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A computational framework for modelling infectious disease policy based on age and household structure with applications to the COVID-19 pandemic.

Joe HiltonHeather RileyLorenzo PellisRabia AzizaSamuel P. C. BrandIvy K. KombeJohn OjalAndrea ParisiMatt J. KeelingD. James NokesRobert Manson-SawkoThomas A. House
Published in: PLoS Comput. Biol. (2022)
Keyphrases
  • computational framework
  • public health
  • infectious disease
  • computational model
  • active vision
  • tensor voting
  • policy makers
  • database
  • relational databases
  • early warning
  • west nile virus