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

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

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Novel Dynamic Structures of 2019-nCoV with Nonlocal Operator via Powerful Computational Technique
Creator	Gao, Wei Mehmet Baskonus, Haci Prakasha, D Veeresha, P
Source	Medline; PMC
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.
has issue date	2020-05-21(xsd:dateTime)
bibo:doi	10.3390/biology9050107
bibo:pmid	32455617
has license	cc-by
sha1sum (hex)	e025a760255cc137e3d8fcf4e0f067ad9b0ff266
schema:url	https://doi.org/10.3390/biology9050107
resource representing a document's title	Novel Dynamic Structures of 2019-nCoV with Nonlocal Operator via Powerful Computational Technique
has PubMed Central identifier	PMC7325572
has PubMed identifier	32455617
schema:publication	Biology (Basel)
resource representing a document's body	covid:e025a760255cc137e3d8fcf4e0f067ad9b0ff266#body_text
is schema:about of	named entity 'infection' named entity '2019-nCoV' named entity 'China' named entity 'fractional' named entity 'OBSERVE' named entity 'SYSTEM' named entity 'defined' named entity 'mathematical model' named entity 'Wuhan' named entity 'physical' named entity 'This' named entity 'Dynamic Structures' named entity 'Novel' named entity '2019-nCoV' named entity 'Dynamic Structures' named entity 'investigate' named entity 'number of people affected' named entity 'exponential increase' named entity 'basic reproduction number' named entity 'human monoclonal antibody' named entity 'virus' named entity 'epidemic' named entity 'natural transformation' named entity 'SARS-CoV' named entity 'viruses' named entity 'MERS' named entity '2019-nCoV' named entity 'receptor' named entity 'super-spreading' named entity 'cross-reactivity' named entity 'death rate' named entity 'outbreak of the coronavirus' named entity 'neurological diseases' named entity 'SARS-CoV' named entity 'Wuhan' named entity 'nausea' named entity '2019-nCoV' named entity 'disease-free' named entity 'Heaviside function' named entity 'monoclonal antibodies' named entity 'common ancestor' named entity 'cell entry' named entity 'virology' named entity 'fractional derivative' named entity '2019-nCoV' named entity 'fractional derivative' named entity 'immunological' named entity 'China' named entity 'wild animal' named entity 'breathing difficulties' named entity '2019-nCoV' named entity 'quarantine' named entity '2019-nCoV' named entity 'SARS' named entity '2019-nCoV' named entity '2019-nCoV' named entity 'fractional calculus' named entity '2019-nCoV' named entity 'SARS-CoV' named entity 'Wuhan' named entity 'WHO' named entity 'SARS' named entity 'coronavirus' named entity 'natural transformation' named entity 'epidemic' named entity '2019-nCoV' named entity 'SARS-like coronavirus' named entity 'phylogenetic analysis' named entity 'neuroscience' named entity 'phylogenetic tree' named entity 'T-cell' named entity 'virus' named entity '2019-nCoV' named entity 'incubation period' named entity 'transmissibility' named entity '2019-nCoV' named entity 'Wuhan' named entity 'mutation'

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