Selected article for: "epidemic exponential growth and exponential growth"

Author: de Silva, Eric; Ferguson, Neil M.; Fraser, Christophe
Title: Inferring pandemic growth rates from sequence data
  • Document date: 2012_8_7
  • ID: 1piyoafd_38
    Snippet: Similarly, the blue curves graph the BSPs generated from the same simulated sequences via log-proportional sampling. These estimates were therefore generated with many more sequences (typically around three times more; table 2). The N e estimates obtained under this sampling scheme capture the exponential growth of the epidemic better than those obtained from uniform sampling, but there is still a slowdown in estimated growth rates during the lat.....
    Document: Similarly, the blue curves graph the BSPs generated from the same simulated sequences via log-proportional sampling. These estimates were therefore generated with many more sequences (typically around three times more; table 2). The N e estimates obtained under this sampling scheme capture the exponential growth of the epidemic better than those obtained from uniform sampling, but there is still a slowdown in estimated growth rates during the latter stages of the epidemic. The gains in accuracy achieved by denser sampling are modest, and the bias of apparent flattening towards the present, visible in all simulations, is only modestly reduced.

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