Transmission dynamics of fractional order SVEIR model for African swine fever virus with optimal control analysis

Understanding the dynamics of the African swine fever virus during periods of intense replication is critical for effective combatting of the rapid spread. In our research, we have developed a fractional-order SVEIR model using the Caputo derivatives to investigate this behaviour. We have established the existence and uniqueness of the solution through fixed point theory and determined the basic reproduction number using the next-generation matrix method. Our study also involves an examination of the local and global stability of disease-free equilibrium points. Additionally, we have conducted optimal control analysis with two control variables to increase the number of recovered pigs while reducing the number of those infected and exposed. We have supported our findings with numerical simulations to demonstrate the effectiveness of the control strategy.

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Publication Details

Journal
Scientific Reports
Published
2024-11-08
DOI
https://doi.org/10.1038/s41598-024-78140-9
Citations
4
Primary Topic
Animal Virus Infections Studies
Type
article
Field-Weighted Citation Impact
1.36

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article

Transmission dynamics of fractional order SVEIR model for African swine fever virus with optimal control analysis

V. Parthiban, L. Shangerganesh, S. Suganya, S. Hariharan
4 citations
Scientific Reports
Animal Virus Infections Studies
1.36
article

Transmission dynamics of fractional order SVEIR model for African swine fever virus with optimal control analysis

V. Parthiban, L. Shangerganesh, S. Suganya, S. Hariharan
article en
4 citations

Abstract

Understanding the dynamics of the African swine fever virus during periods of intense replication is critical for effective combatting of the rapid spread. In our research, we have developed a fractional-order SVEIR model using the Caputo derivatives to investigate this behaviour. We have established the existence and uniqueness of the solution through fixed point theory and determined the basic reproduction number using the next-generation matrix method. Our study also involves an examination of the local and global stability of disease-free equilibrium points. Additionally, we have conducted optimal control analysis with two control variables to increase the number of recovered pigs while reducing the number of those infected and exposed. We have supported our findings with numerical simulations to demonstrate the effectiveness of the control strategy.

Scientific ReportsVol. 14(1)
National Institute of Technology Goa (IN), Vellore Institute of Technology University (IN), Dr. Hari Singh Gour University (IN)
Vellore Institute of Technology, Chennai, VIT University
Good health and well-being
Openalex Percentile: Top 21%
Animal Virus Infections Studies
1.36
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