Predictive Modeling and Control Strategies for the Transmission of Middle East Respiratory Syndrome Coronavirus
Abstract
:1. Introduction
2. Model Formulation
3. Basic Reproduction Number
Analysis of Sensitivity
4. Equilibria Points
4.1. Local Stability
4.2. Analysis of Global Stability
5. Results and Discussion
Used Algorithm
6. Analysis of Optimal Control
6.1. Methods
6.2. Results and Discussion for Optimal Control
7. Conclusions
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Notation | Sensitivity Values | Notation | Sensitivity Values |
---|---|---|---|
0.0384651 | −0.058565 | ||
−0.00000453 | −0.93704 | ||
−0.001464128 | −0.041392 | ||
0.99999 | q | 0.0000476 | |
0.99999 | 0.000432 |
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Fatima, B.; Yavuz, M.; ur Rahman, M.; Althobaiti, A.; Althobaiti, S. Predictive Modeling and Control Strategies for the Transmission of Middle East Respiratory Syndrome Coronavirus. Math. Comput. Appl. 2023, 28, 98. https://doi.org/10.3390/mca28050098
Fatima B, Yavuz M, ur Rahman M, Althobaiti A, Althobaiti S. Predictive Modeling and Control Strategies for the Transmission of Middle East Respiratory Syndrome Coronavirus. Mathematical and Computational Applications. 2023; 28(5):98. https://doi.org/10.3390/mca28050098
Chicago/Turabian StyleFatima, Bibi, Mehmet Yavuz, Mati ur Rahman, Ali Althobaiti, and Saad Althobaiti. 2023. "Predictive Modeling and Control Strategies for the Transmission of Middle East Respiratory Syndrome Coronavirus" Mathematical and Computational Applications 28, no. 5: 98. https://doi.org/10.3390/mca28050098