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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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Detalhes bibliográficos
Publicado no:Alexandria Engineering Journal
Main Authors: Aslam Noor, Muhammad, Raza, Ali, Arif, Muhammad Shoaib, Rafiq, Muhammad, Sooppy Nisar, Kottakkaran, Khan, Ilyas, Abdelwahab, Sayed F.
Formato: Artigo
Idioma:Inglês
Publicado em: THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Alexandria University. 2022
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8214942/
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.aej.2021.06.039
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