Non-standard computational analysis of the stochastic COVID-19 pandemic model: An application of computational biology

The present study is conducted to analyse the computational dynamical analysis of the stochastic susceptible-infected-recovered pandemic model of the novel coronavirus. We adopted two ways for stochastic modelling like as transition probabilities and parametric perturbation techniques. We applied di...

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Detalles Bibliográficos
Autores principales: Aslam Noor, Muhammad, Raza, Ali, Arif, Muhammad Shoaib, Rafiq, Muhammad, Sooppy Nisar, Kottakkaran, Khan, Ilyas, Abdelwahab, Sayed F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Alexandria University. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8214942/
http://dx.doi.org/10.1016/j.aej.2021.06.039

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8214942/
http://dx.doi.org/10.1016/j.aej.2021.06.039

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