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Citing this Article

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Published on 17.01.14 in Vol 16, No 1 (2014): January

This paper is in the following e-collection/theme issue:

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

Hua Gu, Bin Chen, Honghong Zhu, Tao Jiang, Xinyi Wang, Lei Chen, Zhenggang Jiang, Dawei Zheng, Jianmin Jiang

J Med Internet Res 2014 (Jan 17); 16(1):e20 

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.2911):

(note that this is only a small subset of citations)

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  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
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  4. Nagar R, Yuan Q, Freifeld CC, Santillana M, Nojima A, Chunara R, Brownstein JS. 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
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  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
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  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
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  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
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  10. . Toward Area‐Smart Data Science: Critical Questions for Working With Big Data From China. Policy & Internet 2018;10(4):393
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  11. Ngai CSB, Singh RG, Lu W, Koon AC. 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
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  12. Woo H, Sung Cho H, Shim E, Lee JK, 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
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  13. Yuan J, Liao Q, Xie CJ, Ma XW, Cai WF, Liu YH, Liu YF, Su WZ, Ma Y, Yang ZC, Fielding R, Wang M, Lau EH. 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
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  14. Hagg E, Dahinten VS, Currie LM. 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
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  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
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  16. Barros JM, 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
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  17. Xie T, Tan T, Li J.

    An Extensive Search Trends-Based Analysis of Public Attention on Social Media in the Early Outbreak of COVID-19 in China

    . Risk Management and Healthcare Policy 2020;Volume 13:1353
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  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
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  19. Tao Z, Chu G, McGrath C, Hua F, Leung YY, 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
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  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
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  21. Johnson AK, Mikati T, Mehta SD. Examining the themes of STD-related Internet searches to increase specificity of disease forecasting using Internet search terms. Scientific Reports 2016;6(1)
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  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
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  23. . Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206
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  24. Lin J, Chen YT, Xia J, Yang Q. MiR674 inhibits the neuraminidase-stimulated immune response on dendritic cells via down-regulated Mbnl3. Oncotarget 2016;7(31):48978
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  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
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  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
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  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
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  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
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  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
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  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
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  31. Begum MM, Ulvi O, Karamehic-Muratovic A, Walsh MR, Tarek H, Lubinda J, Rodriguez-Morales AJ, Sarfraz S, Treviño C JA, Shad MY, Haque U. Quantifying Media Effects, Its Content, and Role in Promoting Community Awareness of Chikungunya Epidemic in Bangladesh. Epidemiologia 2021;2(1):84
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  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
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  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
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  34. Salehinejad S, Jangipour Afshar P, Borhaninejad V. Rumor surveillance methods in outbreaks: A systematic literature review. Health Promotion Perspectives 2021;11(1):12
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  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
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  36. Tran HTT, Lu S, Tran HTT, Nguyen BV. Social Media Insights During the COVID-19 Pandemic: Infodemiology Study Using Big Data. JMIR Medical Informatics 2021;9(7):e27116
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  37. Jiao J, Suarez GP, Fefferman NH, 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
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  38. Gunasekeran DV, Chew A, Chandrasekar EK, Rajendram P, Kandarpa V, Rajendram M, Chia A, Smith H, Leong CK. 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
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  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
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  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
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  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
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  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
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  43. Pourkarim M, Nayebzadeh S, Alavian SM, Hataminasab SH. Digital Marketing: A Unique Multidisciplinary Approach towards the Elimination of Viral Hepatitis. Pathogens 2022;11(6):626
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  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
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  45. Li LLC, Wong AYL, Kawchuk GN. An exploratory study to understand how people use Twitter to share experiences or information about spinal stenosis. Chiropractic & Manual Therapies 2022;30(1)
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  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
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  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
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  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
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  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
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  50. Azevedo D, Plácido AI, Herdeiro MT, 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
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  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
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  52. Dunn AG, Purnat TD, 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)
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According to Crossref, the following books are citing this article (DOI 10.2196/jmir.2911):

  1. Shin EK, Shaban-Nejad A. Public Health Intelligence and the Internet. 2017. Chapter 1:1
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  2. Laaksonen C, Jalonen H, Paavola J. Safe and Secure Cities. 2014. Chapter 11:100
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  3. Lee B, Jeong H, Shin EK. Explainable AI in Healthcare and Medicine. 2021. Chapter 17:187
    CrossRef
  4. Oliver G, Jeurgens C, Lian Z, Haraldsdottir RK, Foscarini F, Wang N. Diversity, Divergence, Dialogue. 2021. Chapter 48:618
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  5. Melton CA, Bae J, Olusanya OA, Brenas JH, Shin EK, Shaban-Nejad A. Multimodal AI in Healthcare. 2023. Chapter 18:257
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  6. . Crisis Communication in China. 2022. :141
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