-insect methods for control of mosquito-borne diseases: An analysis, Vector Borne Zoonotic Dis., 10 (2010), 295-311.  doi: 10.1089/vbz.2009.0014.  Google Scholar

[4]

J. Arino, L. Wang and G. S. Wolkowicz, An alternative formulation for a delayed logistic equation, J. Theor. Biol., 241 (2006), 109-119.  doi: 10.1016/j.jtbi.2005.11.007.  Google Scholar

[5]

M. Q. Benedict and A. S. Robinson, The first releases of transgenic mosquitoes: An argument for the sterile insect technique, Trends Parasitol, 19 (2003), 349-355.  doi: 10.1016/S1471-4922(03)00144-2.  Google Scholar

[6]

E. Beretta and Y. Kuang, Geometric stability switch criteria in delay differential systems with delay dependent parameters, SIAM J. Math. Anal., 33 (2002), 1144-1165.  doi: 10.1137/S0036141000376086.  Google Scholar

[7]

J. G. Breman, The ears of the hippopotamus: Manifestations, determinants, and estimates of the malaria burden, Am. J. Trop. Med. Hyg., 64 (2001), 1-11.  doi: 10.4269/ajtmh.2001.64.1.  Google Scholar

[8]

W. G. Brogdon and J. C. McAllister, Insecticide resistance and vector control, J. Agromedicine, 6 (1999), 41-58.   Google Scholar

[9]

L. Cai, S. Ai and J. Li, Dynamics of mosquitoes populations with different strategies for releasing sterile mosquitoes, SIAM, J. Appl. Math., 74 (2014), 1786-1809.  doi: 10.1137/13094102X.  Google Scholar

[10]

K. Cooke, P. van den Driessche and X. Zou, Interaction of maturation delay and nonlinear birth in population and epidemic models, J. Math. Biol., 39 (1999), 332-352.  doi: 10.1007/s002850050194.  Google Scholar

[11]

H. Diaz, A. A. Ramirez, A. Olarte and C. Clavijo, A model for the control of malaria using genetically modified vectors, J. Theor. Biol., 276 (2011), 57-66.  doi: 10.1016/j.jtbi.2011.01.053.  Google Scholar

[12]

J. Dieudonné, Foundations of Modern Analysis, Academic Press, New York, 1960.  Google Scholar

[13]

Y. Dumont and J. M. Tchuenche, Mathematical studies on the sterile insect technique for the Chikungunya disease and Aedes albopictus, J. Math. Biol., 65 (2012), 809-854.  doi: 10.1007/s00285-011-0477-6.  Google Scholar

[14]

V. A. Dyck, J. Hendrichs and A. S. Robinson, Sterile insect technique -principles and practice in area-wide integrated pest management, Springer, The Netherlands, 2005. Google Scholar

[15]

C. Dye, Models for the population dynamics of the yellow fever mosquito, Aedes aegypti, J. Anim. Ecol., 53 (1984), 247-268.  doi: 10.2307/4355.  Google Scholar

[16]

L. Esteva and H. M. Yang, Assessing the effects of temperature and dengue virus load on dengue transmission, J. Biol. Syst., 23 (2015), 527-554.  doi: 10.1142/S0218339015500278.  Google Scholar

[17]

L. Esteva and H. M. Yang, Mathematical model to assess the control of Aedes aegypti mosquitoes by the sterile insect technique, Math. Biosci., 198 (2005), 132-147.  doi: 10.1016/j.mbs.2005.06.004.  Google Scholar

[18]

J. E. Gentile, S. Rund and G. R Madey, Modelling sterile insect technique to control the population of Anopheles gambiae, Malaria J., 14 (2015), 92-103.  doi: 10.1186/s12936-015-0587-5.  Google Scholar

[19]

J. K. Hale and S. M. Verduyn Lunel, Introduction to Functional Differential Equation, Springer, New York, 1993. doi: 10.1007/978-1-4612-4342-7.  Google Scholar

[20]

