Published on in Vol 16, No 1 (2014): January

Importance of Internet Surveillance in Public Health Emergency Control and Prevention: Evidence From a Digital Epidemiologic Study During Avian Influenza A H7N9 Outbreaks

Importance of Internet Surveillance in Public Health Emergency Control and Prevention: Evidence From a Digital Epidemiologic Study During Avian Influenza A H7N9 Outbreaks

Importance of Internet Surveillance in Public Health Emergency Control and Prevention: Evidence From a Digital Epidemiologic Study During Avian Influenza A H7N9 Outbreaks

Journals

  1. Li M, Shi Z, Li C, Yu L. Combining complement fixation and luminol chemiluminescence for ultrasensitive detection of avian influenza A rH7N9. The Analyst 2016;141(6):2061 View
  2. Chen B, Shao J, Liu K, Cai G, Jiang Z, Huang Y, Gu H, Jiang J. Does Eating Chicken Feet With Pickled Peppers Cause Avian Influenza? Observational Case Study on Chinese Social Media During the Avian Influenza A (H7N9) Outbreak. JMIR Public Health and Surveillance 2018;4(1):e32 View
  3. Liu K, Li L, Jiang T, Chen B, Jiang Z, Wang Z, Chen Y, Jiang J, Gu H. 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 2016;13(8):780 View
  4. Nagar R, Yuan Q, Freifeld C, Santillana M, Nojima A, Chunara R, Brownstein J. A Case Study of the New York City 2012-2013 Influenza Season With Daily Geocoded Twitter Data From Temporal and Spatiotemporal Perspectives. Journal of Medical Internet Research 2014;16(10):e236 View
  5. Taylor J, Pagliari C. Mining social media data: How are research sponsors and researchers addressing the ethical challenges?. Research Ethics 2018;14(2):1 View
  6. Zhao Y, Cheng S, Yu X, Xu H. Chinese Public's Attention to the COVID-19 Epidemic on Social Media: Observational Descriptive Study. Journal of Medical Internet Research 2020;22(5):e18825 View
  7. Yoo W, Choi D, Park K. The effects of SNS communication: How expressing and receiving information predict MERS-preventive behavioral intentions in South Korea. Computers in Human Behavior 2016;62:34 View
  8. Chen B, Zhang J, 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(15):1780 View
  9. Huang C, Xu X, Cai Y, Ge Q, Zeng G, Li X, Zhang W, Ji C, Yang L. Mining the Characteristics of COVID-19 Patients in China: Analysis of Social Media Posts. Journal of Medical Internet Research 2020;22(5):e19087 View
  10. Stockmann D. Toward Area‐Smart Data Science: Critical Questions for Working With Big Data From China. Policy & Internet 2018;10(4):393 View
  11. Ngai C, Singh R, Lu W, Koon A. Grappling With the COVID-19 Health Crisis: Content Analysis of Communication Strategies and Their Effects on Public Engagement on Social Media. Journal of Medical Internet Research 2020;22(8):e21360 View
  12. Woo H, Sung Cho H, Shim E, Lee J, Lee K, Song G, Cho Y. Identification of Keywords From Twitter and Web Blog Posts to Detect Influenza Epidemics in Korea. Disaster Medicine and Public Health Preparedness 2018;12(3):352 View
  13. Yuan J, Liao Q, Xie C, Ma X, Cai W, Liu Y, Liu Y, Su W, Ma Y, Yang Z, Fielding R, Wang M, Lau E. Attitudinal changes toward control measures in live poultry markets among the general public and live poultry traders, Guangzhou, China, January-February, 2014. American Journal of Infection Control 2014;42(12):1322 View
  14. Hagg E, Dahinten V, Currie L. The emerging use of social media for health-related purposes in low and middle-income countries: A scoping review. International Journal of Medical Informatics 2018;115:92 View
  15. Liu K, Huang S, Miao Z, Chen B, Jiang T, Cai G, Jiang Z, Chen Y, Wang Z, Gu H, Chai C, Jiang J. Identifying Potential Norovirus Epidemics in China via Internet Surveillance. Journal of Medical Internet Research 2017;19(8):e282 View
  16. Barros J, Duggan J, Rebholz-Schuhmann D. The Application of Internet-Based Sources for Public Health Surveillance (Infoveillance): Systematic Review. Journal of Medical Internet Research 2020;22(3):e13680 View
  17. Xie T, Tan T, Li J. <p>An Extensive Search Trends-Based Analysis of Public Attention on Social Media in the Early Outbreak of COVID-19 in China</p>. Risk Management and Healthcare Policy 2020;Volume 13:1353 View
