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Predicting elimination of evolving virus variants.

Elliott HughesRachelle BinnyShaun HendyAlex James
Published in: Mathematical medicine and biology : a journal of the IMA (2022)
As the SARS-CoV-2 virus spreads around the world new variants are appearing regularly. Although some countries have achieved very swift and successful vaccination campaigns, on a global scale the vast majority of the population is unvaccinated and new variants are proving more resistant to the current set of vaccines. We present a simple model of disease spread, which includes the evolution of new variants of a novel virus and varying vaccine effectiveness to these new strains. We show that rapid vaccine updates to target new strains are more effective than slow updates and containing spread through non-pharmaceutical interventions is vital while these vaccines are delivered. Finally, when measuring the key model inputs, e.g. the rate at which new mutations and variants of concern emerge, is difficult we show how an observable model output, the number of new variants that have been seen, is strongly correlated with the probability the virus is eliminated.
Keyphrases
  • copy number
  • sars cov
  • escherichia coli
  • randomized controlled trial
  • systematic review
  • physical activity
  • disease virus
  • respiratory syndrome coronavirus