Applied Mathematics

Volume 11, Issue 3 (March 2020)

ISSN Print: 2152-7385   ISSN Online: 2152-7393

Google-based Impact Factor: 0.58  Citations  

Modeling Anthrax with Optimal Control and Cost Effectiveness Analysis

HTML  XML Download Download as PDF (Size: 2260KB)  PP. 255-275  
DOI: 10.4236/am.2020.113020    969 Downloads   2,302 Views  Citations

ABSTRACT

Anthrax is an infection caused by bacteria and it affects both human and animal populations. The disease can be categorized under zoonotic diseases and humans can contract infections through contact with infected animals, ingest contaminated dairy and animal products. In this paper, we developed a mathematical model for anthrax transmission dynamics in both human and animal populations with optimal control. The qualitative solution of the model behaviour was analyzed by determining Rhv, equilibrium points and sensitivity analysis. A vaccination class was incorporated into the model with waning immunity. Local and global stability of the model’s equilibria was found to be locally asymptotically stable whenever Rhv < 1 and unstable otherwise. Analysis of parameter contribution was conducted to determine the contribution of each to Rhv. It was revealed that reducing animal and human interaction rate, would decrease Rhv. We extended the model to optimal control in order to find the best control strategy in reducing anthrax infections. It showed that the effective strategy in combating the anthrax epidemics is vaccination of animals and prevention of humans.

Share and Cite:

Osman, S. , Otoo, D. and Makinde, O. (2020) Modeling Anthrax with Optimal Control and Cost Effectiveness Analysis. Applied Mathematics, 11, 255-275. doi: 10.4236/am.2020.113020.

Cited by

[1] A Mathematical Model Analysis for the Transmission Dynamics of Leptospirosis Disease in Human and Rodent Populations.
Computational & …, 2022
[2] GLOBAL DYNAMICS, OPTIMAL CONTROL AND COST-EFFECTIVENESS ANALYSIS FOR ANTHRAX TRANSMISSION MODEL IN ANIMAL POPULATIONS WITH …
Journal of Biological Systems, 2022
[3] MODEL FOR TRANSMISSION AND OPTIMAL CONTROL OF ANTHRAX INVOLVING HUMAN AND ANIMAL POPULATION
Journal of Biological Systems, 2022
[4] Nonstandard finite difference method of modelling zoonotic diseases
Commun. Math. Biol …, 2022
[5] Stability analysis and modelling the dynamics of psittacosis in human and poultry populations
Commun. Math. Biol …, 2022
[6] A robust study of the transmission dynamics of zoonotic infection through non-integer derivative
Demonstratio …, 2022
[7] Modelling the transmission dynamics and control of taeniasis and cysticercosis in humans, pigs and cattle
2022
[8] Modelling the Dynamics of Marital Interactions with Optimal Effort Plan
… in Dynamical Systems …, 2022
[9] The dynamics of psittacosis in human and poultry populations: a mathematical modelling perspective
J. Math. Comput. Sci., 2021
[10] Modeling the dynamics of tuberculosis with drug resistance in North Shoa Zone, Oromiya Regional State, Ethiopia
2021
[11] Dynamics of Tuberculosis (TB) with Drug Resistance to First-Line Treatment and Leaky Vaccination: A Deterministic Modelling Perspective
2021
[12] Mathematical modeling and analysis of the dynamics of hepatitis B with optimal control
2021
[13] A deterministic model for the transmission dynamics of tuberculosis (TB) with optimal control
2021
[14] An optimal control model with cost effectiveness analysis of Maize streak virus disease in maize plant
2021
[15] Research Article Dynamics of Tuberculosis (TB) with Drug Resistance to First-Line Treatment and Leaky Vaccination: A Deterministic Modelling Perspective
2021
[16] Analysis of Listeriosis Transmission Dynamics with Optimal Control
2020
[17] Bifurcation, sensitivity and optimal control analysis of modelling anthrax-listeriosis co-dynamics
2020
[18] Stability analysis and modeling the dynamics of Hepatitis B with vaccination compartment
[19] On this page

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.