  18. 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. International Journal of Infectious Diseases 2015;40:34 View
  19. Tao Z, Chu G, McGrath C, Hua F, Leung Y, Yang W, Su Y. Nature and Diffusion of COVID-19–related Oral Health Information on Chinese Social Media: Analysis of Tweets on Weibo. Journal of Medical Internet Research 2020;22(6):e19981 View
  20. Gong X, Han Y, Hou M, Guo R. Online Public Attention During the Early Days of the COVID-19 Pandemic: Infoveillance Study Based on Baidu Index. JMIR Public Health and Surveillance 2020;6(4):e23098 View
  21. Johnson A, Mikati T, Mehta S. Examining the themes of STD-related Internet searches to increase specificity of disease forecasting using Internet search terms. Scientific Reports 2016;6(1) View
  22. Qiu J, Xu L, Wang J, Gu W. Mutual influences between message volume and emotion intensity on emerging infectious diseases: An investigation with microblog data. Information & Management 2020;57(4):103217 View
  23. Mavragani A. Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206 View
  24. Lin J, Chen Y, Xia J, Yang Q. MiR674 inhibits the neuraminidase-stimulated immune response on dendritic cells via down-regulated Mbnl3. Oncotarget 2016;7(31):48978 View
  25. Huang Y, Xu S, Wang L, Zhao Y, Liu H, Yao D, Xu Y, Lv Q, Hao G, Xu Y, Wu Q. Knowledge, Attitudes, and Practices Regarding Zika: Paper- and Internet-Based Survey in Zhejiang, China. JMIR Public Health and Surveillance 2017;3(4):e81 View
  26. Zhang S, Pian W, Ma F, Ni Z, Liu Y. Characterizing the COVID-19 Infodemic on Chinese Social Media: Exploratory Study. JMIR Public Health and Surveillance 2021;7(2):e26090 View
  27. Jia P, Yang S. Early warning of epidemics: towards a national intelligent syndromic surveillance system (NISSS) in China. BMJ Global Health 2020;5(10):e002925 View
  28. Yang Y, Deng W, Zhang Y, Mao Z. Promoting Public Engagement during the COVID-19 Crisis: How Effective Is the Wuhan Local Government’s Information Release?. International Journal of Environmental Research and Public Health 2020;18(1):118 View
  29. Dong W, Tao J, Xia X, Ye L, Xu H, Jiang P, Liu Y. Public Emotions and Rumors Spread During the COVID-19 Epidemic in China: Web-Based Correlation Study. Journal of Medical Internet Research 2020;22(11):e21933 View
  30. Chen B, Chen X, Pan J, Liu K, Xie B, Wang W, Peng Y, Wang F, Li N, Jiang J. Dissemination and Refutation of Rumors During the COVID-19 Outbreak in China: Infodemiology Study. Journal of Medical Internet Research 2021;23(2):e22427 View
  31. Begum M, Ulvi O, Karamehic-Muratovic A, Walsh M, Tarek H, Lubinda J, Rodriguez-Morales A, Sarfraz S, Treviño C J, Shad M, Haque U. Quantifying Media Effects, Its Content, and Role in Promoting Community Awareness of Chikungunya Epidemic in Bangladesh. Epidemiologia 2021;2(1):84 View
  32. Gabarron E, Rivera-Romero O, Miron-Shatz T, Grainger R, Denecke K. Role of Participatory Health Informatics in Detecting and Managing Pandemics: Literature Review. Yearbook of Medical Informatics 2021;30(01):200 View
  33. Wang D, Qian Y. Echo Chamber Effect in Rumor Rebuttal Discussions About COVID-19 in China: Social Media Content and Network Analysis Study. Journal of Medical Internet Research 2021;23(3):e27009 View
  34. Salehinejad S, Jangipour Afshar P, Borhaninejad V. Rumor surveillance methods in outbreaks: A systematic literature review. Health Promotion Perspectives 2021;11(1):12 View
  35. Arghittu A, Dettori M, Dempsey E, Deiana G, Angelini C, Bechini A, Bertoni C, Boccalini S, Bonanni P, Cinquetti S, Chiesi F, Chironna M, Costantino C, Ferro A, Fiacchini D, Icardi G, Poscia A, Russo F, Siddu A, Spadea A, Sticchi L, Triassi M, Vitale F, Castiglia P. Health Communication in COVID-19 Era: Experiences from the Italian VaccinarSì Network Websites. International Journal of Environmental Research and Public Health 2021;18(11):5642 View
  36. Tran H, Lu S, Tran H, Nguyen B. Social Media Insights During the COVID-19 Pandemic: Infodemiology Study Using Big Data. JMIR Medical Informatics 2021;9(7):e27116 View
