Abstract
In this paper we have developed an eco-epidemic model with two prey one predator population where only first prey population is infected by an infectious disease. The interaction between first prey and predator is assumed to be governed by a Holling type II functional response where the handling time of predator for second prey is also involved. A Lotka–Volterra functional response is taken to represent the interaction between second prey and predator. Next we have studied the positivity of the solutions of the system and analyzed the existence and stability of various equilibrium points. We have introduced a time delay in the model and discussed about the stability of delayed model. It is observed that the existence of stability switches occur around the interior equilibrium. Our important mathematical findings are also numerically verified using MATLAB. Finally eco-epidemiological implications of our analytical findings are addressed critically.
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References
Holling CS (1965) The functional response of predators to prey density and its role in mimicry and population regulation. Mem Entomol Soc Can 45:3–60
Kot M (2001) Elements of mathematical ecology. Cambridge University Press, Cambridge
Murray JD (1993) Mathematical biology. Springer, New York
Bandyopadhyay M, Chakrabarti CG (2003) Deterministic and stochastic analysis of a non-linear prey–predator system. J Biol Syst 11:161–172
Gilpin ME (1972) Enriched predator–prey systems: theoretical stability. Science 177:902–904
Kuznetsov Y, Rinaldi S (1996) Remarks on food chain dynamics. Math Biosci 134:1–33
Li B, Kuang Y (2000) Simple food chain in a chemostat with distinct removal rates. J Math Anal Appl 242:75–92
Renshaw E (1995) Modelling biological population in space and time. Cambridge University Press, Cambridge
Bandyopadhyay M, Bhattacharyya R, Mukhopadhyay B (2004) Dynamics of an autotroph herbivore ecosystem with nutrient recycling. Ecol Model 176:201–209
Erbe LH, Rao VSH, Freedman H (1986) Three-species food chain models with mutual interference and time delays. Math Biosci 80:57–80
Freedman HI, Waltman P (1977) Mathematical analysis of some three-species food chain models. Math Biosci 33:257–276
Freedman HI, Waltman P (1984) Persistence in a model of three interacting predator–prey populations. Math Biosci 68:213–231
Freedman HI, Waltman P (1985) Persistence in a model of three competitive populations. Math BIosci 73:89–101
Gazi NH, Khan SR, Chakrabarti CG (2009) Integration of mussel in fish-farm: mathematical model and analysis. Nonlinear Anal: Hybrid Syst 3:74–86
Maiti A, Pal AK, Samanta GP (2008) Effect of time delay on a food chain model. Appl Math Comput 200:189–203
Ruan S (1993) A three-trophic-level model of plankton dynamics with nutrient recycling. Can Appl Math Q 1:529–553
Ruan S, Xiao D (2001) Global analysis in a predator–prey system with nonmonotonic functional response. SIAM J Appl Math 61:1445–1472
Sharma S, Samanta GP (2013) Dynamical behaviour of a two prey one predator system. Differ Eqn Dyn Syst 22(2):125–145. doi:10.1007/s12591-012-0158-y
Srinivasu PDN, Prasad BSRV, Venkatesulu M (2007) Biological control through provision of additional food to predator: a theoretical study. Theor Popul Biol 72:111–120
Takeuchi Y, Oshime Y, Matsuda H (1992) Persistence and periodic orbits of a three-competitor model with refuges. Math Biosci 108:105–125
Butler GJ, Freedman HI, Waltman P (1986) Uniformly persistent systems. Proc Am Math Soc 96:425–429
Gomez J, Zamora R (1994) Top-down effects in a tritrophic system: parasitoids enhance plant fitness. Ecology 75:1023–1030
Kumar R, Freedman HI (1989) A mathematical model of facultative mutualism with populations interacting in a food chain. Math Biosci 97:235–261
Maiti A, Samanta GP (2005) Complex dynamics of a food chain model with mixed selection of functional responses. Bull Calcutta Math Soc 97:393–412
