LitCovid-sentences  

PMC:7110798 / 677-1921 JSONTXT 10 Projects

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Id Subject Object Predicate Lexical cue
T9 0-11 Sentence denotes Backgrounds
T10 12-203 Sentence denotes An ongoing outbreak of a novel coronavirus (2019-nCoV) pneumonia hit a major city in China, Wuhan, December 2019 and subsequently reached other provinces/regions of China and other countries.
T11 204-311 Sentence denotes We present estimates of the basic reproduction number, R0, of 2019-nCoV in the early phase of the outbreak.
T12 313-320 Sentence denotes Methods
T13 321-541 Sentence denotes 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.
T14 542-742 Sentence 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.
T15 744-752 Sentence denotes Findings
T16 753-816 Sentence denotes The early outbreak data largely follows the exponential growth.
T17 817-871 Sentence denotes We estimated that the mean R0 ranges from 2.24 (95%CI:
T18 872-898 Sentence denotes 1.96–2.55) to 3.58 (95%CI:
T19 899-974 Sentence denotes 2.89–4.39) associated with 8-fold to 2-fold increase in the reporting rate.
T20 975-1059 Sentence denotes We demonstrated that changes in reporting rate substantially affect estimates of R0.
T21 1061-1071 Sentence denotes Conclusion
T22 1072-1175 Sentence denotes The mean estimate of R0 for the 2019-nCoV ranges from 2.24 to 3.58, and is significantly larger than 1.
T23 1176-1244 Sentence denotes Our findings indicate the potential of 2019-nCoV to cause outbreaks.