Your browser doesn't support javascript.
loading
Study of Fractional Order SEIR Epidemic Model and Effect of Vaccination on the Spread of COVID-19.
Paul, Subrata; Mahata, Animesh; Mukherjee, Supriya; Roy, Banamali; Salimi, Mehdi; Ahmadian, Ali.
Afiliación
  • Paul S; Department of Mathematics, Arambagh Government Polytechnic, Arambagh, West Bengal India.
  • Mahata A; Mahadevnagar High School, Maheshtala, Kolkata, West Bengal 700141 India.
  • Mukherjee S; Department of Mathematics, Gurudas College, Kolkata, West Bengal 700054 India.
  • Roy B; Department of Mathematics, Bangabasi Evening College, Kolkata, West Bengal 700009 India.
  • Salimi M; Department of Mathematics and Statistics, St. Francis Xavier University, Antigonish, NS Canada.
  • Ahmadian A; Department of Law, Economics and Human Sciences, Mediterranea University of Reggio Calabria, 89125 Reggio Calabria, Italy.
Int J Appl Comput Math ; 8(5): 237, 2022.
Article en En | MEDLINE | ID: mdl-36043055
ABSTRACT
In this manuscript, a fractional order SEIR model with vaccination has been proposed. The positivity and boundedness of the solutions have been verified. The stability analysis of the model shows that the system is locally as well as globally asymptotically stable at disease-free equilibrium point E 0 when R 0 < 1 and at epidemic equilibrium E 1 when R 0 > 1 . It has been found that introduction of the vaccination parameter η reduces the reproduction number R 0 . The parameters are identified using real-time data from COVID-19 cases in India. To numerically solve the SEIR model with vaccination, the Adam-Bashforth-Moulton technique is used. We employed MATLAB Software (Version 2018a) for graphical presentations and numerical simulations.. It has been observed that the SEIR model with fractional order derivatives of the dynamical variables is much more effective in studying the effect of vaccination than the integral model.
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Int J Appl Comput Math Año: 2022 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Int J Appl Comput Math Año: 2022 Tipo del documento: Article