Maiti A, Samanta GP (2006) Deterministic and stochastic analysis of a prey-dependent predator–prey system. Int J Math Educ Sci Technol 36:65–83
Fritzsche-Hoballah M, Turlings TCJ (2001) Experimental evidence that plants under caterpillar attack may benefit from attracting parasitoids. Evol Ecol Res 3:1–13
Grad T (1980) Persistence in food chains with general interactions. Math Biosci 51:165–174
Turlings TCJ, Fritzsche ME (1999) In: Chadwick DJ, Goode JA (eds) Attraction of parasitic wasp by caterpillar-damaged plants. Wiley, Chichester
Van Loon J, De Boer G, Dicke M (2000) Parasitoid-plant mutualism: parasitoid attack of herbivore increases plant reproduction. Entomol Exp Appl 97:219–227
Das SC, Barua KC (1990) Scope of bio-control of pests and diseases in tea plantations. In: Proceedings of the international conference tea research: global perspective Calcutta, 11–12 Jan, pp 119–125
Das SC, Borthakar MC, Gope B (1989) Need for non-conventional approach in tea pest management. In: Proceedings of the 30th Tocklai conference, pp 80–89
Maiti A, Pal AK, Samanta GP (2008) Usefulness of biocontrol of pests in tea: a mathematical model. Math Model Nat Phenom 3:96–113
Hsu SB, Hwang TW (1999) Hopf bifurcation analysis for a predator–prey system of Holling and Leslie type. Taiwan J Math 3:35–53
Samanta GP, Manna D, Maiti A (2003) Bioeconomic modelling of a three-species fishery with switching effect. Korean J Comput Appl Math 12(1–2):219–231
Yu W, Cao J (2005) Hopf bifurcation and stability of periodic solutions for Van der Pol equation with time delay. Nonlinear Anal TMA 62:141–165
Beretta E, Capasso V (1986) On the general structure of epidemic systems: global asymptotic stability. Comput Math Appl 12A:677–694
Castillo-Chavez C, Feng Z (1998) Global stability of an age-structure model for TB and its applications to optimal vaccination strategies. Math Biosci 151:135–154
Castillo-Chavez C, Song B (2004) Dynamical models of tuberculosis and their applications. Math Biosci Eng 1:361–404
Hethcote H (2000) The mathematics of infectious diseases. SIAM Rev 42:599–653
Korobeinikov A, Maini PK (2005) Nonlinear incidence and stability of infectious disease models. Math Med Biol 22:113–128
Li J, Yang Y, Zhou Y (2011) Global stability of an epidemic model with latent stage and vaccination. Nonlinear Anal 12:2163–2173
Sharomi O, Podder CN, Gumel AB, Elbasha EH, Watmough J (2007) Role of incidence function in vaccine-induced backward bifurcation in some HIV models. Math Biosci 210:436–463
Venturino E (2006) On epidemics crossing the species barrier in interacting population models. Varahmihir J Math Sci 6(1):247–263
Wang W (2006) Backward bifurcation of an epidemic model with treatment. Math Biosci 210:58–71
Xiao D, Ruan S (2007) Global analysis of an epidemic model with nonmonotone incidence rate. Math Biosci 208:419–429
Xiao Y, Tang S (2010) Dynamics of infection with nonlinear incidence in a simple vaccination model. Nonlinear Anal Real World Appl 11:4154–4163
Chen H, Sun J (2011) Global stability of delay multigroup endemic models with group mixing and nonlinear incidence rates. Appl Math Comput 218:4391–4400
Enatsu Y, Messina E, Muroya Y, Nakata Y, Russo E, Vecchio A (2012) Stability analysis of delayed SIR epidemic models with a class of nonlinear incidence rates. Appl Math Comput 218:5327–5336
Li MY, Shu H (2012) Joint effects of mitosis and intracellular delay on viral dynamics: two parameter bifurcation analysis. J Math Biol 64:1005–1020
Sun C, Lin Y, Han M (2006) Stability and hopf bifurcation for an epidemic disease model with delay. Chaos, Solitons Fractals 30:204–216
Xue Y, Duan X (2011) Dynamic analysis of an SIR epidemic model with nonlinear incidence rate and double delays. Int J Inf Syst Sci 7:92–102