J. Ito, A. Ghosh, L. A. Moreira, E. A. Wilmmer and M. Jacobs-Lorena, Transgenic anopheline mosquitoes impaired in transmission of a malria parasite, Nature, 417 (2002), 452-455.   Google Scholar

[21]

M. Jankovic and S. Petrovskii, Are time delays always destabilizing? Revisiting the role of time delays and the Allee effect, Theor Ecol., 7 (2014), 335-349.  doi: 10.1007/s12080-014-0222-z.  Google Scholar

[22]

E. F. Knipling, Possibilities of insect control or eradication through the use of sexually sterile males, J. Econ. Entomol., 48 (1955), 459-462.   Google Scholar

[23]

Y. Kuang, Delay Differential Equations with Applications in Population Dynamics, Academic Press, New York, 1993.  Google Scholar

[24]

S. S. Lee, R. E. Baker, E. A. Gaffney and S. M. White, Modelling Aedes aegypti mosquito control via transgenic and sterile insect techniques: Endemics and emerging outbreaks, J. Theor. Biol., 331 (2013), 78-90.  doi: 10.1016/j.jtbi.2013.04.014.  Google Scholar

[25]

M. A. Lewis and P. van den Driessche, Waves of extinction from sterile insect release, Math. Biosci., 116 (1993), 221-247.  doi: 10.1016/0025-5564(93)90067-K.  Google Scholar

[26]

J. Li, New revised simple models for interactive wild and sterile mosquito populations and their dynamics, J. Biol. Dyna., 11 (2017), 316-333.  doi: 10.1080/17513758.2016.1216613.  Google Scholar

[27]

J. Li, L. Cai and Y. Li, Stage-structured wild and sterile mosquito population models and their dynamics, J. Biol.Dyna., 11 (2017), 79-101.  doi: 10.1080/17513758.2016.1159740.  Google Scholar

[28]

J. Lu and J. Li, Dynamics of stage-structured discrete mosquito population, J. Appl. Anal. Comput., 1 (2011), 53-67.   Google Scholar

[29]

G. J. Lycett and F. C. Kafatos, Anti-malaria mosquitoes?, Nautre, 417 (2002), 387-388.   Google Scholar

[30]

C. W. Morin and A. C. Comrie, Regional and seasonal response of a West Nile virus vector to climate change, PNAS, 110 (2013), 15620-15625.  doi: 10.1073/pnas.1307135110.  Google Scholar

[31]

W. W. Murdoch, C. J. Briggs and R. M. Nisbet, Consumer-resource dynamics, Princeton University Press, New Jersey, USA, 2003. Google Scholar

[32]

H. K. Phuc, M. H. Andreasen, et al, Late-acting dominant lethal genetic systems and mosquito control, BMC. Biol., 5 (2007), 11–16. doi: 10.1186/1741-7007-5-11.  Google Scholar

[33]

E. P. Pliego, J. Vel$\acute{a}$zquez-Castro and A. F. Collar, Seasonality on the life cycle of Aedes aegypti mosquito and its statistical relation with dengue outbreaks, Appl. Math. Model., 50 (2017), 484-496.  doi: 10.1016/j.apm.2017.06.003.  Google Scholar

[34]

M. Rafikov, L. Bevilacqua and A. P. Wyse, Optimal control strategy of malaria vector using genetically modified mosquitoes, J. Theor. Biol., 258 (2009), 418-425.  doi: 10.1016/j.jtbi.2008.08.006.  Google Scholar

[35]

S. J. Schreiber, Allee effect, extinctions, and chaotic transients in simple population models, Theor. Popul. Biol., 64 (2003), 201-209.  doi: 10.1016/S0040-5809(03)00072-8.  Google Scholar

[36]

J. Smith, M. Amador and R. Barrera, Seasonal and habitat effects on dengue and West Nile Virus Vectors in San Juan, Puerto Rico, J. Am. Mosq. Control. Assoc., 25 (2009), 38-46.  doi: 10.2987/08-5782.1.  Google Scholar

[37]

H. Townson, SIT for African malaria vectors: Epilogue, Malar. J., 8 (2009), S10. doi: 10.1186/1475-2875-8-S2-S10.  Google Scholar

