Chinese social media reaction to the MERS-CoV and avian influenza A(H7N9) outbreaks

Infectious Diseases of Poverty

Volumn 2, Issue 1, 2013, Pages 1-12

  Fung, Isaac Chun Hai ^a   Fu, King Wa ^b   Ying, Yuchen ^c   Schaible, Braydon ^a   Hao, Yi ^a   Chan, Chung Hong ^b   Tse, Zion Tsz Ho ^d  

^a GEORGIA SOUTHERN UNIVERSITY   (United States)

^b UNIVERSITY OF HONG KONG   (Hong Kong)

^c The University of Georgia ^*  (United States)

^d University of Georgia   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; AVIAN INFLUENZA; CHINA; DISEASE SURVEILLANCE; HUMAN; INFECTION CONTROL; INFECTION RISK; ONLINE SYSTEM; PRIORITY JOURNAL; SOCIAL MEDIA; SOCIAL NETWORK;

EID: 84921418879     PISSN: None     EISSN: 20499957     Source Type: Journal    
DOI: 10.1186/2049-9957-2-31     Document Type: Article

References (45)

1. Salathe M, Bengtsson L, Bodnar TJ, Brewer DD, Brownstein JS, Buckee C, Campbell EM, Cattuto C, Khandelwal S, Mabry PL, et al. Digital epidemiology. PLoS Comput Biol 2012, 8(7):e1002616. 10.1371/journal.pcbi.1002616, 3406005, 22844241.
2. Eysenbach G. Infodemiology and infoveillance: framework for an emerging set of public health informatics methods to analyze search, communication and publication behavior on the Internet. J Med Internet Res 2009, 11(1):e11. 10.2196/jmir.1157, 2762766, 19329408.
3. Brownstein JS, Freifeld CC, Madoff LC. Digital disease detection-harnessing the Web for public health surveillance. N Engl J Med 2009, 360(21):2153-2155. 10.1056/NEJMp0900702, 2917042, 19423867.
4. Ginsberg J, Mohebbi MH, Patel RS, Brammer L, Smolinski MS, Brilliant L. Detecting influenza epidemics using search engine query data. Nature 2009, 457(7232):1012-1014. 10.1038/nature07634, 19020500.
5. Pelat C, Turbelin C, Bar-Hen A, Flahault A, Valleron A. More diseases tracked by using Google Trends. Emerg Infect Dis 2009, 15(8):1327-1328. 10.3201/eid1508.090299, 2815981, 19751610.
6. Polgreen PM, Chen Y, Pennock DM, Nelson FD. Using internet searches for influenza surveillance. Clin Infect Dis 2008, 47(11):1443-1448. 10.1086/593098, 18954267.
7. Yuan Q, Nsoesie EO, Lv B, Peng G, Chunara R, Brownstein JS. Monitoring influenza epidemics in china with search query from baidu. PloS One 2013, 8(5):e64323. 10.1371/journal.pone.0064323, 3667820, 23750192.
8. Brownstein JS, Freifeld CC. HealthMap: the development of automated real-time internet surveillance for epidemic intelligence. Euro Surveill 2007, 12(11):E071129-E071125.
9. Chunara R, Andrews JR, Brownstein JS. Social and news media enable estimation of epidemiological patterns early in the 2010 Haitian cholera outbreak. Am J Trop Med Hyg 2012, 86(1):39-45. 10.4269/ajtmh.2012.11-0597, 3247107, 22232449.
10. Kim EK, Seok JH, Oh JS, Lee HW, Kim KH. Use of hangeul twitter to track and predict human influenza infection. PloS One 2013, 8(7):e69305. 10.1371/journal.pone.0069305, 3722273, 23894447.
11. Signorini A, Segre AM, Polgreen PM. The use of Twitter to track levels of disease activity and public concern in the U.S. during the influenza A H1N1 pandemic. PLoS One 2011, 6(5):e19467. 10.1371/journal.pone.0019467, 3087759, 21573238.
12. Chew C, Eysenbach G. Pandemics in the age of Twitter: content analysis of Tweets during the 2009 H1N1 outbreak. PloS One 2010, 5(11):e14118. 10.1371/journal.pone.0014118, 2993925, 21124761.
13. Salathe M, Khandelwal S. Assessing vaccination sentiments with online social media: implications for infectious disease dynamics and control. PLoS Comput Biol 2011, 7(10):e1002199. 10.1371/journal.pcbi.1002199, 3192813, 22022249.
14. Lamb A, Paul MJ, Dredze M. Separating fact from fear: tracking flu infections on Twitter. North American Chapter of the Association for Computational Linguistics (NAACL) 2013, Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. N13-1097.
15. Salathe M, Freifeld CC, Mekaru SR, Tomasulo AF, Brownstein JS. Influenza A (H7N9) and the importance of digital epidemiology. N Engl J Med 2013, 369(5):401-404. 10.1056/NEJMp1307752, 23822655.
16. Fu KW, Chan CH, Chau M. Assessing censorship on microblogs in China: discriminatory keyword analysis and the real-name registration policy. Internet Computing, IEEE 2013, 17(3):42-50.
17. Qu Y, Huang C, Zhang P, Zhang J. Microblogging after a major disaster in China: A case study of the 2010 Yushu earthquake. CSCW 2011: March 19-23, 2011 2011; Hangzhou 2011, 25-34. China: ACM.
18. Richburg KB. In China, microblogging sites become free-speech platform 2011, Washington, D.C: The Washington Post.