Venturino E (1994) The influence of diseases on Lotka–Volterra systems. Rocky Mt J Math 24:381–402
Venturino E (1995) Epidemics in predator–prey models: disease in the prey. In: Arino O, Axelrod D, Kimmel M, Langlais M (eds) Mathematical population dynamics: analysis of heterogeneity, theory of epidemics, vol 1. Wuerz, Winnipeg, pp 381–393
Haque M, Venturino E (2009) Modelling disease spreading in symbiotic communities. In: Wildlife: destruction, conservation and biodiversity. Nova Science Publishers, New York
Haque M (2010) A predator–prey model with disease in the pradator species only. Nonlinear Anal Real World Appl 11(010):2224–2236
Haque M, Greenhalgh D (2009) When predator avoids infected prey: a model based theoretical studies. IMA J Math Med Biol 27:75–94
Haque M, Sarwardi S, Preston S, Venturino E (2011) Effect of delay in a Lotka–Volterra type predator–prey model with a transmission disease in the predator species. Math Biosci 234(1):47–57
Haque M, Zhen J, Venturino E (2009) Rich dynamics of Lotka–Volterra type predator–prey model system with viral disease in prey species. Math Methods Appl Sci 32:875–898
Xiao YN, Chen LS (2001) Analysis of a three species eco-epidemiological model. J Math Anal Appl 258(2):733–754
Xiao YN, Chen LS (2001) Modelling and analysis of a predator–prey model with disease in the prey. Math Biosci 171:59–82
Zhou XY, Shi XY, Song XY (2009) Analysis of a delay prey–predator model with disease in the prey species only. J Korean Math Soc 46(4):713–731
Tewa JJ, Djeumen VY, Bowong S (2013) Predator–prey model with Holling response function of type II and SIS infectious disease. Appl Math Model 37:4825–4841
Hethcote H, Wang W, Han L, Ma Z (2004) A predator–prey model with infected prey. Theor Popul Biol 66:259–268
Hudson PJ, Dobson AP, Newborn D (1992) Do parasites make prey more vulnerable to predation? Red grouse and parasites. J Anim Ecol 61:681–692
Venturino E (2002) Epidemics in predator–prey models: disease in the predators. IMA J Math Appl Med Biol 19:185–205
Anderson RM, May RM (1986) The invasion persistence and spread of infectious diseases within animal and plant communities. Philos Trans R Soc Lond B 314:533–570
Hadeler KP, Freedman HI (1989) Predator–prey populations with parasitic infection. J Math Biol 27:609–631
Hsieh YH, Hsiao CK (2008) Predator–prey model with disease infection in both populations. Math Med Biol 25:247–266
Shi XY, Cui J, Zhou XY (2011) Stability and Hopf bifurcation analysis of an eco-epidemic model with a stage structure. Nonlinear Anal 74:1088–1106
Zhang JF, Li WT, Yan XP (2008) Hopf bifurcation and stability of periodic solutions in a delayed eco-epidemiological system. Appl Math Comput 198:865–876
Zhou X, Cui J (2010) Stability and Hopf bifurcation analysis of an eco-epidemiological model with delay. J Franklin Inst 347:1654–1680
Li J, Gao W (2010) Analysis of predator–prey model with disease in prey. Appl Math Comput 217:4024–4035
Xiao Y, Chen L (2002) A ratio-dependent predator–prey model with disease in the prey. Appl Math Comput 131:397–414
Hale JK (1977) Theory of functional differential equations. Springer, New York
Beretta E, Kuang Y (2002) Geometric stability switch criteria in delay differential systems with delay dependent parameters. SIAM J Math Anal 33:1144–1165
Acknowledgments
The authors are very grateful to the anonymous referees and the Editor-in-Chief (Dr. Jian-Qiao Sun) for their careful reading, valuable comments and helpful suggestions, which have helped them to improve the presentation of this work significantly.
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Sharma, S., Samanta, G.P. Analysis of a two prey one predator system with disease in the first prey population. Int. J. Dynam. Control 3, 210–224 (2015). https://doi.org/10.1007/s40435-014-0107-4
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DOI: https://doi.org/10.1007/s40435-014-0107-4