Chinese public attention to the outbreak of ebola in west africa: Evidence from the online big data platform

International Journal of Environmental Research and Public Health

Volumn 13, Issue 8, 2016, Pages

  Liu, Kui ^a   Li, Li ^a   Jiang, Tao ^a   Chen, Bin ^a   Jiang, Zhenggang ^a   Wang, Zhengting ^a   Chen, Yongdi ^a   Jiang, Jianmin ^a   Gu, Hua ^a  

^a ZHEJIANG PROVINCIAL CENTER FOR DISEASE CONTROL AND PREVENTION   (China)

Author keywords

Big Data; Ebola; Internet surveillance; Public attention

Indexed keywords

DATABASE; DISEASE TRANSMISSION; EBOLA VIRUS DISEASE; EPIDEMIC; HEALTH EDUCATION; INTERNET; PUBLIC ATTITUDE; PUBLIC HEALTH;

AFRICA; ARTICLE; CHINESE; CLUSTER ANALYSIS; CORRELATION ANALYSIS; CORRELATION COEFFICIENT; EBOLA HEMORRHAGIC FEVER; EPIDEMIC; HEALTH EDUCATION; HUMAN; INTERNET; PUBLIC REACTION; QUALITATIVE ANALYSIS; RISK FACTOR; SOCIAL BEHAVIOR; SPATIOTEMPORAL ANALYSIS; ATTENTION; CHINA; FACTUAL DATABASE; HEMORRHAGIC FEVER, EBOLA; INTERPERSONAL COMMUNICATION; PUBLIC OPINION; SOCIAL MEDIA;

CHINA; WEST AFRICA;

AFRICA, WESTERN; ATTENTION; CHINA; COMMUNICATION; DATABASES, FACTUAL; DISEASE OUTBREAKS; EPIDEMICS; HEMORRHAGIC FEVER, EBOLA; HUMANS; INTERNET; PUBLIC OPINION; SOCIAL MEDIA; SPATIO-TEMPORAL ANALYSIS;

EID: 84981555689     PISSN: 16617827     EISSN: 16604601     Source Type: Journal    
DOI: 10.3390/ijerph13080780     Document Type: Article

References (43)

