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Eco-Epidemiological Modelling and Analysis of Prey-Predator Population

Received: 10 November 2020    Accepted: 4 December 2020    Published: 23 February 2021
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Abstract

In this paper, prey-predator model of five Compartments are constructed with treatment is given to infected prey and infected predator. We took predation incidence rates as functional response type II and disease transmission incidence rates follow simple kinetic mass action function. The positivity, boundedness, and existence of the solution of the model are established and checked. Equilibrium points of the models are identified and Local stability analysis of Trivial Equilibrium point, Axial Equilibrium point, and Disease-free Equilibrium points are performed with the Method of Variation Matrix and Routh Hourwith Criterion. It is found that the Trivial equilibrium point 〖E〗_(o) is always unstable, and Axial equilibrium point 〖E〗_(A) is locally asymptotically stable if βk - (t1+d2) < 0, qp1k - d3(s+k) < 0, & qp3k - (t2+d4)(s+k) < 0 conditions hold true. Global Stability analysis of endemic equilibrium point of the model has been proved by Considering appropriate Liapunove function. In this study, the basic reproduction number of infected prey is obtained to be the following general formula R01=[(qp1-d3)2 kβd3s2]⁄[(qp1-d3){(qp1-d3)2ks(t1+d2 )+rsqp2 (kqp1-kd3-d3s)}] and the basic reproduction number of infected predator population is computed and results are written as the general formula of the form as R02=[(qp1-d3 )(qp3 d3 )k+αrsq(kqp1-kd3-d3s)]⁄[(qp1-d3)2 (t2+d4)k]. If the basic reproduction number is greater than one, then the disease will persist in prey-predator system. If the basic reproduction number is one, then the disease is stable, and if basic reproduction number less than one, then the disease is dies out from the prey-predator system. Finally, simulations are done with the help of DEDiscover software to clarify results.

Published in Science Journal of Applied Mathematics and Statistics (Volume 9, Issue 1)
DOI 10.11648/j.sjams.20210901.11
Page(s) 1-14
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Eco-Epidemiology, Prey-Predator, Stability, Variation Matrix, Reproduction Number, Simulation

References
[1] Sachin Kumar and Harsha Kharbanda. Stability Analysis Of Prey-Predator Model With Infection, Migration and Vaccination In Prey, arXiv: 1709.10319vl [math.DS], 29 Sep 2017.
[2] Sudipa, Sinha, O.P. Misra, J. Dhar. Modeling a predator–prey system with infected prey in polluted environment., Elsevier, Applied Mathematics, April 2008, doi:10.1016/j,pm. 2009.10.003
[3] Rald Kamel Naji, Kawa Ahmed Hasan. The Dynamics of Prey-Predator Model With Disease In Prey, J. Math. Comput. Sci. 2 (2012), No. 4, 1052-1072, Available online at http://scik.org
[4] C. M. Silva (2017). Existence of periodic solutions for periodic eco-epidemic models with disease in the prey, J. Math. Anal. Appl. 453(1), 383–397.
[5] J. Chattopadhyay and O. Arino. A predator-prey model with disease in the prey, Nonlinear Analysis, 36 (1999), 747–766.
[6] A. F. Bezabih. Mathematical Eco-Epidemic Model on Prey-Predator System. IOSR Journal of Mathematics (IOSR-JM), 16(1), (2020): pp. 22-34.
[7] A. F. Bezabih, G. K. Edessa, P. R. Koya. Mathematical Eco-Epidemiological Model on Prey-Predator System. Mathematical Modeling and Applications. Vol. 5, No. 3, 2020, pp. 183-190. doi: 10.11648/j.mma.20200503.17
[8] A. F. Bezabih, G.K. Edessa, P. R. Koya. Mathematical Epidemiology Model Analysis on the Dynamics of COVID-19 Pandemic. American Journal of Applied Mathematics. Vol. 8, No. 5, 2020, pp. 247-256. doi: 10.11648/j.ajam.20200805.12.
[9] S. P. Bera, A. Maiti, G. Samanta. A Prey-predator Model with Infection in both prey and predator,Filomat 29:8 (2015),1753-1767.
[10] Asrul Sani, Edi Cahyono, Mukhsar, Gusti Arviana Rahman (2014). Dynamics of Disease Spread in a Predator-Prey System, Indonesia, Advanced Studies in Biology, Vol. 6, 2014, No. 4, 169 – 179.
[11] Alfred Hugo, Estomih S. Massawe, and Oluwole Daniel Makinde. An Eco-Epidemiological Mathematical Model with Treatment and Disease Infection in both Prey and Predator Population. Journal of Ecology and natural environment Vol. 4 (10), pp. 266-273, July 2012.
[12] G. K. Edessa, B. Kumsa, P. R. Koya. Modeling and Simulation Study of the Population Dynamics of Commensal-Host-Parasite System. American Journal of Applied Mathematics. Vol. 6, No. 3, 2018, pp. 97-108.
[13] S. Tolcha, B. Kumsa, P. R. Koya. Modeling and Simulation Study of Mutuality Interactions with Type II functional Response and Harvesting. American Journal of Applied Mathematics. Vol. 6, No. 3, 2018, pp. 109-116.doi: 10.11648/j.ajam.20180603.
[14] M. Haque. A predator–prey model with disease in the predator species only, Nonlinear Anal., Real World Appl., 11(4) (2010), 2224–2236.
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    Abayneh Fentie Bezabih, Geremew Kenassa Edessa, Koya Purnachandra Rao. (2021). Eco-Epidemiological Modelling and Analysis of Prey-Predator Population. Science Journal of Applied Mathematics and Statistics, 9(1), 1-14. https://doi.org/10.11648/j.sjams.20210901.11

