Reducing uncertainty in within-host parameter estimates of influenza infection by measuring both infectious and total viral load

HIGHLIGHTS

  • who: Stephen M. Petrie and colleagues from the Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia, Monash University, Churchill, Victoria, Australia, World have published the paper: Reducing Uncertainty in Within-Host Parameter Estimates of Influenza Infection by Measuring Both Infectious and Total Viral Load, in the Journal: PLOS ONE | www.plosone.org of May/15,/2013
  • what: The authors investigate in_vivo whether measurement of both infectious and total influenza virus, when fit with an appropriate within-host model, can reduce uncertainties when estimating model parameters. The authors develop a . . .

     

    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 ?