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Evolution of resistance to COVID-19 vaccination with dynamic social distancing.

Gabriela LobinskaAdy PauznerArne TraulsenYitzhak PilpelMartin A Nowak
Published in: Nature human behaviour (2022)
The greatest hope for a return to normalcy following the COVID-19 pandemic is worldwide vaccination. Yet, a relaxation of social distancing that allows increased transmissibility, coupled with selection pressure due to vaccination, will probably lead to the emergence of vaccine resistance. We analyse the evolutionary dynamics of COVID-19 in the presence of dynamic contact reduction and in response to vaccination. We use infection and vaccination data from six different countries. We show that under slow vaccination, resistance is very likely to appear even if social distancing is maintained. Under fast vaccination, the emergence of mutants can be prevented if social distancing is maintained during vaccination. We analyse multiple human factors that affect the evolutionary potential of the virus, including the extent of dynamic social distancing, vaccination campaigns, vaccine design, boosters and vaccine hesitancy. We provide guidelines for policies that aim to minimize the probability of emergence of vaccine-resistant variants.
Keyphrases
  • healthcare
  • mental health
  • coronavirus disease
  • sars cov
  • public health
  • endothelial cells
  • gene expression
  • machine learning
  • climate change
  • big data
  • electronic health record