[38]

WHO, 10 facts on malaria, http://www.who.int/features/factfiles/malaria/en/. Google Scholar

[39]

J. Wu, H. R. Thieme, Y. Lou and G. Fan, Stability and persistence in ODE models for populations with many stages, Math. Biosc. Eng., 12 (2015), 661-686.  doi: 10.3934/mbe.2015.12.661.  Google Scholar

[40]

B. Zheng, M. Tang and J. Yu, Modeling Wolbachia spread in mosquitoes through delay differential equations, SIAM J. Appl. Math., 74 (2014), 743-770.  doi: 10.1137/13093354X.  Google Scholar

[41]

B. Zheng, M. Tang, J. Yu and J. Qiu, Wolbachia spreading dynamics in mosquitoes with imperfect maternal transmission, J. Math. Biol., 76 (2018), 235-263.  doi: 10.1007/s00285-017-1142-5.  Google Scholar

show all references

References:
[1]

R. Abdul-Ghani, H. F. Farag, A. F. Allam and A. A. Azazy, Measuring resistant-genotype transmission of malaria parasites: challenges and prospects, Parasitol Res., 113 (2014), 1481-1487.  doi: 10.1007/s00436-014-3789-9.  Google Scholar

[2]

P. L. Alonso, G. Brown, M. Arevalo-Herrera, et al, A research agenda to underpin malaria eradication, PLoS Med., 8 (2011), e1000406. doi: 10.1371/journal.pmed.1000406.  Google Scholar

[3]

L. Alphey, M. Benedict, R. Bellini, G. G. Clark, D. A. Dame, M. W. Service and S. L. Dobson, Sterile-insect methods for control of mosquito-borne diseases: An analysis, Vector Borne Zoonotic Dis., 10 (2010), 295-311.  doi: 10.1089/vbz.2009.0014.  Google Scholar

[4]

J. Arino, L. Wang and G. S. Wolkowicz, An alternative formulation for a delayed logistic equation, J. Theor. Biol., 241 (2006), 109-119.  doi: 10.1016/j.jtbi.2005.11.007.  Google Scholar

[5]

M. Q. Benedict and A. S. Robinson, The first releases of transgenic mosquitoes: An argument for the sterile insect technique, Trends Parasitol, 19 (2003), 349-355.  doi: 10.1016/S1471-4922(03)00144-2.  Google Scholar

[6]

E. Beretta and Y. Kuang, Geometric stability switch criteria in delay differential systems with delay dependent parameters, SIAM J. Math. Anal., 33 (2002), 1144-1165.  doi: 10.1137/S0036141000376086.  Google Scholar

[7]

J. G. Breman, The ears of the hippopotamus: Manifestations, determinants, and estimates of the malaria burden, Am. J. Trop. Med. Hyg., 64 (2001), 1-11.  doi: 10.4269/ajtmh.2001.64.1.  Google Scholar

[8]

W. G. Brogdon and J. C. McAllister, Insecticide resistance and vector control, J. Agromedicine, 6 (1999), 41-58.   Google Scholar

[9]

L. Cai, S. Ai and J. Li, Dynamics of mosquitoes populations with different strategies for releasing sterile mosquitoes, SIAM, J. Appl. Math., 74 (2014), 1786-1809.  doi: 10.1137/13094102X.  Google Scholar

[10]

K. Cooke, P. van den Driessche and X. Zou, Interaction of maturation delay and nonlinear birth in population and epidemic models, J. Math. Biol., 39 (1999), 332-352.  doi: 10.1007/s002850050194.  Google Scholar

[11]

H. Diaz, A. A. Ramirez, A. Olarte and C. Clavijo, A model for the control of malaria using genetically modified vectors, J. Theor. Biol., 276 (2011), 57-66.  doi: 10.1016/j.jtbi.2011.01.053.  Google Scholar

[12]

J. Dieudonné, Foundations of Modern Analysis, Academic Press, New York, 1960.  Google Scholar

[13]

