Early phylogenetic estimate of the effective reproduction number of SARS‐CoV‐2

To reconstruct the evolutionary dynamics of the 2019 novel‐coronavirus recently causing an outbreak in Wuhan, China, 52 SARS‐CoV‐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 (coalescen...

Full description

Saved in:
Bibliographic Details
Published inJournal of medical virology Vol. 92; no. 6; pp. 675 - 679
Main Authors Lai, Alessia, Bergna, Annalisa, Acciarri, Carla, Galli, Massimo, Zehender, Gianguglielmo
Format Journal Article
LanguageEnglish
Published United States Wiley Subscription Services, Inc 01.06.2020
John Wiley and Sons Inc
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:To reconstruct the evolutionary dynamics of the 2019 novel‐coronavirus recently causing an outbreak in Wuhan, China, 52 SARS‐CoV‐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 (coalescent‐based exponential growth and a birth‐death skyline method) indicated an estimated mean evolutionary rate of 7.8 × 10−4 subs/site/year (range, 1.1 × 10−4‐15 × 10−4) and a mean tMRCA of the tree root of 73 days. The estimated R value was 2.6 (range, 2.1‐5.1), 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. Highlights The aim of this study was to investigate the temporal origin, rate of viral evolution and population dynamics of SARS‐CoV‐2. The Bayesian approach used indicated a most probable origin of the epidemic between October and November 2019. The estimated effective reproductive number increased from 0.8 to 2.4 in December 2019 when the mean doubling time was about 4 days. This study proves the usefulness of phylogeny in supporting the surveillance of emerging new infections.
Bibliography:In memory of Li Wenliang, Carlo Urbani, and of all the doctors and health workers who endangered their lives in the fight against epidemics.
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ISSN:0146-6615
1096-9071
1096-9071
DOI:10.1002/jmv.25723