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Predictive dynamical modeling and stability of the equilibria in a discrete fractional difference COVID-19 epidemic model.
Chu, Yu-Ming; Rashid, Saima; Akdemir, Ahmet Ocak; Khalid, Aasma; Baleanu, Dumitru; Al-Sinan, Bushra R; Elzibar, O A I.
Afiliação
  • Chu YM; Department of Mathematics, Huzhou University, Huzhou, 313000, China.
  • Rashid S; Department of Mathematics, Government College University, Faisalabad 38000, Pakistan.
  • Akdemir AO; Department of Mathematics, Faculty of Science and Arts, Agri Ibrahim Cecen University, Agri, Turkey.
  • Khalid A; Department of Mathematics, Government College women University, Faisalabad, Pakistan.
  • Baleanu D; Department of Mathematics, Cankaya University, Ankara, Turkey.
  • Al-Sinan BR; Institute of Space Sciences, 06530 Bucharest, Romania.
  • Elzibar OAI; Department of Natural Sciences, School of Arts and Sciences, Lebanese American University, Beirut 11022801, Lebanon.
Results Phys ; 49: 106467, 2023 Jun.
Article em En | MEDLINE | ID: mdl-37153140
ABSTRACT
The SARSCoV-2 virus, also known as the coronavirus-2, is the consequence of COVID-19, a severe acute respiratory syndrome. Droplets from an infectious individual are how the pathogen is transmitted from one individual to another and occasionally, these particles can contain toxic textures that could also serve as an entry point for the pathogen. We formed a discrete fractional-order COVID-19 framework for this investigation using information and inferences from Thailand. To combat the illnesses, the region has implemented mandatory vaccination, interpersonal stratification and mask distribution programs. As a result, we divided the vulnerable people into two groups those who support the initiatives and those who do not take the influence regulations seriously. We analyze endemic problems and common data while demonstrating the threshold evolution defined by the fundamental reproductive quantity R 0 . Employing the mean general interval, we have evaluated the configuration value systems in our framework. Such a framework has been shown to be adaptable to changing pathogen populations over time. The Picard Lindelöf technique is applied to determine the existence-uniqueness of the solution for the proposed scheme. In light of the relationship between the R 0 and the consistency of the fixed points in this framework, several theoretical conclusions are made. Numerous numerical simulations are conducted to validate the outcome.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Results Phys Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Results Phys Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China