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

Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1050) Infodemiology and Infoveillance (1369) Infectious Diseases (non-STD/STI) (1592) Influenza and Influenza-Like-Illness (ILI) Surveillance (219) Mass Media/Social Media Communication and Campaigns (466)

Published on in Vol 4, No 1 (2018): Jan-Mar

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/8198, first published .
Does Eating Chicken Feet With Pickled Peppers Cause Avian Influenza? Observational Case Study on Chinese Social Media During the Avian Influenza A (H7N9) Outbreak

Does Eating Chicken Feet With Pickled Peppers Cause Avian Influenza? Observational Case Study on Chinese Social Media During the Avian Influenza A (H7N9) Outbreak

Does Eating Chicken Feet With Pickled Peppers Cause Avian Influenza? Observational Case Study on Chinese Social Media During the Avian Influenza A (H7N9) Outbreak

Authors of this article:

Bin Chen1 Author Orcid Image ;   Jian Shao2 Author Orcid Image ;   Kui Liu1 Author Orcid Image ;   Gaofeng Cai1 Author Orcid Image ;   Zhenggang Jiang1 Author Orcid Image ;   Yuru Huang3 Author Orcid Image ;   Hua Gu1 Author Orcid Image ;   Jianmin Jiang1 Author Orcid Image
Article Authors Cited by (15) Tweetations (7) Metrics

Journals

  1. Safarishahrbijari A, Osgood N. Social Media Surveillance for Outbreak Projection via Transmission Models: Longitudinal Observational Study. JMIR Public Health and Surveillance 2019;5(2):e11615 View
  2. Wang Y, McKee M, Torbica A, Stuckler D. Systematic Literature Review on the Spread of Health-related Misinformation on Social Media. Social Science & Medicine 2019;240:112552 View
  3. Smaldone F, Ippolito A, Ruberto M. The shadows know me: Exploring the dark side of social media in the healthcare field. European Management Journal 2020;38(1):19 View
  4. Gupta A, Katarya R. Social media based surveillance systems for healthcare using machine learning: A systematic review. Journal of Biomedical Informatics 2020;108:103500 View
  5. 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
  6. Mavragani A. Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206 View
  7. 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
  8. Jing F, Li Z, Qiao S, Zhang J, Olatosi B, Li X. Using geospatial social media data for infectious disease studies: a systematic review. International Journal of Digital Earth 2023;16(1):130 View
  9. Liu X, Alsghaier H, Tong L, Ataullah A, McRoy S. Visualizing the Interpretation of a Criteria-Driven System That Automatically Evaluates the Quality of Health News: Exploratory Study of 2 Approaches. JMIR AI 2022;1(1):e37751 View
  10. Wirtz V, Millán-Garduño G, Hegewisch-Taylor J, Dreser A, Anaya-Sanchez A, González-Vázquez T, Escalera R, Torres-Pereda P. Misinformation messages shared via WhatsApp in Mexico during the COVID-19 pandemic: an exploratory study. Health Promotion International 2023;38(3) View
  11. KESKİN B, GÜNEŞ E. The Effects of Information Pollution on Poultry Companies: The Case of Turkey. Tekirdağ Ziraat Fakültesi Dergisi 2023;20(2):387 View
  12. Gao Y, Wang Y, Ji M, Zhou N, Huang W. A whole-cell hydrogen peroxide biosensor and its application in visual food analysis. The Innovation Life 2023;1(1):100011 View
  13. Heydari H, Pordelan N, Hosseinian S, Safaei M, Khorrami M. Impact of online psychological services on academic achievement and COVID-19 fear in students with addicted parents. Emerging Trends in Drugs, Addictions, and Health 2024;4:100153 View
  14. Kumble S, Diddi P, Bien-Aimé S. Understanding content dissemination on sensemaking: WHO’s social listening strategy on X during the initial phase of COVID-19. Online Media and Global Communication 2024 View
  15. He Y, Liang J, Fu W, Liu Y, Yang F, Ding S, Lei J. Mapping Knowledge Landscapes and Emerging Trends for the Spread of Health-Related Misinformation During the COVID-19 on Chinese and English Social Media: A Comparative Bibliometric and Visualization Analysis. Journal of Multidisciplinary Healthcare 2024;Volume 17:6043 View