1. Leroy, E.; Gonzalez, J. P.; Baize, S., Ebola and Marburg haemorrhagic fever viruses: Major scientific advances, but a relatively minor public health threat for Africa. Clin. Microbiol. Infect. 2011, 17, 964-976.
2. The Epidemiology of Ebola Hemorrhagic Fever in Zaire. 1976. Available online: http: //www.enivd.de/EBOLA/ebola-24.htm (accessed on 24 June 2015).
3. World Health Organization. Ebola haemorrhagic fever in Sudan, 1976. Bull. World Health Organ. 1978, 56, 247-270.
4. World Health Organization. WHO Statement on the Meeting of the International Health Regulations Emergency Committee regarding the 2014 Ebola Outbreak in West Africa 2014; World Health Organization: Geneva, Switzerland, 2014.
5. Centers for Disease Control and Prevention (CDC). Outbreaks Chronology: Ebola Hemorrhagic Fever 2014; Centers for Disease Control and Prevention: Atlanta, GA, USA, 2014.
6. Formenty, P.; Libama, F.; Epelboin, A.; Allarangar, Y.; Leroy, E.; Moudzeo, H.; Tarangonia, P.; Molamou, A.; Lenzi, M.; Ait-Ikhlef, K. et al. Outbreak of Ebola hemorrhagic fever in the Republic of the Congo, 2003: A new strategy? Med. Trop. (Mars) 2003, 63, 291-295.
7. Georges, A. J.; Leroy, E. M.; Renaut, A. A.; Benissan, C. T.; Nabias, R. J.; Ngoc, M. T.; Obiang, P. I.; Lepage, J. P.; Bertherat, E. J.; Bénoni, D. D. et al. Ebola hemorrhagic fever outbreaks in Gabon, 1994-1997: Epidemiologic and health control issues. J. Infect. Dis. 1999, 179 (Suppl. S1), S65–S75.
8. Heymann, D. L.; Weisfeld, J. S.; Webb, P. A.; Johnson, K. M.; Cairns, T.; Berquist, H., Ebola hemorrhagic fever: Tandala, Zaire, 1977-1978. J. Infect. Dis. 1980, 142, 372-376.
9. Khan, A. S.; Tshioko, F. K.; Heymann, D. L.; Le Guenno, B.; Nabeth, P.; Kerstiëns, B.; Fleerackers, Y.; Kilmarx, P. H.; Rodier, G. R.; Nkuku O. et al. The reemergence of Ebola hemorrhagic fever, Democratic Republic of the Congo, 1995. J. Infect. Dis. 1999, 179 (Suppl. S1), S76–S86.
10. Leroy, E. M.; Rouquet, P.; Formenty, P.; Souquiere, S.; Kilbourne, A.; Froment, J.-M.; Bermejo, M.; Smit, S.; Karesh, W.; Swanepoel, R. et al. Multiple Ebola virus transmission events and rapid decline of central African wildlife. Science 2004, 303, 387-390.
11. Nkoghe, D.; Kone, M. L.; Yada, A.; Leroy, E. A limited outbreak of Ebola haemorrhagic fever in Etoumbi, Republic of Congo, 2005. Trans. R. Soc. Trop. Med. Hyg. 2011, 105, 466-472.
12. Baize, S.; Pannetier, D.; Oestereich, L.; Rieger, T.; Koivogui, L.; Magassouba, N.; Soropogui, B.; Sow, M. S.; Keïta, S.; de Clerck, H. et al. Emergence of Zaire Ebola virus disease in Guinea. N. Engl. J. Med. 2014, 371, 1418-1425.
13. Goeijenbier, M.; van Kampen, J. J.; Reusken, C. B.; Koopmans, M. P.; van Gorp, E. C. Ebola virus disease: A review on epidemiology, symptoms, treatment and pathogenesis. Neth. J. Med. 2014, 72, 442-448.
14. Bah, E. I.; Lamah, M. C.; Fletcher, T.; Jacob, S. T.; Brett-Major, D. M.; Sall, A. A.; Shindo, N.; Fischer, W. A.; Lamontagne, F.; Saliou, S. M. et al. Clinical presentation of patients with Ebola virus disease in Conakry, Guinea. N. Engl. J. Med. 2015, 372, 40-47.
15. Barry, M.; Traore, F. A.; Sako, F. B.; Kpamy, D. O.; Bah, E. I.; Poncin, M.; Keit, S.; Cisse, M.; Touré, A., Ebola outbreak in Conakry, Guinea: Epidemiological, clinical, and outcome features. Med. Mal. Infect. 2014, 44, 491-494.
16. WHO Ebola Response Team. Ebola virus disease in West Africa—The first 9 months of the epidemic and forward projections. N. Engl. J. Med. 2014, 371, 1481-1495.
17. 34th Statistical Reports on Internet Development in China. Available online: http: //www.cnnic.cn/hlwfzyj/hlwxzbg/hlwtjbg/201407/P020140721507223212132.pdf (accessed on 24 June 2015).
18. Gu, H.; Chen, B.; Zhu, H.; Jiang, T.; Wang, X.; Chen, L.; Jiang, Z.; Zheng, D.; Jiang, J., Importance of Internet surveillance in public health emergency control and prevention: Evidence from a digital epidemiologic study during avian influenza A H7N9 outbreaks. J. Med. Internet Res. 2014, 16, e20.
19. Baidu Index. Available online: http: //index.baidu.com/ (accessed on 24 June 2015).
