paper:novel_coronavirus_2019ncov
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paper:novel_coronavirus_2019ncov [2020/02/12 23:15] – 创建 mars.lau | paper:novel_coronavirus_2019ncov [2023/11/10 12:13] (当前版本) – 外部编辑 127.0.0.1 | ||
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==== 关键词 ==== | ==== 关键词 ==== | ||
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==== 摘要 ==== | ==== 摘要 ==== | ||
- | | + | Since first identified, the epidemic scale of the recently emerged novel coronavirus (2019-nCoV) in Wuhan, China, has increased rapidly, with cases arising across China and other countries and regions. using a transmission model, we estimate a basic reproductive number of 3.11 (95%CI, 2.39–4.13); |
==== 引用方式 ==== | ==== 引用方式 ==== | ||
- | Diallo, Boubacar, Aliyu Bagudu, and Qi Zhang. "A Machine Learning Approach to the Fama-French Three-and Five-Factor Models." | + | Jonathan M. Read, Jessica R.E. Bridgen, Derek A.T. Cummings, Antonia Ho, Chris P. Jewell. "Novel coronavirus 2019-nCoV: early estimation of epidemiological parameters |
==== 链接 ==== | ==== 链接 ==== |
paper/novel_coronavirus_2019ncov.1581520543.txt.gz · 最后更改: 2023/11/10 12:12 (外部编辑)