tetano
Editor, Senior Moderator
IET Syst Biol. 2019 Dec;13(6):316-326. doi: 10.1049/iet-syb.2019.0065. [h=1]Competitive analysis for stochastic influenza model with constant vaccination strategy.[/h]
Baleanu D[SUP]1[/SUP], Raza A[SUP]2[/SUP], Rafiq M[SUP]3[/SUP], Arif MS[SUP]4[/SUP], Ali MA[SUP]5[/SUP].
[h=3]Author information[/h] 1 Institute of Space Sciences, Magurele-Bucharest, Măgurele, Romania. 2 Stochastic Analysis and Optimization Research Group, Department of Mathematics, Air University, PAF Complex E-9, Islamabad, Pakistan. 160865@students.au.edu.pk. 3 Faculty of Engineering, University of Central Punjab, Lahore, Pakistan. 4 Stochastic Analysis and Optimization Research Group, Department of Mathematics, Air University, PAF Complex E-9, Islamabad, Pakistan. 5 Department of Mathematics, University of Lahore, Lahore, Pakistan.
[h=3]Abstract[/h] 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.
PMID: 31778128 DOI: 10.1049/iet-syb.2019.0065
Baleanu D[SUP]1[/SUP], Raza A[SUP]2[/SUP], Rafiq M[SUP]3[/SUP], Arif MS[SUP]4[/SUP], Ali MA[SUP]5[/SUP].
[h=3]Author information[/h] 1 Institute of Space Sciences, Magurele-Bucharest, Măgurele, Romania. 2 Stochastic Analysis and Optimization Research Group, Department of Mathematics, Air University, PAF Complex E-9, Islamabad, Pakistan. 160865@students.au.edu.pk. 3 Faculty of Engineering, University of Central Punjab, Lahore, Pakistan. 4 Stochastic Analysis and Optimization Research Group, Department of Mathematics, Air University, PAF Complex E-9, Islamabad, Pakistan. 5 Department of Mathematics, University of Lahore, Lahore, Pakistan.
[h=3]Abstract[/h] 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.
PMID: 31778128 DOI: 10.1049/iet-syb.2019.0065