Id |
Subject |
Object |
Predicate |
Lexical cue |
T73 |
0-73 |
Sentence |
denotes |
Study Virus(location) Distribution Mean (days) 95th percentile (days) |
T74 |
74-108 |
Sentence |
denotes |
Estimate 95% CI Estimate 95% CI |
T75 |
109-169 |
Sentence |
denotes |
This study 2019-nCoV Weibull 6.4 5.6–7.7 10.3 8.6–14.1 |
T76 |
170-228 |
Sentence |
denotes |
This study 2019-nCoV Gamma 6.5 5.6–7.9 11.3 9.1–15.7 |
T77 |
229-291 |
Sentence |
denotes |
This study 2019-nCoV Lognormal 6.8 5.7–8.8 13.3 9.9–20.5 |
T78 |
292-351 |
Sentence |
denotes |
Donnelly, 2003 [14,15] SARS Gamma 3.8 3.0–4.9 9.45 NA |
T79 |
352-418 |
Sentence |
denotes |
Cowling, 2007 [16] SARS Lognormal 5.1 4.6–5.5 12.9 11.7–14.5 |
T80 |
419-481 |
Sentence |
denotes |
Lau, 2010 [17] SARS (Hong Kong) Lognormal 4.4 NA 12.4 NA |
T81 |
482-542 |
Sentence |
denotes |
Lau, 2010 [17] SARS (Beijing) Lognormal 5.7 NA 19.7 NA |
T82 |
543-602 |
Sentence |
denotes |
Lau, 2010 [17] SARS (Taiwan) Lognormal 6.9 NA 17.9 NA |
T83 |
603-669 |
Sentence |
denotes |
Lessler, 2009 [18] SARS Lognormal 4.8a 3.6–4.4 10.6 8.9–12.2 |
T84 |
670-736 |
Sentence |
denotes |
Assiri, 2013 [19] MERS Lognormal 6.0b 1.9–14.7 12.4 7.3–17.5 |
T85 |
737-800 |
Sentence |
denotes |
Cauchemez, 2014 [20] MERS Lognormal 5.5 3.6–10.2 10.2c NA |
T86 |
801-879 |
Sentence |
denotes |
Virlogeux, 2016 [21] MERS (South Korea) Gamma 6.9 6.3–7.5 12.7 11.5–14.4 |
T87 |
880-962 |
Sentence |
denotes |
Virlogeux, 2016 [21] MERS (Saudi Arabia) Lognormal 5.0 4.0–6.6 11.4 8.5–17.5 |