Reinfection with SARS-CoV-2: Discrete SIR (Susceptible, Infected, Recovered) Modeling Using Empirical Infection Data.

ABSTRACT:

Background

The novel coronavirus SARS-CoV-2, which causes the COVID-19 disease, has resulted in a global pandemic. Since its emergence in December 2019, the virus has infected millions of people, caused the deaths of hundreds of thousands, and resulted in incalculable social and economic damage. Understanding the infectivity and transmission dynamics of the virus is essential to determine how best to reduce mortality while ensuring minimal social restrictions on the lives of the general population. Anecdotal evidence is available, but detailed studies have not yet revealed whether infection with the virus results in immunity.

Objective

The objective of this study was to use mathematical modeling to investigate the reinfection frequency of COVID-19.

Methods

We have use

SUBMITTER: McMahon A 

PROVIDER: S-EPMC7674142 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature