Author: Sang Woo Park; David Champredon; Joshua S. Weitz; Jonathan Dushoff
Title: A practical generation interval-based approach to inferring the strength of epidemics from their speed Document date: 2018_5_2
ID: jry46itn_46
Snippet: . CC-BY 4.0 International license is made available under a The copyright holder for this preprint (which was not peer-reviewed) is the author/funder. It (6), using the mean and CV of a pseudo-realistic generation-interval distribution. "moment" approximation is based on the observed mean and CV of the distribution whereas "MLE" approximation uses the mean and CV calculated from a maximumlikelihood fit. (dotted curves) Naive approximations based .....
Document: . CC-BY 4.0 International license is made available under a The copyright holder for this preprint (which was not peer-reviewed) is the author/funder. It (6), using the mean and CV of a pseudo-realistic generation-interval distribution. "moment" approximation is based on the observed mean and CV of the distribution whereas "MLE" approximation uses the mean and CV calculated from a maximumlikelihood fit. (dotted curves) Naive approximations based on exponential (lower) and fixed (upper) generation distributions. Gray horizontal lines represent R ranges estimated by [13] : 1.05 -1.32. (Right) histogram represents rabies generation interval distributions simulated from incubation and infectious periods observed by [13] . Dashed curves represent estimated distribution of generation intervals using method of moments and MLE (corresponding to approximate speed-strength relationships of the left figure).
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