Pandemics in the Age of Twitter: Content Analysis of Tweets during the 2009 H1N1 Outbreak

被引:966
作者
Chew, Cynthia [1 ,2 ]
Eysenbach, Gunther [1 ,2 ]
机构
[1] Univ Hlth Network, Ctr Global eHlth Innovat, Toronto, ON, Canada
[2] Univ Toronto, Dept Hlth Policy Management & Evaluat, Fac Med, Toronto, ON M5S 1A1, Canada
基金
加拿大健康研究院;
关键词
RISK;
D O I
10.1371/journal.pone.0014118
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Background: Surveys are popular methods to measure public perceptions in emergencies but can be costly and time consuming. We suggest and evaluate a complementary "infoveillance" approach using Twitter during the 2009 H1N1 pandemic. Our study aimed to: 1) monitor the use of the terms "H1N1" versus "swine flu" over time; 2) conduct a content analysis of "tweets"; and 3) validate Twitter as a real-time content, sentiment, and public attention trend-tracking tool. Methodology/Principal Findings: Between May 1 and December 31, 2009, we archived over 2 million Twitter posts containing keywords "swine flu," "swineflu," and/or "H1N1." using Infovigil, an infoveillance system. Tweets using "H1N1" increased from 8.8% to 40.5% (R-2 =.788; p<.001), indicating a gradual adoption of World Health Organization-recommended terminology. 5,395 tweets were randomly selected from 9 days, 4 weeks apart and coded using a tri-axial coding scheme. To track tweet content and to test the feasibility of automated coding, we created database queries for keywords and correlated these results with manual coding. Content analysis indicated resource-related posts were most commonly shared (52.6%). 4.5% of cases were identified as misinformation. News websites were the most popular sources (23.2%), while government and health agencies were linked only 1.5% of the time. 7/10 automated queries correlated with manual coding. Several Twitter activity peaks coincided with major news stories. Our results correlated well with H1N1 incidence data. Conclusions: This study illustrates the potential of using social media to conduct "infodemiology" studies for public health. 2009 H1N1-related tweets were primarily used to disseminate information from credible sources, but were also a source of opinions and experiences. Tweets can be used for real-time content analysis and knowledge translation research, allowing health authorities to respond to public concerns.
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页数:13
相关论文
共 37 条
[1]  
ADAMS M, 2009, 10 SWIN FLU LIES TOL
[2]  
*AG AUT, 2009, CBS REP PAR CONC H1N
[3]  
[Anonymous], SWINE FLU CREATES CO
[4]  
[Anonymous], 2009, INS TWITT IN DEPTH L
[5]  
[Anonymous], BRIT MED J, DOI DOI 10.1136/bmj.b4164
[6]  
[Anonymous], 2009, WORLD NOW START 2009
[7]   Awareness, attitudes, and practices related to the swine influenza pandemic among the Saudi public [J].
Balkhy, Hanan H. ;
Abolfotouh, Mostafa A. ;
Al-Hathlool, Rawabi H. ;
Al-Jumah, Mohammad A. .
BMC INFECTIOUS DISEASES, 2010, 10
[8]   Using opinion surveys to track the public's response to a bioterrorist attack [J].
Blendon, RJ ;
Benson, JM ;
Desroches, CM ;
Weldon, KJ .
JOURNAL OF HEALTH COMMUNICATION, 2003, 8 :83-92
[9]  
*CBC, 2009, H POTT ACT REC SWIN
[10]  
Centers for Disease Control and Prevention, 2010, UPD CDC EST 2009 H1N