Eco-epidemiology of prey and competitive predator species in the SEI model
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2024.15.spl-2.37Keywords:
Eco-epidemiological, Susceptible exposed infected model, Predator-prey relationship, Disease transmission, Population dynamics.Dimensions Badge
Issue
Section
License
Copyright (c) 2025 The Scientific Temper
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
The ecological epidemiology structure explores the relationship between disease and competitiveness in a predator-prey [22] (Vijaya S, J. J, 2017) structure. We create a mathematical model that includes a susceptible (S), exposed (E), and infected (I)[28][22] (Vijaya S, J.J, 2017)( S.P.Bera, A. M, 2015) subpopulation of prey, as well as a competing predator. The model Examines how disease transmission, predation rates, and natural population dynamics affect structure stability. The findings provide insights into illness prevalence and population levels, which could help researchers better understand disease outbreaks and the function of predators in disease control. Further studies should examine spatial aspects, environmental consequences, and predator behaviors.Abstract
How to Cite
Downloads
Similar Articles
- Manoj Kumar, A.K. Srivastava, Bioaccumulation of Heavy Metals in Some Tissues of Fish, Clarias batrachus Exposed to Sub-lethal Concentration of Nickel Sulphate and Potassium Dichromate , The Scientific Temper: Vol. 13 No. 01 (2022): The Scientific Temper
- P Janavarthini, I Antonitte Vinoline, Sustainable fuzzy inventory for concurrent fabrication and material depletion modeling with random substandard items , The Scientific Temper: Vol. 16 No. 04 (2025): The Scientific Temper
- Abhishek Dwivedi, Nikhat Raza Khan, Reconfiguration of Automated Manufacturing Systems Using Gated Graph Neural Networks , The Scientific Temper: Vol. 13 No. 02 (2022): The Scientific Temper
- Sujay Bhalchandra, Nilesh D. Shinde, An exploratory study of factors influencing manufacturer-dealer relationship in Indian automobile industry , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- M. Monika, J. Merline Vinotha, A Fuzzy Supply Chain Model Evaluating Energy Management Systems under Imperfect Production and Uncertain Costs , The Scientific Temper: Vol. 16 No. 11 (2025): The Scientific Temper
- M. Monika, J. Merline Vinotha, A Sustainable Vendor–Buyer Supply Chain Framework Integrating Energy Storage Systems and Green Investments with Incentive Policies under Demand Uncertainty , The Scientific Temper: Vol. 17 No. 02 (2026): The Scientific Temper
- Ashish Nagila, Abhishek K Mishra, The effectiveness of machine learning and image processing in detecting plant leaf disease , The Scientific Temper: Vol. 14 No. 01 (2023): The Scientific Temper
- Dileep Pulugu, Shaik K. Ahamed, Senthil Vadivu, Nisarg Gandhewar, U D Prasan, S. Koteswari, Empowering healthcare with NLP-driven deep learning unveiling biomedical materials through text mining , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- Maria D. Roopa, Nimitha John, Bayesian Optimization Phase I Design of Experiment Models , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- G. C. Sowparnika, D. A. Vijula, Modeling and control of boiler in thermal power plant using model reference adaptive control , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
<< < 1 2 3 4 5 6 7 8 9 10 > >>
You may also start an advanced similarity search for this article.
Most read articles by the same author(s)
- V. Manikandabalaji, R. Sivakumar, V. Maniraj, A novel approach using type-II fuzzy differential evolution is proposed for identifying and diagnosis of diabetes using semantic ontology , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- V. Manikandabalaji, R. Sivakumar, V. Maniraj, A framework for diabetes diagnosis based on type-2 fuzzy semantic ontology approach , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
