| Id |
Subject |
Object |
Predicate |
Lexical cue |
| T1 |
0-176 |
DRI_Outcome |
denotes |
Preliminary estimation of the basic reproduction number of novel coronavirus (2019-nCoV) in China, from 2019 to 2020: A data-driven analysis in the early phase of the outbreak. |
| T2 |
177-375 |
DRI_Challenge |
denotes |
BACKGROUNDS: An ongoing outbreak of a novel coronavirus (2019-nCoV) pneumonia hit a major city of China, Wuhan, December 2019 and subsequently reached other provinces/regions of China and countries. |
| T3 |
376-482 |
DRI_Outcome |
denotes |
We present estimates of the basic reproduction number,R0, of 2019-nCoV in the early phase of the outbreak. |
| T4 |
483-712 |
DRI_Approach |
denotes |
METHODS: Accounting for the impact of the variations in disease reporting rate, we modelled the epidemic curve of 2019-nCoV cases time series, in mainland China from January 10 to January 24, 2020, through the exponential growth. |
| T5 |
713-913 |
DRI_Outcome |
denotes |
With the estimated intrinsic growth rate (γ), we estimated R0 by using the serial intervals (SI) of two other well-known coronavirus diseases, MERS and SARS, as approximations for the true unknown SI. |
| T6 |
1145-1229 |
DRI_Outcome |
denotes |
We demonstrated that changes in reporting rate substantially affect estimates of R0. |
| T7 |
1230-1341 |
DRI_Outcome |
denotes |
CONCLUSION: The mean estimate ofR0 for the 2019-nCoV ranges from 2.24 to 3.58, and significantly larger than 1. |
| T8 |
1342-1410 |
DRI_Outcome |
denotes |
Our findings indicate the potential of 2019-nCoV to cause outbreaks. |
