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
- B. S. E. Zoraida, J. Jasmine Christina Magdalene, Smart grid precision: Evaluating machine learning models for forecasting of energy consumption from a smart grid , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- A. Rukmani, C. Jayanthi, Fuzzy optimization trust aware clustering approach for the detection of malicious node in the wireless sensor networks , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- A. Rukmani, C. Jayanthi, Trust and security in wireless sensor networks: A literature review of approaches for malicious node detection , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- RASHMI TRIPATHI, STRESS RELATED HISTOPATHOLOGICAL CHANGES IN THE HEPATOPANCREAS OF BOTH THE SEXES OF PALAEMONID PRAWN MACROBRACHIUM DAYANUM (HENDERSON) (CRUSTACEA : DECAPODA) , The Scientific Temper: Vol. 3 No. 1&2 (2012): The Scientific Temper
- C. Agilan, Lakshna Arun, Optimization-based clustering feature extraction approach for human emotion recognition , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Vijai K. Visvanathan, Karthikeyan Palaniswamy, Thanarajan Kumaresan, Green ammonia: catalysis, combustion and utilization strategies , The Scientific Temper: Vol. 14 No. 01 (2023): The Scientific Temper
- Niharika Bharti, Photomodulation of strigolactones in mediating sunflower seedling growth , The Scientific Temper: Vol. 14 No. 02 (2023): The Scientific Temper
- Neeru Garg, B.R. Jaipal, Harshvardhan Singh, Impacts of anthropogenic activities on the behavior of Indian fox (Vulpes bengalensis) in the Thar desert , The Scientific Temper: Vol. 14 No. 02 (2023): The Scientific Temper
- Rustam Gulomov, Khilolakhon Rakhimova, Avazbek Batoshov, Doniyor Komilov, Bioclimatic modeling of the species Phlomoides canescens (Lamiaceae) , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Iftikhar A. Tayubi, Mayur D. Jakhete, Spoorthi B. Shetty, Ashish Verma, Mohit Tiwari, S. Kiruba, Sustainable healthcare AI-enhanced materials discovery and design for eco-friendly and biocompatible medical applications , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
<< < 19 20 21 22 23 24 25 26 27 28 > >>
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 framework for diabetes diagnosis based on type-2 fuzzy semantic ontology approach , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- 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