Stoc free: an innovative framework to compare probability of freedom from infection in heterogeneous control programmes

HIGHLIGHTS

  • who: Annika M. van Roon from the University of Minnesota Twin Cities, United States have published the paper: STOC Free: An Innovative Framework to Compare Probability of Freedom From Infection in Heterogeneous Control Programmes, in the Journal: (JOURNAL)
  • what: Using meta analyses, the authors aim to determine generic risk estimates for the most influential risk factors for introduction or delayed detection that can be used as default values in the STOC free framework.
  • future: These methods are promising but further research is need to allow simple and practical field-based application to enable . . .

     

    Logo ScioWire Beta black

    If you want to have access to all the content you need to log in!

    Thanks :)

    If you don't have an account, you can create one here.

     

Scroll to Top

Add A Knowledge Base Question !

+ = Verify Human or Spambot ?