ArticleEuropean physical journal plus2023
Transition dynamics between a novel coinfection model of fractional-order for COVID-19 and tuberculosis via a treatment mechanism.
Article in European physical journal plus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Fractional-order epidemic modeling with a deep neural network framework.Scientific reports · 2026Article
- Utilizing fractional-order operator to Alzheimer's disease dynamics.Scientific reports · 2026Article
- Modeling and analysis using piecewise hybrid fractional operator in time scale measure for ebola virus epidemics under Mittag-Leffler kernel.Scientific reports · 2024Article
- Stability Analysis of a Fractional-Order African Swine Fever Model with Saturation Incidence.Animals : an open access journal from MDPI · 2024Article
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Authors and funding
2 authors.
Funding
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Abstract
In this paper, a fractional-order coinfection model for the transmission dynamics of COVID-19 and tuberculosis is presented. The positivity and boundedness of the proposed coinfection model are derived. The equilibria and basic reproduction number of the COVID-19 sub-model, Tuberculosis sub-model, and COVID-19 and Tuberculosis coinfection model are derived. The local and global stability of both the COVID-19 and Tuberculosis sub-models are discussed. The equilibria of the coinfection model are locally asymptotically stable under certain conditions. Later, the impact of COVID-19 on TB and TB on COVID-19 is analyzed. Finally, the numerical simulation is carried out to assess the effect of various biological parameters in the transmission dynamics of COVID-19 and Tuberculosis coinfection.
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Registered trials
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