Y. Dumont and J. M. Tchuenche, Mathematical studies on the sterile insect technique for the Chikungunya disease and Aedes albopictus, J. Math. Biol., 65 (2012), 809-854.  doi: 10.1007/s00285-011-0477-6.  Google Scholar

[14]

V. A. Dyck, J. Hendrichs and A. S. Robinson, Sterile insect technique -principles and practice in area-wide integrated pest management, Springer, The Netherlands, 2005. Google Scholar

[15]

C. Dye, Models for the population dynamics of the yellow fever mosquito, Aedes aegypti, J. Anim. Ecol., 53 (1984), 247-268.  doi: 10.2307/4355.  Google Scholar

[16]

L. Esteva and H. M. Yang, Assessing the effects of temperature and dengue virus load on dengue transmission, J. Biol. Syst., 23 (2015), 527-554.  doi: 10.1142/S0218339015500278.  Google Scholar

[17]

L. Esteva and H. M. Yang, Mathematical model to assess the control of Aedes aegypti mosquitoes by the sterile insect technique, Math. Biosci., 198 (2005), 132-147.  doi: 10.1016/j.mbs.2005.06.004.  Google Scholar

[18]

J. E. Gentile, S. Rund and G. R Madey, Modelling sterile insect technique to control the population of Anopheles gambiae, Malaria J., 14 (2015), 92-103.  doi: 10.1186/s12936-015-0587-5.  Google Scholar

[19]

J. K. Hale and S. M. Verduyn Lunel, Introduction to Functional Differential Equation, Springer, New York, 1993. doi: 10.1007/978-1-4612-4342-7.  Google Scholar

[20]

J. Ito, A. Ghosh, L. A. Moreira, E. A. Wilmmer and M. Jacobs-Lorena, Transgenic anopheline mosquitoes impaired in transmission of a malria parasite, Nature, 417 (2002), 452-455.   Google Scholar

[21]

M. Jankovic and S. Petrovskii, Are time delays always destabilizing? Revisiting the role of time delays and the Allee effect, Theor Ecol., 7 (2014), 335-349.  doi: 10.1007/s12080-014-0222-z.  Google Scholar

[22]

E. F. Knipling, Possibilities of insect control or eradication through the use of sexually sterile males, J. Econ. Entomol., 48 (1955), 459-462.   Google Scholar

[23]

Y. Kuang, Delay Differential Equations with Applications in Population Dynamics, Academic Press, New York, 1993.  Google Scholar

[24]

S. S. Lee, R. E. Baker, E. A. Gaffney and S. M. White, Modelling Aedes aegypti mosquito control via transgenic and sterile insect techniques: Endemics and emerging outbreaks, J. Theor. Biol., 331 (2013), 78-90.  doi: 10.1016/j.jtbi.2013.04.014.  Google Scholar

[25]

M. A. Lewis and P. van den Driessche, Waves of extinction from sterile insect release, Math. Biosci., 116 (1993), 221-247.  doi: 10.1016/0025-5564(93)90067-K.  Google Scholar

[26]

J. Li, New revised simple models for interactive wild and sterile mosquito populations and their dynamics, J. Biol. Dyna., 11 (2017), 316-333.  doi: 10.1080/17513758.2016.1216613.  Google Scholar

[27]

J. Li, L. Cai and Y. Li, Stage-structured wild and sterile mosquito population models and their dynamics, J. Biol.Dyna., 11 (2017), 79-101.  doi: 10.1080/17513758.2016.1159740.  Google Scholar

[28]

J. Lu and J. Li, Dynamics of stage-structured discrete mosquito population, J. Appl. Anal. Comput., 1 (2011), 53-67.   Google Scholar

[29]

G. J. Lycett and F. C. Kafatos, Anti-malaria mosquitoes?, Nautre, 417 (2002), 387-388.   Google Scholar

[30]

C. W. Morin and A. C. Comrie, Regional and seasonal response of a West Nile virus vector to climate change, PNAS, 110 (2013), 15620-15625.  doi: 10.1073/pnas.1307135110.  Google Scholar

[31]

W. W. Murdoch, C. J. Briggs and R. M. Nisbet, Consumer-resource dynamics, Princeton University Press, New Jersey, USA, 2003. Google Scholar

