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. 2015 May 26;17(5):e128. doi: 10.2196/jmir.3863

Table 4.

Topics of coded measles-related tweets, retweets, other social media messages, and online newspaper articles.

Topic Tweets
n=136
Retweets
n=60
Other social media
n=464
Online newspapers
n=282
Total
N=942

n (%) 95% CI n (%) 95% CI n (%) 95% CI n (%) 95% CI n (%) 95% CI
Measles outbreak 56 (41.2) 33.1-49.6 14 (23) 14-35 95 (20.5) 17.0-24.3 150 (53.2) 47.3-59.0 315 (33.4) 30.5-36.5
Measles prevention 23 (16.9) 11.3-23.9 17 (28) 18-41 92 (19.8) 16.4-23.6 76 (27.0) 22.0-32.4 208 (22.1) 19.5-24.8
Perceived risk 13 (9.6) 5.4-15.4 3 (5) 1-13 90 (19.4) 16.0-23.2 14 (5.0) 2.9-8.0 120 (12.7) 10.7-15.0
Refusing vaccination because of religion 21 (15.4) 10.1-22.3 9 (15) 8-26 58 (12.5) 9.7-15.7 15 (5.3) 3.1-8.4 103 (10.9) 9.1-13.0
Other 16 (11.8) 7.1-18.0 7 (12) 5-22 50 (10.7) 8.2-13.8 3 (1.1) 0.3-2.9 76 (8.1) 6.5-9.9
Critical toward vaccination 3 (2.2) 0.6-5.9 4 (7) 2-15 49 (10.6) 8.0-13.6 16 (5.7) 3.4-8.9 72 (7.6) 6.1-9.5
Trust and role of institutions 4 (2.9) 0.9-6.9 6 (10) 4-20 30 (6.5) 4.5-9.0 8 (2.8) 1.3-5.3 48 (5.1) 3.8-6.6