Modeling of anthrax disease via efficient computing techniques
No Thumbnail Available
Date
2022
Journal Title
Journal ISSN
Volume Title
Publisher
Open Access Color
OpenAIRE Downloads
OpenAIRE Views
Abstract
Computer methods have a significant role in the scientific literature. Nowadays, development in computational methods for solving highly complex and nonlinear systems is a hot issue in different disciplines like engineering, physics, biology, and many more. Anthrax is primarily a zoonotic disease in herbivores caused by a bacterium called Bacillus anthracis. Humans generally acquire the disease directly or indirectly from infected animals, or through occupational exposure to infected or contaminated animal products. The outbreak of human anthrax is reported in the Eastern Mediterranean regions like Pakistan, Iran, Iraq, Afghanistan, Morocco, and Sudan. Almost ninety-five percent chances are the transmission of the bacteria from forming spores by the World Health Organization (WHO). The modeling of an anthrax disease is based on the four compartments along with two humans (susceptible and infected) and others are dead bodies and sporing agents. The mathematical analysis is studied along with the fundamental properties of deterministic modeling. The stability of the model along with equilibria is studied rigorously. The authentication of analytical results is examined through well-known computer methods like Euler, Runge Kutta, and Non-standard finite difference (NSFD) along with the feasible properties (positivity, boundedness, and dynamical consistency) of the model. In the end, comparison analysis of algorithms shows the effectiveness of the methods. © 2022, Tech Science Press. All rights reserved.
Description
Keywords
Anthrax Disease, Computer Methods, Deterministic Modeling, Stability Analysis
Turkish CoHE Thesis Center URL
Fields of Science
Citation
Raza, Ali...et al. (2022). "Modeling of anthrax disease via efficient computing techniques", Intelligent Automation and Soft Computing, Vol. 32, No. 2, pp. 1109-1124.
WoS Q
Scopus Q
Source
Intelligent Automation and Soft Computing
Volume
32
Issue
2
Start Page
1109
End Page
1124