Author: Zhang, Chi; Wang, Mei
Title: Origin time and epidemic dynamics of the 2019 novel coronavirus Cord-id: t1iagum7 Document date: 2020_1_27
ID: t1iagum7
Snippet: The 2019 novel coronavirus (2019-nCoV) have emerged from Wuhan, China. Studying the epidemic dynamics is crucial for further surveillance and control of the outbreak. We employed a Bayesian framework to infer the time-calibrated phylogeny and the epidemic dynamics represented by the effective reproductive number (Re) changing over time from the genomic sequences available from GISAID. The origin time is estimated to be December 17, 2019 (95% CI: December 5, 2019 – December 23, 2019). The media
Document: The 2019 novel coronavirus (2019-nCoV) have emerged from Wuhan, China. Studying the epidemic dynamics is crucial for further surveillance and control of the outbreak. We employed a Bayesian framework to infer the time-calibrated phylogeny and the epidemic dynamics represented by the effective reproductive number (Re) changing over time from the genomic sequences available from GISAID. The origin time is estimated to be December 17, 2019 (95% CI: December 5, 2019 – December 23, 2019). The median estimate of Re ranges from 0.2 to 2.2 and changes drastically over time. This study provides an early insight of the 2019-nCoV epidemic.
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