19. Mozur P. How many people really use Sina Weibo? 2013, Wall Street Journal China: Beijing.
20. Novel coronavirus infection in the United Kingdom. http://www.who.int/csr/don/2012_09_23/en/index.html.
21. Centers for Disease Control and Prevention Emergence of avian influenza A(H7N9) virus causing severe human illness - China, February-April 2013. MMWR Morb Mortal Wkly Rep 2013, 62:366-371. Centers for Disease Control and Prevention.
22. 3 confirmed cases of human infections of H7N9 avian influenza in Shanghai and Anhui - Press release [in Chinese]. http://www.moh.gov.cn/mohwsyjbgs/s3578/201303/44f25bd6bed14cf082512d8b6258fb3d.shtml.
23. Fu KW, Chau M. Reality check for the Chinese microblog space: a random sampling approach. PloS One 2013, 8(3):e58356. 10.1371/journal.pone.0058356, 3592789, 23520502.
24. Yu L, Asur S, Huberman BA. Artificial inflation: the real story of trends and trend-setters in Sina Weibo. Privacy, Security, Risk and Trust (PASSAT), 2012 International Conference on Social Computing (SocialCom) 2012, 514-519. Amsterdam.
25. WeiboHealth. http://weibohealth.uga.edu/.
26. Virus from Shenzhen avian influenza death case similar to wild bird viral gene. http://news.xinhuanet.com/local/2012-01/02/c_111357599.htm.
27. The probability of SARS has been eliminated for the febrile patients hospitalized in Hospital 252, Baoding, Hebei [in Chinese]. http://china.cnr.cn/ygxw/201202/t20120226_509208073.shtml.
28. Beijing: Had the experience of SARS; would not conceal the death and injury toll anymore [in Chinese]. http://china.dwnews.com/news/2012-07-24/58790151.html.
29. News 1+1. http://news.sina.com.cn/c/sd/2013-01-30/225726162313.shtml.
30. Google Trends. http://www.google.com/trends/explore.
31. Kasperson JX, Kasperson RE, Pidgeon N, Slovic P. The social amplification of risk: assessing fifteen years of research and theory. The social amplification of risk 2003, 13-46. Cambridge: Cambridge University Press, Pidgeon NF, Kasperson RE, Slovic P.
32. Lowrey W, Evans W, Gower KK, Robinson JA, Ginter PM, McCormick LC, Abdolrasulnia M. Effective media communication of disasters: pressing problems and recommendations. BMC Public Health 2007, 7:97. 10.1186/1471-2458-7-97, 1894967, 17553153.
33. World Health Organization Effective Media Communication during Public Health Emergencies 2005, Geneva: World Health Organization, World Health Organization.
34. White JD, Fu KW. Who do you trust? Comparing people-centered communications in disaster situations in the United States and China. Journal of Comparative Policy Analysis: Research and Practice 2012, 14(2):126-142.
35. Leung GM, Nicoll A. Reflections on pandemic (H1N1) 2009 and the international response. PLoS Medicine 2010, 7(10):e1000346. 10.1371/journal.pmed.1000346, 2950129, 20957189.
36. Fu KW, Zhou L, Zhang Q, Chan YY, Burkhart F. Newspaper coverage of emergency response and government responsibility in domestic natural disasters: China-US and within-China comparisons. Health, Risk & Society 2012, 14(1):71-85.
37. Veil SR, Buehner T, Palenchar MJ. A work-in-process literature review: incorporating social media in risk and crisis communication. Journal of Contingencies and Crisis Management 2011, 19(2):110-122.
38. Fung IC-H, Wong KK. Efficient use of social media during the avian influenza A(H7N9) emergency response. Western Pacific Surveillance and Response Journal 2013, 4(4). doi:10.5365/wpsar.2013.4.3.005.
39. Eysenbach G. Infodemiology: the epidemiology of (mis)information. Am J Med 2002, 113(9):763-765. 10.1016/S0002-9343(02)01473-0, 12517369.
40. Kwak H, Lee C, Park H, Moon S. What is Twitter, a social network or a news media?. Proceedings of the 19th international conference on World wide web 2010, 591-600. Raleigh, North Carolina, USA: ACM.
41. White J, Fu KW, Benson B. Social Media: an Ill-defined Phenomenon. Online Communities and Social Computing 2013, 422-431. Heidelberg Dordrecht London NewYork: Springer, Ozok AA, Zaphiris P.
42. Chen Z, Liu P, Wang X, Gu Y. Follow whom? Chinese users have different choice. arXiv preprint arXiv:12120167 2012
43. Fu KW, Cheng Q, Wong PWC, Yip PSF. Responses to a self-presented suicide attempt in social media. Crisis: The Journal of Crisis Intervention and Suicide Prevention 2013, 34(6):406-412.
44. Blei DM. Probabilistic topic models. Communications of the ACM 2012, 55(4):77-84.
45. Saudi boy experienced acute disease in Hong Kong; suspected case of novel coronavirus [in Chinese]. http://health.sohu.com/20121008/n354411304.shtml.