Literature DB >> 32455617

Novel Dynamic Structures of 2019-nCoV with Nonlocal Operator via Powerful Computational Technique.

Wei Gao1,2, P Veeresha3, D G Prakasha4, Haci Mehmet Baskonus1.   

Abstract

In this study, we investigate the infection system of the novel coronavirus (2019-nCoV) with a nonlocal operator defined in the Caputo sense. With the help of the fractional natural decomposition method (FNDM), which is based on the Adomian decomposition and natural transform methods, numerical results were obtained to better understand the dynamical structures of the physical behavior of 2019-nCoV. Such behaviors observe the general properties of the mathematical model of 2019-nCoV. This mathematical model is composed of data reported from the city of Wuhan, China.

Entities:  

Keywords:  Caputo fractional derivative; RNA; coronavirus 2019-nCoV; fractional natural decomposition method; numerical behavior

Year:  2020        PMID： 32455617     DOI： 10.3390/biology9050107

Source DB:  PubMed          Journal:  Biology (Basel)        ISSN： 2079-7737


  21 in total

1.  Higher-dimensional physical models with multimemory indices: analytic solution and convergence analysis.

Authors:  Imad Jaradat; Marwan Alquran; Ruwa Abdel-Muhsen; Shaher Momani; Dumitru Baleanu
Journal:  Adv Differ Equ       Date:  2020-07-16

2.  Modeling the impact of the vaccine on the COVID-19 epidemic transmission via fractional derivative.

Authors:  Sadia Arshad; Sadia Khalid; Sana Javed; Naima Amin; Fariha Nawaz
Journal:  Eur Phys J Plus       Date:  2022-07-11       Impact factor: 3.758

3.  New investigation of bats-hosts-reservoir-people coronavirus model and application to 2019-nCoV system.

Authors:  Wei Gao; Haci Mehmet Baskonus; Li Shi
Journal:  Adv Differ Equ       Date:  2020-08-03

4.  Appearance of Temporal and Spatial Chaos in an Ecological System: A Mathematical Modeling Study.

Authors:  S N Raw; P Mishra; B P Sarangi; B Tiwari
Journal:  Iran J Sci Technol Trans A Sci       Date:  2021-05-07       Impact factor: 1.553

5.  Examining the correlation between the weather conditions and COVID-19 pandemic in India: A mathematical evidence.

Authors:  Manash Jyoti Borah; Bipan Hazarika; Sumati Kumari Panda; Juan Jose Nieto
Journal:  Results Phys       Date:  2020-11-18       Impact factor: 4.476

6.  An Efficient Method Based on Framelets for Solving Fractional Volterra Integral Equations.

Authors:  Mutaz Mohammad; Alexander Trounev; Carlo Cattani
Journal:  Entropy (Basel)       Date:  2020-07-28       Impact factor: 2.524

7.  A fractional order epidemic model for the simulation of outbreaks of Ebola.

Authors:  Weiqiu Pan; Tianzeng Li; Safdar Ali
Journal:  Adv Differ Equ       Date:  2021-03-10

8.  On study of fractional order epidemic model of COVID-19 under non-singular Mittag-Leffler kernel.

Authors:  Sara Salem Alzaid; Badr Saad T Alkahtani
Journal:  Results Phys       Date:  2021-06-12       Impact factor: 4.476

9.  Digitalization of learning in Saudi Arabia during the COVID-19 outbreak: A survey.

Authors:  Mutasem K Alsmadi; Ibrahim Al-Marashdeh; Malek Alzaqebah; Ghaith Jaradat; Fahad A Alghamdi; Rami Mustafa A Mohammad; Muneerah Alshabanah; Daniah Alrajhi; Hanouf Alkhaldi; Nahier Aldhafferi; Abdullah Alqahtani; Usama A Badawi; Mohammed Tayfour
Journal:  Inform Med Unlocked       Date:  2021-06-15

10.  Time series forecasting of new cases and new deaths rate for COVID-19 using deep learning methods.

Authors:  Nooshin Ayoobi; Danial Sharifrazi; Roohallah Alizadehsani; Afshin Shoeibi; Juan M Gorriz; Hossein Moosaei; Abbas Khosravi; Saeid Nahavandi; Abdoulmohammad Gholamzadeh Chofreh; Feybi Ariani Goni; Jiří Jaromír Klemeš; Amir Mosavi
Journal:  Results Phys       Date:  2021-06-26       Impact factor: 4.476
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