Author: Lai, Alessia; Bergna, Annalisa; Acciarri, Carla; Galli, Massimo; Zehender, Gianguglielmo
Title: Early phylogenetic estimate of the effective reproduction number of SARSâ€CoVâ€2 Cord-id: fw9jpkdq Document date: 2020_3_3
ID: fw9jpkdq
Snippet: To reconstruct the evolutionary dynamics of the 2019 novelâ€coronavirus recently causing an outbreak in Wuhan, China, 52 SARSâ€CoVâ€2 genomes available on 4 February 2020 at Global Initiative on Sharing All Influenza Data were analyzed. The two models used to estimate the reproduction number (coalescentâ€based exponential growth and a birthâ€death skyline method) indicated an estimated mean evolutionary rate of 7.8 × 10(−4) subs/site/year (range, 1.1 × 10(−4)â€15 × 10(−4)) and a m
Document: To reconstruct the evolutionary dynamics of the 2019 novelâ€coronavirus recently causing an outbreak in Wuhan, China, 52 SARSâ€CoVâ€2 genomes available on 4 February 2020 at Global Initiative on Sharing All Influenza Data were analyzed. The two models used to estimate the reproduction number (coalescentâ€based exponential growth and a birthâ€death skyline method) indicated an estimated mean evolutionary rate of 7.8 × 10(−4) subs/site/year (range, 1.1 × 10(−4)â€15 × 10(−4)) and a mean tMRCA of the tree root of 73 days. The estimated R value was 2.6 (range, 2.1â€5.1), and increased from 0.8 to 2.4 in December 2019. The estimated mean doubling time of the epidemic was between 3.6 and 4.1 days. This study proves the usefulness of phylogeny in supporting the surveillance of emerging new infections even as the epidemic is growing.
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