Table 1.
Data source | Date range | Keywordsa | Tweets b(N = 2 598 033) |
---|---|---|---|
Present study | January 2016 to April 2018 | cervarix, gardasil, hpv, human papillomavirus | 2 238 433 (86.16) |
Dunn et al11 | January 2014 to December 2016 | gardasil, cervarix, hpv + vaccin∗, cervical + vaccin∗ | 423 594 (16.30) |
Du et at15 | November 2015 to March 2016 | cervarix, gardasil, hpv, human papillomavirus | 184 468 (7.10) |
a“hpv + vaccin∗” means a tweet has to contain both hpv and a word starts with vaccin.
bNote that there are overlaps across the 3 datasets. The percentage indicates the amount of tweets of each dataset over the total number of unique tweets combined.