HIGHLIGHTS
- who: Antoine Allard et al. from the Vermont Complex Systems Center, and Department of Computer Science, University of Vermont, Burlington, VT, USA have published the paper: Beyond R0: heterogeneity in secondary infections and probabilistic epidemic forecasting, in the Journal: (JOURNAL) of 02/09/2022
- what: The authors demonstrate analytically that quantifying the variability in the number of secondary infections is critically important for quantifying the transmission risk of common and novel pathogens. To further this approach, the authors propose reformulating the classic network model in terms of the cumulant generating function (CGF) of secondary cases . . .
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.