Quantifying the impact of covid-19 control measures using a bayesian model of physical distancing

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  • who: Sean C. Anderson and collaborators from the University of Victoria, Victoria, Department of Mathematics, Simon Fraser University, Burnaby have published the paper: Quantifying the impact of COVID-19 control measures using a Bayesian model of physical distancing, in the Journal: (JOURNAL) of May/21,/2020
  • what: This approach provides a useful tool for jurisdictions to monitor and assess current levels of distancing relative to their threshold which will continue to be essential through subsequent waves of this pandemic. The authors focus on BC, and also apply the methods to New PLOS Computational Biology | https . . .

     

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