20. Chinese Internet Users Search Behavior Study. Available online: http: //www.cnnic.cn/hlwfzyj/hlwxzbg/201410/P020150104459023035664.pdf (accessed 24 June 2015).
21. Chew, C.; Eysenbach, G., Pandemics in the age of Twitter: content analysis of Tweets during the 2009 H1N1 outbreak. PLoS ONE 2010, 5, e14118.
22. Signorini, A.; Segre, A. M.; Polgreen, P. M. 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, e19467.
23. Kim, E.-K.; Seok, J. H.; Oh, J. S.; Lee, H. W.; Kim, K. H. Use of hangeul twitter to track and predict human influenza infection. PLoS ONE 2013, 8, e69305.
24. Charles-Smith, L. E.; Reynolds, T. L.; Cameron, M. A.; Conway, M.; Lau, E. H. Y.; Olsen, J. M.; Pavlin, J. A.; Shigematsu, M.; Streichert, L. C.; Suda, K. J. et al. Using social media to predict and track disease outbreaks. Environ. Health Perspect. 2012, 120, A30–A33.
25. Fung, I. C.; Fu, K. W.; Ying, Y.; Schaible, B.; Hao, Y.; Chan, C. H.; Tse, Z. T. Chinese social media reaction to the MERS-CoV and avian influenza A (H7N9) outbreaks. Infect. Dis. Poverty 2013, 2, 31.
26. Bernardo, T. M.; Rajic, A.; Young, I.; Robiadek, K.; Pham, M. T.; Funk, J. A. Scoping review on search queries and social media for disease surveillance: A chronology of innovation. J. Med. Internet Res. 2013, 15, e147.
27. Achrekar, H.; Gandhe, A.; Lazarus, R.; Yu, S.-H.; Liu, B., Predicting flu trends using twitter data. In Proceedings of the IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), Shanghai, China, 10-15 April 2011; pp. 702-707.
28. Gu, Y.; Chen, F.; Liu, T.; Lv, X.; Shao, Z.; Lin, H.; Liang, C.; Zeng, W.; Xiao, J.; Zhang, Y. et al. Early detection of an epidemic erythromelalgia outbreak using Baidu search data. Sci. Rep. 2015, 5, 12649.
29. Yuan, Q.; Nsoesie, E. O.; Lv, B.; Peng, G.; Chunara, R.; Brownstein, J. S. Monitoring influenza epidemics in China with search query from Baidu. PLoS ONE 2013, 8, e64323.
30. Sina Micro Index. Available online: http: //data.weibo.com/index (accessed on 24 June 2015).
31. 33rd Statistical Reports on Internet Development in China. Available online: http: //www.cnnic.cn/hlwfzyj/hlwxzbg/hlwtjbg/201403/P020140305346585959798.pdf (accessed on 24 June 2015).
32. Baidu News. Available online: //news.baidu.com/?tn=news (accessed on 24 June 2015).
33. Moran, P. A. Notes on continuous stochastic phenomena. Biometrika 1950, 37, 17-23.
34. Kulldorff, M. SaTScan User Guide for Version 9. 0; Department of Ambulatory Care and Prevention, Harvard Medical School: Boston, MA, USA, 2010.
35. Briand, S.; Bertherat, E.; Cox, P.; Formenty, P.; Kieny, M.-P.; Myhre, J. K.; Roth, C.; Shindo, N.; Dye, C., The international Ebola emergency. N. Engl. J. Med. 2014, 371, 1180-1183.
36. Dituhui. Available online: http: //www.dituhui.com/ (accessed on 24 June 2015).
37. Xie, T.; Yang, Z.; Yang, S.; Wu, N.; Li, L., Correlation between reported human infection with avian influenza A H7N9 virus and cyber user awareness: What can we learn from digital epidemiology? Int. J. Infect. Dis. 2014, 22, 1-3.
38. Chen, B.; Zhang, J. M.; Jiang, Z.; Shao, J.; Jiang, T.; Wang, Z.; Liu, K.; Tang, S.; Gu, H.; Jiang, J., Media and public reactions toward vaccination during the “hepatitis B vaccine crisis” in China. Vaccine 2015, 33, 1780-1785.
39. Liu, B.; Wang, Z.; Qi, X.; Zhang, X.; Chen, H. Assessing cyber-user awareness of an emerging infectious disease: Evidence from human infections with avian influenza A H7N9 in Zhejiang, China. Int. J. Infect. Dis. 2015, 40, 34-36.
40. White, L. F.; Pagano, M. A likelihood-based method for real-time estimation of the serial interval and reproductive number of an epidemic. Stat. Med. 2008, 27, 2999-3016.
41. Legrand, J.; Grais, R. F.; Boelle, P. Y.; Valleron, A. J.; Flahault, A., Understanding the dynamics of Ebola epidemics. Epidemiol. Infect. 2007, 135, 610-621.
42. Ferrari, M. J.; Bjornstad, O. N.; Dobson, A. P. Estimation and inference of R0 of an infectious pathogen by a removal method. Math. Biosci. 2005, 198, 14-26.
43. Camacho, A.; Kucharski, A. J.; Funk, S.; Breman, J.; Piot, P.; Edmunds, W. J. Potential for large outbreaks of Ebola virus disease. Epidemics 2014, 9, 70-78.