Author: de Silva, Eric; Ferguson, Neil M.; Fraser, Christophe
Title: Inferring pandemic growth rates from sequence data Document date: 2012_8_7
ID: 1piyoafd_26
Snippet: We simulate viral spread under a reasonable range of values for the R and k parameters. We examine R ¼ 1.5 (a typical estimate for the 2009 pandemic [8] ) and in addition the higher values of 2.0 and 2.5 which may be more realistic for 'typical' previous influenza pandemics [25] . Because the dispersion parameter k is unknown, we consider a wide range, from extreme superspreading (such as thought to apply to the severe acute respiratory syndrome.....
Document: We simulate viral spread under a reasonable range of values for the R and k parameters. We examine R ¼ 1.5 (a typical estimate for the 2009 pandemic [8] ) and in addition the higher values of 2.0 and 2.5 which may be more realistic for 'typical' previous influenza pandemics [25] . Because the dispersion parameter k is unknown, we consider a wide range, from extreme superspreading (such as thought to apply to the severe acute respiratory syndrome epidemic [19] ) (k ¼ 0.1) to more homogenous infectiousness (k ¼ 1 and 10).
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