About: On a Comprehensive Model of the Novel Coronavirus (COVID-19) Under Mittag-Leffler Derivative

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	On a Comprehensive Model of the Novel Coronavirus (COVID-19) Under Mittag-Leffler Derivative
Creator	Abdo, Mohammed Panchal, Satish Shah, Kamal Wahash, Hanan
Source	Elsevier; Medline; PMC
abstract	Abstract The major purpose of the presented study is to analyze and find the solution for the model of nonlinear fractional differential equations (FDEs) describing the deadly and most parlous virus so-called coronavirus (COVID-19). The mathematical model depending of fourteen nonlinear FDEs is presented and the corresponding numerical results are studied by applying the fractional Adams Bashforth (AB) method. Moreover, a recently introduced fractional nonlocal operator known as Atangana-Baleanu (AB) is applied in order to realize more effectively. For the current results, the fixed point theorems of Krasnoselskii and Banach are hired to present the existence, uniqueness as well as stability of the model. For numerical simulations, the behavior of the approximate solution is presented in terms of graphs through various fractional orders. Finally, a brief discussion on conclusion about the simulation is given to describe how the transmission dynamics of infection take place in society.
has issue date	2020-05-08(xsd:dateTime)
bibo:doi	10.1016/j.chaos.2020.109867
bibo:pmid	32390692
has license	els-covid
sha1sum (hex)	11e9ece57ff751122ccace09987dcd0d0a06f7a0
schema:url	https://doi.org/10.1016/j.chaos.2020.109867
resource representing a document's title	On a Comprehensive Model of the Novel Coronavirus (COVID-19) Under Mittag-Leffler Derivative
has PubMed Central identifier	PMC7205740
has PubMed identifier	32390692
schema:publication	Chaos Solitons Fractals
resource representing a document's body	covid:11e9ece57ff751122ccace09987dcd0d0a06f7a0#body_text
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