[32]

H. K. Phuc, M. H. Andreasen, et al, Late-acting dominant lethal genetic systems and mosquito control, BMC. Biol., 5 (2007), 11–16. doi: 10.1186/1741-7007-5-11.  Google Scholar

[33]

E. P. Pliego, J. Vel$\acute{a}$zquez-Castro and A. F. Collar, Seasonality on the life cycle of Aedes aegypti mosquito and its statistical relation with dengue outbreaks, Appl. Math. Model., 50 (2017), 484-496.  doi: 10.1016/j.apm.2017.06.003.  Google Scholar

[34]

M. Rafikov, L. Bevilacqua and A. P. Wyse, Optimal control strategy of malaria vector using genetically modified mosquitoes, J. Theor. Biol., 258 (2009), 418-425.  doi: 10.1016/j.jtbi.2008.08.006.  Google Scholar

[35]

S. J. Schreiber, Allee effect, extinctions, and chaotic transients in simple population models, Theor. Popul. Biol., 64 (2003), 201-209.  doi: 10.1016/S0040-5809(03)00072-8.  Google Scholar

[36]

J. Smith, M. Amador and R. Barrera, Seasonal and habitat effects on dengue and West Nile Virus Vectors in San Juan, Puerto Rico, J. Am. Mosq. Control. Assoc., 25 (2009), 38-46.  doi: 10.2987/08-5782.1.  Google Scholar

[37]

H. Townson, SIT for African malaria vectors: Epilogue, Malar. J., 8 (2009), S10. doi: 10.1186/1475-2875-8-S2-S10.  Google Scholar

[38]

WHO, 10 facts on malaria, http://www.who.int/features/factfiles/malaria/en/. Google Scholar

[39]

J. Wu, H. R. Thieme, Y. Lou and G. Fan, Stability and persistence in ODE models for populations with many stages, Math. Biosc. Eng., 12 (2015), 661-686.  doi: 10.3934/mbe.2015.12.661.  Google Scholar

[40]

B. Zheng, M. Tang and J. Yu, Modeling Wolbachia spread in mosquitoes through delay differential equations, SIAM J. Appl. Math., 74 (2014), 743-770.  doi: 10.1137/13093354X.  Google Scholar

[41]

B. Zheng, M. Tang, J. Yu and J. Qiu, Wolbachia spreading dynamics in mosquitoes with imperfect maternal transmission, J. Math. Biol., 76 (2018), 235-263.  doi: 10.1007/s00285-017-1142-5.  Google Scholar

Figure 1.  Bistable phenomena still occur in (6). Here, parameter values $a_0 = 10, \mu_0 = 0.1, \mu_1 = 0.5, \mu_2 = 0.4, $$b = 21, \xi_1 = 0.5, \xi_2 = 0.4, \tau = 0.2$. For $b = 21 < b_0 = 21.93$, there exists three nontrivial equilibria. Boundary equilibrium $E_0(0, 6.76)$ is a locally asymptotically stable node. Positive equilibrium $E_1^* (7.84,4.07)$ is a saddle point, and positive equilibrium $E_2^* (8.70,3.87)$ is a locally asymptotically stable.
Figure Options

Download full-size image

Download as PowerPoint slide

Figure 2.  The effect of time delay $\tau$ in (6) on the level of the positive equilibria shown in the above figure. All other parameters are the same as in Figure 1 except $\tau$ being varied.
Figure Options

Download full-size image

Download as PowerPoint slide

Figure 3.  The effect of time delay $\tau$ on stability of the positive equilibrium $E_2^*$ in system (15). A phase portrait indicates that there is a stable periodic solution for $\tau = 4.9$. Parameter values are chosen to be $a_0 = 30, \mu_0 = 0.1,\ \mu_1 = 0.5,\ \mu_2 = 1.5,\ $$b = 2,\ \xi_1 = 4, \xi_2 = 0.51$. Initial conditions is $(w,g) = (10,5)$ for delay $\tau = 1.5$ and $\tau = 4.9$. For delay $\tau = 0$, we have to change initial conditions to $(1,1)$ to obtain a solution converging to the interior equilibrium (while a solution starting at (10, 5) will converges to the trivial equilibrium (0, 0) instead).
Figure Options

