Author: de Silva, Eric; Ferguson, Neil M.; Fraser, Christophe
Title: Inferring pandemic growth rates from sequence data Document date: 2012_8_7
ID: 1piyoafd_6
Snippet: During the recent pandemic of H1N1 influenza in 2009, such techniques were used fruitfully in the early phase of the epidemic to estimate the rate of spread and the likely date of first emergence of this virus in the human population [8, 9] . In common with all RNA viruses, H1N1 influenza has a high mutation rate and short generation time such that genetic changes encode epidemiological information. The combination of these properties allow use o.....
Document: During the recent pandemic of H1N1 influenza in 2009, such techniques were used fruitfully in the early phase of the epidemic to estimate the rate of spread and the likely date of first emergence of this virus in the human population [8, 9] . In common with all RNA viruses, H1N1 influenza has a high mutation rate and short generation time such that genetic changes encode epidemiological information. The combination of these properties allow use of both sequence data and temporal information obtained early on in the pandemic to compute infection dynamics while the pandemic is still progressing.
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