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Competitive Analysis for Stochastic Influenza Model With Constant Vaccination Strategy

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Date

2019

Journal Title

Journal ISSN

Volume Title

Publisher

inst Engineering Technology-iet

Open Access Color

GOLD

Green Open Access

No

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No
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Top 10%
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Top 10%
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Top 10%

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Abstract

This manuscript discusses a competitive analysis of stochastic influenza model with constant vaccination strategy. The stochastic influenza model is comparatively more pragmatic versus the deterministic influenza model. The effect of influenza generation number holds in the stochastic model. If the value of this number is less than one, this situation will help us to control the disease in a population. A greater than one value of this threshold number shows the persistence of disease to become endemic. The proposed structure for the stochastic influenza model as stochastic non-standard finite difference scheme conserve all vital characteristics like positivity, boundedness and dynamical consistency defined by Mickens.

Description

Raza, Ali/0000-0002-6443-9966; Arif, Muhammad Shoaib/0000-0002-6009-5609; Rafiq, Muhammad/0000-0002-2165-3479

Keywords

Diseases, Finite Difference Methods, Stochastic Processes, Competitive Analysis, Stochastic Influenza Model, Constant Vaccination Strategy, Deterministic Influenza Model, Influenza Generation Number, Stochastic Model, Stochastic Processes, Models, Statistical, Influenza, Human, Vaccination, Humans

Fields of Science

0301 basic medicine, 0303 health sciences, 03 medical and health sciences

Citation

Baleanu, Dumitru...et al. (2019). "Competitive Analysis for Stochastic Influenza Model With Constant Vaccination Strategy",Iet Systems Biology, Vol. 13, No. 6, pp. 316-326.

WoS Q

Q3

Scopus Q

Q4
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OpenCitations Citation Count
16

Source

IET Systems Biology

Volume

13

Issue

6

Start Page

316

End Page

326
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Citations

CrossRef : 16

Scopus : 19

PubMed : 4

Captures

Mendeley Readers : 6

SCOPUS™ Citations

19

checked on Feb 24, 2026

Web of Science™ Citations

17

checked on Feb 24, 2026

Page Views

4

checked on Feb 24, 2026

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3.03896111

Sustainable Development Goals

3

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