  37. Jiao J, Suarez G, Fefferman N, Perkins A. How public reaction to disease information across scales and the impacts of vector control methods influence disease prevalence and control efficacy. PLOS Computational Biology 2021;17(6):e1008762 View
  38. Gunasekeran D, Chew A, Chandrasekar E, Rajendram P, Kandarpa V, Rajendram M, Chia A, Smith H, Leong C. The Impact and Applications of Social Media Platforms for Public Health Responses Before and During the COVID-19 Pandemic: Systematic Literature Review. Journal of Medical Internet Research 2022;24(4):e33680 View
  39. Alsaadi B, Alahmadi D. Audience-Centered Approach for Health Communication over Social Media during Pandemic: Persona Template Based on Delphi Technique. International Journal of Human–Computer Interaction 2024;40(7):1545 View
  40. Cao G, Shen L, Evans R, Zhang Z, Bi Q, Huang W, Yao R, Zhang W. Analysis of social media data for public emotion on the Wuhan lockdown event during the COVID-19 pandemic. Computer Methods and Programs in Biomedicine 2021;212:106468 View
  41. Jin Y, Yan A, Sun T, Zheng P, An J. Microblog data analysis of emotional reactions to COVID-19 in China. Journal of Psychosomatic Research 2022;161:110976 View
  42. Li Z, Wang M, Zhong J, Ren Y. Improving the Communication and Credibility of Government Media in Response to Public Health Emergencies: Analysis of Tweets From the WeChat Official Accounts of 10 Chinese Health Commissioners. Frontiers in Public Health 2022;10 View
  43. Pourkarim M, Nayebzadeh S, Alavian S, Hataminasab S. Digital Marketing: A Unique Multidisciplinary Approach towards the Elimination of Viral Hepatitis. Pathogens 2022;11(6):626 View
  44. Liu X, Yu W, Yin Z, Rodewald L, Song Y, Zhang Z, Ye J, Li L, Cao L, Cao L. Vaccine events raising public concern and associated immunization program policy and practice changes, China, 2005–2021. Vaccine 2022;40(18):2561 View
  45. Li L, Wong A, Kawchuk G. An exploratory study to understand how people use Twitter to share experiences or information about spinal stenosis. Chiropractic & Manual Therapies 2022;30(1) View
  46. Xue B, Wu Y, Zheng X, Xue Y, Dong F, Xiao S, Yin M, Wang M, Liu Y, Zhang C. Effects of information sources on public preventive behaviors in health emergencies: Evidence from a digital epidemiologic study during the COVID-19 pandemic. Frontiers in Public Health 2022;10 View
  47. Lorenzoni V, Andreozzi G, Bazzani A, Casigliani V, Pirri S, Tavoschi L, Turchetti G. How Italy Tweeted about COVID-19: Detecting Reactions to the Pandemic from Social Media. International Journal of Environmental Research and Public Health 2022;19(13):7785 View
  48. Gong X, Hou M, Han Y, Liang H, Guo R. Application of the Internet Platform in Monitoring Chinese Public Attention to the Outbreak of COVID-19. Frontiers in Public Health 2022;9 View
  49. Jiang Q, Xue Y, Hu Y, Li Y. Public Social Media Discussions on Agricultural Product Safety Incidents: Chinese African Swine Fever Debate on Weibo. Frontiers in Psychology 2022;13 View
  50. Azevedo D, Plácido A, Herdeiro M, Roque F, Roque V. How Portuguese Health Entities Used Social Media to Face the Public Health Emergency during COVID-19 Disease. International Journal of Environmental Research and Public Health 2022;19(19):11942 View
  51. Kim H, Oh S. Everyday life information seeking in South Korea during the COVID-19 pandemic: daily topics of information needs in social Q&A. Online Information Review 2023;47(2):414 View
  52. Dunn A, Purnat T, Ishizumi A, Nguyen T, Briand S. Measuring the burden of infodemics with a research toolkit for connecting information exposure, trust, and health behaviours. Archives of Public Health 2023;81(1) View

Books/Policy Documents

  1. Shin E, Shaban-Nejad A. Public Health Intelligence and the Internet. View
  2. Laaksonen C, Jalonen H, Paavola J. Safe and Secure Cities. View
  3. Lee B, Jeong H, Shin E. Explainable AI in Healthcare and Medicine. View
  4. Oliver G, Jeurgens C, Lian Z, Haraldsdottir R, Foscarini F, Wang N. Diversity, Divergence, Dialogue. View
  5. Melton C, Bae J, Olusanya O, Brenas J, Shin E, Shaban-Nejad A. Multimodal AI in Healthcare. View
  6. . Crisis Communication in China. View