Author: de Silva, Eric; Ferguson, Neil M.; Fraser, Christophe
Title: Inferring pandemic growth rates from sequence data Document date: 2012_8_7
ID: 1piyoafd_9
Snippet: To further understand the impact of these biases, and more generally to validate methods for imputing epidemic growth rates from sequence data, we simulated epidemics broadly similar to the H1N1 pandemic, subjected simulated datasets to many of the same biases as real data, and applied coalescentbased approaches to estimate the effective population size over time......
Document: To further understand the impact of these biases, and more generally to validate methods for imputing epidemic growth rates from sequence data, we simulated epidemics broadly similar to the H1N1 pandemic, subjected simulated datasets to many of the same biases as real data, and applied coalescentbased approaches to estimate the effective population size over time.
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