Open AccessFractional order COVID-19 model with transmission rout infected through environment
Author(s) -
Shao-Wen Yao,
AUTHOR_ID,
Muhammad Farman,
Maryam Amin,
Mustafa İnç,
Ali Akgül,
Aqeel Ahmad,
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AUTHOR_ID,
AUTHOR_ID,
AUTHOR_ID,
AUTHOR_ID
Publication year - 2022
Publication title -
aims mathematics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.329
H-Index - 15
ISSN - 2473-6988
DOI - 10.3934/math.2022288
Subject(s) - uniqueness , covid-19 , operator (biology) , fractal , sensitivity (control systems) , order (exchange) , stability (learning theory) , transmission (telecommunications) , mathematics , fixed point theorem , fixed point , computer science , medicine , mathematical analysis , telecommunications , engineering , economics , machine learning , biology , electronic engineering , biochemistry , disease , finance , pathology , repressor , transcription factor , infectious disease (medical specialty) , gene
In this paper, we study a fractional order COVID-19 model using different techniques and analysis. The sumudu transform is applied with the environment as a route of infection in society to the proposed fractional-order model. It plays a significant part in issues of medical and engineering as well as its analysis in community. Initially, we present the model formation and its sensitivity analysis. Further, the uniqueness and stability analysis has been made for COVID-19 also used the iterative scheme with fixed point theorem. After using the Adams-Moulton rule to support our results, we examine some results using the fractal fractional operator. Demonstrate the numerical simulations to prove the efficiency of the given techniques. We illustrate the visual depiction of sensitive parameters that reveal the decrease and triumph over the virus within the network. We can reduce the virus by the appropriate recognition of the individuals in community of Saudi Arabia.