Author: Tapiwa Ganyani; Cecile Kremer; Dongxuan Chen; Andrea Torneri; Christel Faes; Jacco Wallinga; Niel Hens
Title: Estimating the generation interval for COVID-19 based on symptom onset data Document date: 2020_3_8
ID: cq6mivr9_50
Snippet: Although these estimates are different from the ones we report, they fall within the uncertainty ranges we obtained. An important advantage of our method is that we are able to infer the generation interval distribution while allowing serial intervals to be negative. Our estimates of R are smaller than the ones reported by Tindale et al. [14] , because we use a different estimate of the growth rate r (0.04 for Singapore and 0.12 for 10 . CC-BY-NC.....
Document: Although these estimates are different from the ones we report, they fall within the uncertainty ranges we obtained. An important advantage of our method is that we are able to infer the generation interval distribution while allowing serial intervals to be negative. Our estimates of R are smaller than the ones reported by Tindale et al. [14] , because we use a different estimate of the growth rate r (0.04 for Singapore and 0.12 for 10 . CC-BY-NC-ND 4.0 International license It is made available under a author/funder, who has granted medRxiv a license to display the preprint in perpetuity.
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