Selective sweeps in SARS-CoV-2 variant competition.
Proc Natl Acad Sci U S A
; 119(47): e2213879119, 2022 Nov 22.
Article
in English
| MEDLINE | ID: covidwho-2252862
ABSTRACT
The main mathematical result in this paper is that change of variables in the ordinary differential equation (ODE) for the competition of two infections in a Susceptible-Infected-Removed (SIR) model shows that the fraction of cases due to the new variant satisfies the logistic differential equation, which models selective sweeps. Fitting the logistic to data from the Global Initiative on Sharing All Influenza Data (GISAID) shows that this correctly predicts the rapid turnover from one dominant variant to another. In addition, our fitting gives sensible estimates of the increase in infectivity. These arguments are applicable to any epidemic modeled by SIR equations.
Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Influenza, Human
/
Epidemics
/
COVID-19
Type of study:
Prognostic study
Topics:
Variants
Limits:
Humans
Language:
English
Journal:
Proc Natl Acad Sci U S A
Year:
2022
Document Type:
Article
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