2020 Preprint
MRCA time and epidemic dynamics of the 2019 novel coronavirus
Abstract: 11The 2019 novel coronavirus (2019-nCoV) have emerged from Wuhan, China. Studying the 12 epidemic dynamics is crucial for further surveillance and control of the outbreak. We employed 13 a Bayesian framework to infer the time-calibrated phylogeny and the epidemic dynamics 14 represented by the effective reproductive number (Re) changing over time from 33 genomic 15 sequences available from GISAID. The time of the most recent common ancestor (MRCA) 16
Search citation statements
Paper Sections
Select...
19
11
5
2
Citation Types
7
27
0
0
Year Published
2020
2022
Publication Types
Select...
22
12
1
Relationship
0
35
Authors
Journals
Cited by 35 publications
(34 citation statements)
References 16 publications
7
27
0
0
“…For all periods the effective reproduction numbers decrease in time. As new data were reported daily, we followed with subsequent analysis in near-real time with three periods as shown in Table 2 In contrast, a simple linearization of Re in time (Figure 3) back-estimated the original basic reproduction number R0 at about 2.4 to 2.5, agreeing well with other values recently reported Liu et al, 2020;Majumder & Mandl, 2020;Zhang & Wang, 2020a, 2020bZhao et al, 2020a). The discrepancy between these two estimates can be attributed a potential loss of virulence of the virus but most likely due to extreme measures to contain virus spread in China.…”
Section: Resultssupporting
confidence: 80%
“…For all periods the effective reproduction numbers decrease in time. As new data were reported daily, we followed with subsequent analysis in near-real time with three periods as shown in Table 2 In contrast, a simple linearization of Re in time (Figure 3) back-estimated the original basic reproduction number R0 at about 2.4 to 2.5, agreeing well with other values recently reported Liu et al, 2020;Majumder & Mandl, 2020;Zhang & Wang, 2020a, 2020bZhao et al, 2020a). The discrepancy between these two estimates can be attributed a potential loss of virulence of the virus but most likely due to extreme measures to contain virus spread in China.…”
Section: Resultssupporting
confidence: 80%
“…In contrast, a simple linearization of R e in time (Figure 3 ) back-estimated the original basic reproduction number R 0 at about 2.4 to 2.5, agreeing well with other values recently reported (Imai, Dorigatti, Cori, Riley, & Ferguson, 2020; Liu et al, 2020; Majumder & Mandl, 2020; Zhang & Wang, 2020a, 2020b; Zhao et al, 2020a). The discrepancy between these two estimates can be attributed a potential loss of virulence of the virus but most likely due to extreme measures to contain virus spread in China.…”
Section: Introductionsupporting
confidence: 90%
“…The probability that an exposed person turns into a confirmed infected patient (δ) was 0.079, which is similar to the reported literature [28]. The removal rate (γ ) was 0.001, and is consistent with the reported literature [17]. The death rate (γ 0 ) was 0.0009.…”
Section: Parameters Estimation and Forecastsupporting
confidence: 88%
“…The probability that an exposed person turns into a confirmed infected patient ( ) is 0.079, which is similar to the reported literature [21]. The removal rate ( ) is 0.001, and is consistent with the reported literature [14]. ; ; .…”
Section: Parameters Estimation and Forecastsupporting
confidence: 87%