Download full-size image

Download as PowerPoint slide

Figure 9.  Two dimensional bifurcation diagram in parameter space $(\tau, b)$. On the graph, the torus bifurcation curve is very close to Fold-Hopf bifurcation curve. To have a better view, we include a zoomed figure.
Figure Options

Download full-size image

Download as PowerPoint slide

Figure 4.  A bifurcation diagram of genetically-modified mosquito population $g(t)$ using delay $\tau$ as a bifurcation parameter in model (15).
Figure Options

Download full-size image

Download as PowerPoint slide

Figure 5.  The existence of bi-stability in the form of two stable periodic solutions for $\tau = 5.18$. The solid line corresponds the periodic solution with initial values $(w,g) = (0.5,1.5)$ and the dotted line corresponds to the periodic solution with initial value $(w,g) = (10,5)$. Here, parameter values $a = 30, \mu_0 = 0.1,\ \mu_1 = 0.5,\ $$\mu_2 = 1.5,\ b = 2,\ \xi_1 = 4, \xi_2 = 0.51$.
Figure Options

Download full-size image

Download as PowerPoint slide

Figure 6.  The existence of bi-stability in the form of two stable periodic solutions for $\tau = 6.55$. The solid line corresponds to the periodic solution with initial values $(w,g) = (0.5,1.5)$ and the dotted line corresponds to the periodic solution with initial value $(w,g) = (0.71,0.11)$.
Figure Options

Download full-size image

Download as PowerPoint slide

Figure 7.  One dimensional bifurcation diagram of periodic solutions in delay $\tau$. Vertical axis is the amplitude of periodic solutions or equilibria.
Figure Options

Download full-size image

Download as PowerPoint slide

Figure 8.  Stability change of periodic solutions as delay $\tau$ varies. Vertical axis is the amplitude of periodic solutions.
Figure Options

Download full-size image

Download as PowerPoint slide

Figure 10.  The plotting of the profile of periodic solutions along torus bifurcation points.
Figure Options

Download full-size image

Download as PowerPoint slide

[1]

Pengmiao Hao, Xuechen Wang, Junjie Wei. Global Hopf bifurcation of a population model with stage structure and strong Allee effect. Discrete & Continuous Dynamical Systems - S, 2017, 10 (5) : 973-993. doi: 10.3934/dcdss.2017051
[2]

Mugen Huang, Moxun Tang, Jianshe Yu, Bo Zheng. A stage structured model of delay differential equations for Aedes mosquito population suppression. Discrete & Continuous Dynamical Systems - A, 2019, 0 (0) : 0-0. doi: 10.3934/dcds.2020042
[3]

Liming Cai, Jicai Huang, Xinyu Song, Yuyue Zhang. Bifurcation analysis of a mosquito population model for proportional releasing sterile mosquitoes. Discrete & Continuous Dynamical Systems - B, 2019, 24 (11) : 6279-6295. doi: 10.3934/dcdsb.2019139
[4]

Cui-Ping Cheng, Wan-Tong Li, Zhi-Cheng Wang. Asymptotic stability of traveling wavefronts in a delayed population model with stage structure on a two-dimensional spatial lattice. Discrete & Continuous Dynamical Systems - B, 2010, 13 (3) : 559-575. doi: 10.3934/dcdsb.2010.13.559
[5]

Zhihua Liu, Hui Tang, Pierre Magal. Hopf bifurcation for a spatially and age structured population dynamics model. Discrete & Continuous Dynamical Systems - B, 2015, 20 (6) : 1735-1757. doi: 10.3934/dcdsb.2015.20.1735
[6]

Xianlong Fu, Zhihua Liu, Pierre Magal. Hopf bifurcation in an age-structured population model with two delays. Communications on Pure & Applied Analysis, 2015, 14 (2) : 657-676. doi: 10.3934/cpaa.2015.14.657
[7]

