Successive waves of COVID 19: confinement effects on virus-prevalence with a mathematical model.

ABSTRACT:

Background

A pandemic outbreak of severe acute respiratory syndrome coronavirus 2 (COVID 19) incidence data are largely available online. Until August 17, COVID 19 has hit more than 22 million individuals all over the globe. So, it is urged to get clear information about the prevalence of the virus. Therefore, one can manipulate easily a suitable mathematical model to fit these published data.

Methods

We propose a mathematical model that considers the total population, in 25 countries, either infected by COVID 19 or confined (safe) during the period from November 17, 2019, to August 17, 2020. The model considers the total population as a complex number; the imaginary part is the number of infected individuals and the real part is the number of confined individuals. This clas

SUBMITTER: Abdalla S 

PROVIDER: S-EPMC8556837 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature