Your browser doesn't support javascript.
loading
Delayed Modeling Approach to Forecast the Periodic Behavior of SARS-2.
Yu, Zhenhua; Sohail, Ayesha; Nutini, Alessandro; Arif, Robia.
Afiliación
  • Yu Z; Institute of Systems Security and Control, College of Computer Science and Technology, Xi'an University of Science and Technology, Xi'an, China.
  • Sohail A; Department of Mathematics, Comsats University Islamabad, Lahore, Pakistan.
  • Nutini A; Centro Studi Attività Motorie, Biology and Biomechanics Department, Lucca, Italy.
  • Arif R; Department of Mathematics, Comsats University Islamabad, Lahore, Pakistan.
Front Mol Biosci ; 7: 585245, 2020.
Article en En | MEDLINE | ID: mdl-33869271
The ongoing threat of Coronavirus is alarming. The key players of this virus are modeled mathematically during this research. The transmission rates are hypothesized, with the aid of epidemiological concepts and recent findings. The model reported is extended, by taking into account the delayed dynamics. Time delay reflects the fact that the dynamic behavior of transmission of the disease, at time t depends not only on the state at time t but also on the state in some period τ before time t. The research presented in this manuscript will not only help in understanding the current threat of pandemic (SARS-2), but will also contribute in making precautionary measures and developing control strategies.
Palabras clave
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Front Mol Biosci Año: 2020 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Front Mol Biosci Año: 2020 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza