Your browser doesn't support javascript.
On the dynamical model for COVID-19 with vaccination and time-delay effects: A model analysis supported by Yangzhou epidemic in 2021.
Wang, Liyan; Zhang, Qiang; Liu, Jijun.
  • Wang L; School of Mathematics, Southeast University, Nanjing, 210096, PR China.
  • Zhang Q; Nanjing Center for Applied Mathematics, Nanjing, 211135, PR China.
  • Liu J; School of Mathematics, Southeast University, Nanjing, 210096, PR China.
Appl Math Lett ; 125: 107783, 2022 Mar.
Article in English | MEDLINE | ID: covidwho-1499605
ABSTRACT
The 2019 novel coronavirus (COVID-19) emerged at the end of 2019 has a great influence on the health and lives of people all over the world. The spread principle is still unclear. This paper considers a novel evolution model of COVID-19 in terms of an integral-differential equation, involving vaccination effect and the incubation of COVID-19. The proposed mathematical model is rigorously analyzed on its asymptotic behavior with new probability functions, showing the final spread tendency. Moreover, our model is also verified numerically by the practical epidemic data of COVID-19 in Yangzhou from July to August 2021.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies Topics: Vaccines Language: English Journal: Appl Math Lett Year: 2022 Document Type: Article

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies Topics: Vaccines Language: English Journal: Appl Math Lett Year: 2022 Document Type: Article