Covid-19 vaccination policies under uncertain transmission characteristics using stochastic programming

HIGHLIGHTS

  • who: Krishna Reddy Gujjula and colleagues from the Wm Michael Barnes `, Department of Industrial and Systems Engineering, Texas A and M University, College have published the paper: COVID-19 vaccination policies under uncertain transmission characteristics using stochastic programming, in the Journal: PLOS ONE of 14/01/2022
  • what: The authors develop a new stochastic programming methodology for determining optimal vaccination policies for a multi-community heterogeneous population. The authors report on a computational study of the new methodology on a set of neighboring U.S. counties to generate vaccination policies based on vaccine The authors . . .

     

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