| Id |
Subject |
Object |
Predicate |
Lexical cue |
| T407 |
0-161 |
Sentence |
denotes |
Regarding the between-city transmission from Wuhan, we observe that the population flow better explains the contagion effect than geographic proximity (Table 4). |
| T408 |
162-302 |
Sentence |
denotes |
In the first sub-sample, one new case in Wuhan leads to more cases in other cities receiving more population flows from Wuhan within 1 week. |
| T409 |
303-609 |
Sentence |
denotes |
Interestingly, in the second sub-sample, population flow from Wuhan significantly decreases the transmission rate within 1 week, suggesting that people have been taking more cautious measures from high COVID-19 risk areas; however, more arrivals from Wuhan in the preceding second week can still be a risk. |
| T410 |
610-855 |
Sentence |
denotes |
A back of the envelope calculation indicates that one new case in Wuhan leads to 0.064 (0.050) more cases in the destination city per 10,000 travelers from Wuhan within 1 (2) week between January 19 and February 1 (February 2 and February 29)15. |
| T411 |
856-949 |
Sentence |
denotes |
Note that while the effect is statistically significant, it should be interpreted in context. |
| T412 |
950-1052 |
Sentence |
denotes |
It was estimated that 15,000,000 people would travel out of Wuhan during the Lunar New Year holiday16. |
| T413 |
1053-1148 |
Sentence |
denotes |
If all had gone to one city, this would have directly generated about 171 cases within 2 weeks. |
| T414 |
1149-1427 |
Sentence |
denotes |
The risk of infection is likely very low for most travelers except for few who have previous contacts with sources of infection, and person-specific history of past contacts may be an essential predictor for infection risk, in addition to the total number of population flows17. |
