2018
DOI: 10.21833/ijaas.2018.01.016
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Dynamical behavior of SIR epidemic model with non-integer time fractional derivatives: A mathematical analysis

Abstract: Protection of children from vaccine preventable diseases, such as measles is among primary goal for health worker. Measles is a highly contagious disease that can spread in a population depending on the number of peoples susceptible or infected and also depending on their dynamics in the community. The model monitors the temporal dynamics of a childhood disease in the presence of preventive vaccine. We presented a nonlinear time fractional model of measles in order to understand the outbreaks of this epidemic … Show more

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Cited by 23 publications
(18 citation statements)
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“…The discrete method given in (22,25,29,32) is indeed an NSFD scheme because it is constructed according to Mickens rules [32] formalized as follows in [33]. Note that the denominator function φ is expected to better capture the dynamics of the continuous model through the presence of the underlying parameters d 3 , µ, γ.…”
Section: Sensitivity Analysis Of Rmentioning
confidence: 99%
See 1 more Smart Citation
“…The discrete method given in (22,25,29,32) is indeed an NSFD scheme because it is constructed according to Mickens rules [32] formalized as follows in [33]. Note that the denominator function φ is expected to better capture the dynamics of the continuous model through the presence of the underlying parameters d 3 , µ, γ.…”
Section: Sensitivity Analysis Of Rmentioning
confidence: 99%
“…The major idea in these models is that the people will start to live healthy in a community. Diseases may effect the healthy peoples but effected one could become healthy again in the community [19][20][21][22]. Different numerical technique can be employed for epidemic model to analyse the data for control strategy.…”
Section: Introductionmentioning
confidence: 99%
“…Fractional-order models are more convincing and useful than the classical-order models. 11,12 Laplace transform methodology could be a helpful technique in numerous fields of life science, engineering, and math. The coupling of ADM and astronomer Pierre Simon de Laplace transformation leads to a study methodology noted as Laplace Adomain decomposition method.…”
Section: Introductionmentioning
confidence: 99%
“…Fractional order derivative produces greater degree of freedom in these models. Arbitrary order derivatives are powerful tools for the discretion of the dynamical behavior of various biomaterial and systems [16,17].…”
Section: Introductionmentioning
confidence: 99%