Quantifying differences in the epidemic curves from three influenza surveillance systems: a nonlinear regression analysis
Influenza surveillance enables systematic collection of data on spatially and demographically heterogeneous epidemics. Different data collection mechanisms record different aspects of the underlying epidemic with varying bias and noise. We aimed to characterize key differences in weekly incidence data from three influenza surveillance systems in Melbourne, Australia, from 2009 to 2012: laboratory-confirmed influenza notified to the Victorian Department of Health, influenza-like illness (ILI)...[Show more]
|Collections||ANU Research Publications|
|Source:||Epidemiology and Infection|
|01_Thomas_Quantifying_differences_in_the_2014.pdf||1.02 MB||Adobe PDF||Request a copy|
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