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ABC Fractional Order Vaccination Model for Covid-19 with Self-Protective Measures

A mathematical model delineating the control strategies in transference of Covid-19 pandemic is examined through Atangana–Baleanu Caputo type fractional derivatives. The total count of people under observation is classified into Susceptible, Vaccinated, Infected and Protected groups (SVIP). The desi...

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Autores principales: Vijayalakshmi, G. M., Roselyn Besi, P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer India 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9096354/
https://www.ncbi.nlm.nih.gov/pubmed/35578713
http://dx.doi.org/10.1007/s40819-022-01316-2
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author Vijayalakshmi, G. M.
Roselyn Besi, P.
author_facet Vijayalakshmi, G. M.
Roselyn Besi, P.
author_sort Vijayalakshmi, G. M.
collection PubMed
description A mathematical model delineating the control strategies in transference of Covid-19 pandemic is examined through Atangana–Baleanu Caputo type fractional derivatives. The total count of people under observation is classified into Susceptible, Vaccinated, Infected and Protected groups (SVIP). The designed model studies the efficiency of vaccination and personal precautions incorporated qualitatively by every individual via fixed point theorem. Stability of the system has been investigated with spectral characterisation of Ulam Hyer’s kind. Numerical interpolation has been derived by Adam’s semi-analytical technique and we have approximated the solution. We have proved the theoretical analysis through graphical simulations that vaccination and self protective interventions are the significant role to decrease the contagious expansion of the virus among the people in process.
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spelling pubmed-90963542022-05-12 ABC Fractional Order Vaccination Model for Covid-19 with Self-Protective Measures Vijayalakshmi, G. M. Roselyn Besi, P. Int J Appl Comput Math Original Paper A mathematical model delineating the control strategies in transference of Covid-19 pandemic is examined through Atangana–Baleanu Caputo type fractional derivatives. The total count of people under observation is classified into Susceptible, Vaccinated, Infected and Protected groups (SVIP). The designed model studies the efficiency of vaccination and personal precautions incorporated qualitatively by every individual via fixed point theorem. Stability of the system has been investigated with spectral characterisation of Ulam Hyer’s kind. Numerical interpolation has been derived by Adam’s semi-analytical technique and we have approximated the solution. We have proved the theoretical analysis through graphical simulations that vaccination and self protective interventions are the significant role to decrease the contagious expansion of the virus among the people in process. Springer India 2022-05-12 2022 /pmc/articles/PMC9096354/ /pubmed/35578713 http://dx.doi.org/10.1007/s40819-022-01316-2 Text en © The Author(s), under exclusive licence to Springer Nature India Private Limited 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Original Paper
Vijayalakshmi, G. M.
Roselyn Besi, P.
ABC Fractional Order Vaccination Model for Covid-19 with Self-Protective Measures
title ABC Fractional Order Vaccination Model for Covid-19 with Self-Protective Measures
title_full ABC Fractional Order Vaccination Model for Covid-19 with Self-Protective Measures
title_fullStr ABC Fractional Order Vaccination Model for Covid-19 with Self-Protective Measures
title_full_unstemmed ABC Fractional Order Vaccination Model for Covid-19 with Self-Protective Measures
title_short ABC Fractional Order Vaccination Model for Covid-19 with Self-Protective Measures
title_sort abc fractional order vaccination model for covid-19 with self-protective measures
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9096354/
https://www.ncbi.nlm.nih.gov/pubmed/35578713
http://dx.doi.org/10.1007/s40819-022-01316-2
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