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    ACS Style

    Abayneh Fentie Bezabih; Geremew Kenassa Edessa; Koya Purnachandra Rao. Eco-Epidemiological Modelling and Analysis of Prey-Predator Population. Sci. J. Appl. Math. Stat. 2021, 9(1), 1-14. doi: 10.11648/j.sjams.20210901.11

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    AMA Style

    Abayneh Fentie Bezabih, Geremew Kenassa Edessa, Koya Purnachandra Rao. Eco-Epidemiological Modelling and Analysis of Prey-Predator Population. Sci J Appl Math Stat. 2021;9(1):1-14. doi: 10.11648/j.sjams.20210901.11

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  • @article{10.11648/j.sjams.20210901.11,
      author = {Abayneh Fentie Bezabih and Geremew Kenassa Edessa and Koya Purnachandra Rao},
      title = {Eco-Epidemiological Modelling and Analysis of Prey-Predator Population},
      journal = {Science Journal of Applied Mathematics and Statistics},
      volume = {9},
      number = {1},
      pages = {1-14},
      doi = {10.11648/j.sjams.20210901.11},
      url = {https://doi.org/10.11648/j.sjams.20210901.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjams.20210901.11},
      abstract = {In this paper, prey-predator model of five Compartments are constructed with treatment is given to infected prey and infected predator. We took predation incidence rates as functional response type II and disease transmission incidence rates follow simple kinetic mass action function. The positivity, boundedness, and existence of the solution of the model are established and checked. Equilibrium points of the models are identified and Local stability analysis of Trivial Equilibrium point, Axial Equilibrium point, and Disease-free Equilibrium points are performed with the Method of Variation Matrix and Routh Hourwith Criterion. It is found that the Trivial equilibrium point 〖E〗_(o) is always unstable, and Axial equilibrium point 〖E〗_(A)  is locally asymptotically stable if βk - (t1+d2) qp1k - d3(s+k) qp3k - (t2+d4)(s+k) R01=[(qp1-d3)2 kβd3s2]⁄[(qp1-d3){(qp1-d3)2ks(t1+d2 )+rsqp2 (kqp1-kd3-d3s)}] and the basic reproduction number of infected predator population is computed and results are written as the general formula of the form as R02=[(qp1-d3 )(qp3 d3 )k+αrsq(kqp1-kd3-d3s)]⁄[(qp1-d3)2 (t2+d4)k]. If the basic reproduction number is greater than one, then the disease will persist in prey-predator system. If the basic reproduction number is one, then the disease is stable, and if basic reproduction number less than one, then the disease is dies out from the prey-predator system. Finally, simulations are done with the help of DEDiscover software to clarify results.},
     year = {2021}
    }
    

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  • TY  - JOUR
    T1  - Eco-Epidemiological Modelling and Analysis of Prey-Predator Population
    AU  - Abayneh Fentie Bezabih
    AU  - Geremew Kenassa Edessa
    AU  - Koya Purnachandra Rao
    Y1  - 2021/02/23
    PY  - 2021
    N1  - https://doi.org/10.11648/j.sjams.20210901.11
    DO  - 10.11648/j.sjams.20210901.11
    T2  - Science Journal of Applied Mathematics and Statistics
    JF  - Science Journal of Applied Mathematics and Statistics
    JO  - Science Journal of Applied Mathematics and Statistics
    SP  - 1
    EP  - 14
    PB  - Science Publishing Group
    SN  - 2376-9513
    UR  - https://doi.org/10.11648/j.sjams.20210901.11
    AB  - In this paper, prey-predator model of five Compartments are constructed with treatment is given to infected prey and infected predator. We took predation incidence rates as functional response type II and disease transmission incidence rates follow simple kinetic mass action function. The positivity, boundedness, and existence of the solution of the model are established and checked. Equilibrium points of the models are identified and Local stability analysis of Trivial Equilibrium point, Axial Equilibrium point, and Disease-free Equilibrium points are performed with the Method of Variation Matrix and Routh Hourwith Criterion. It is found that the Trivial equilibrium point 〖E〗_(o) is always unstable, and Axial equilibrium point 〖E〗_(A)  is locally asymptotically stable if βk - (t1+d2) qp1k - d3(s+k) qp3k - (t2+d4)(s+k) R01=[(qp1-d3)2 kβd3s2]⁄[(qp1-d3){(qp1-d3)2ks(t1+d2 )+rsqp2 (kqp1-kd3-d3s)}] and the basic reproduction number of infected predator population is computed and results are written as the general formula of the form as R02=[(qp1-d3 )(qp3 d3 )k+αrsq(kqp1-kd3-d3s)]⁄[(qp1-d3)2 (t2+d4)k]. If the basic reproduction number is greater than one, then the disease will persist in prey-predator system. If the basic reproduction number is one, then the disease is stable, and if basic reproduction number less than one, then the disease is dies out from the prey-predator system. Finally, simulations are done with the help of DEDiscover software to clarify results.
    VL  - 9
    IS  - 1
    ER  - 

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Author Information
  • Department of Mathematics, Wollega University, Nekemte, Ethiopia

  • Department of Mathematics, Wollega University, Nekemte, Ethiopia

  • Department of Mathematics, Wollega University, Nekemte, Ethiopia

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