Mathematical modeling and optimal control analysis of lumpy skin disease in domestic cattle

In the presents investigation a fractional-order SIR mathematical model formulated with the Caputo-Fabrizio derivative to investigate the transmission dynamics of Lumpy Skin Disease (LSD) in domestic cattle. Model parameter characteristic included as positivity, boundedness and the basic reproduction number are analytically established along with existence and uniqueness proven by the fixed-point theory. Optimal control strategies derived using Pontryagin's maximum principle target infection reduction through prevention, pre-treatment and enhanced treatment measures. Numerical simulations have been carried out the fractional-order dynamics which capture the real-world complexities with lower fractional order accelerating disease spread. Comparative analysis with integer-order models confirms the superior applicability of fractional calculus. The obtained results demonstrate that the proposed control measures can substantially reduce infection levels, offering practical guidance for LSD mitigation in cattle populations.

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Publication Details

Journal
Scientific Reports
Published
2025-10-29
DOI
https://doi.org/10.1038/s41598-025-21660-9
Primary Topic
Poxvirus research and outbreaks
Type
article
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article

Mathematical modeling and optimal control analysis of lumpy skin disease in domestic cattle

Ram Prasad Yadav, Renu Renu
Scientific Reports
Poxvirus research and outbreaks
article

Mathematical modeling and optimal control analysis of lumpy skin disease in domestic cattle

Ram Prasad Yadav, Renu Renu
article en

Abstract

In the presents investigation a fractional-order SIR mathematical model formulated with the Caputo-Fabrizio derivative to investigate the transmission dynamics of Lumpy Skin Disease (LSD) in domestic cattle. Model parameter characteristic included as positivity, boundedness and the basic reproduction number are analytically established along with existence and uniqueness proven by the fixed-point theory. Optimal control strategies derived using Pontryagin's maximum principle target infection reduction through prevention, pre-treatment and enhanced treatment measures. Numerical simulations have been carried out the fractional-order dynamics which capture the real-world complexities with lower fractional order accelerating disease spread. Comparative analysis with integer-order models confirms the superior applicability of fractional calculus. The obtained results demonstrate that the proposed control measures can substantially reduce infection levels, offering practical guidance for LSD mitigation in cattle populations.

Scientific ReportsVol. 15(1)
Bhupendra Narayan Mandal University (IN), SRM University (IN)
Openalex Percentile: Top 67%
Poxvirus research and outbreaks
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