Jaume Llibre, Claudio Vidal. Hopf periodic orbits for a ratio--dependent predator--prey model with stage structure. Discrete & Continuous Dynamical Systems - B, 2016, 21 (6) : 1859-1867. doi: 10.3934/dcdsb.2016026
[8]

Zhong Li, Maoan Han, Fengde Chen. Global stability of a predator-prey system with stage structure and mutual interference. Discrete & Continuous Dynamical Systems - B, 2014, 19 (1) : 173-187. doi: 10.3934/dcdsb.2014.19.173
[9]

Xiang-Ping Yan, Wan-Tong Li. Stability and Hopf bifurcations for a delayed diffusion system in population dynamics. Discrete & Continuous Dynamical Systems - B, 2012, 17 (1) : 367-399. doi: 10.3934/dcdsb.2012.17.367
[10]

Fabien Crauste. Global Asymptotic Stability and Hopf Bifurcation for a Blood Cell Production Model. Mathematical Biosciences & Engineering, 2006, 3 (2) : 325-346. doi: 10.3934/mbe.2006.3.325
[11]

Hui Miao, Zhidong Teng, Chengjun Kang. Stability and Hopf bifurcation of an HIV infection model with saturation incidence and two delays. Discrete & Continuous Dynamical Systems - B, 2017, 22 (6) : 2365-2387. doi: 10.3934/dcdsb.2017121
[12]

Hui Wan, Huaiping Zhu. A new model with delay for mosquito population dynamics. Mathematical Biosciences & Engineering, 2014, 11 (6) : 1395-1410. doi: 10.3934/mbe.2014.11.1395
[13]

Ruijun Zhao, Jemal Mohammed-Awel. A mathematical model studying mosquito-stage transmission-blocking vaccines. Mathematical Biosciences & Engineering, 2014, 11 (5) : 1229-1245. doi: 10.3934/mbe.2014.11.1229
[14]

Ryan T. Botts, Ale Jan Homburg, Todd R. Young. The Hopf bifurcation with bounded noise. Discrete & Continuous Dynamical Systems - A, 2012, 32 (8) : 2997-3007. doi: 10.3934/dcds.2012.32.2997
[15]

Matteo Franca, Russell Johnson, Victor Muñoz-Villarragut. On the nonautonomous Hopf bifurcation problem. Discrete & Continuous Dynamical Systems - S, 2016, 9 (4) : 1119-1148. doi: 10.3934/dcdss.2016045
[16]

John Guckenheimer, Hinke M. Osinga. The singular limit of a Hopf bifurcation. Discrete & Continuous Dynamical Systems - A, 2012, 32 (8) : 2805-2823. doi: 10.3934/dcds.2012.32.2805
[17]

Xiaoyuan Chang, Junjie Wei. Stability and Hopf bifurcation in a diffusive predator-prey system incorporating a prey refuge. Mathematical Biosciences & Engineering, 2013, 10 (4) : 979-996. doi: 10.3934/mbe.2013.10.979
[18]

Kousuke Kuto. Stability and Hopf bifurcation of coexistence steady-states to an SKT model in spatially heterogeneous environment. Discrete & Continuous Dynamical Systems - A, 2009, 24 (2) : 489-509. doi: 10.3934/dcds.2009.24.489
[19]

Hooton Edward, Balanov Zalman, Krawcewicz Wieslaw, Rachinskii Dmitrii. Sliding Hopf bifurcation in interval systems. Discrete & Continuous Dynamical Systems - A, 2017, 37 (7) : 3545-3566. doi: 10.3934/dcds.2017152
[20]

Jing-An Cui, Xinyu Song. Permanence of predator-prey system with stage structure. Discrete & Continuous Dynamical Systems - B, 2004, 4 (3) : 547-554. doi: 10.3934/dcdsb.2004.4.547

2018 Impact Factor: 1.313

Tools

Metrics

  • PDF downloads (159)
  • HTML views (360)
  • Cited by (0)

Other articles
by authors

[Back to Top]

Copyright © 2019 American Institute of Mathematical Sciences