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

Infodemiology and Infoveillance (1274) Public (e)Health, Digital Epidemiology and Public Health Informatics (641)

Published on in Vol 15, No 6 (2013): June

Incidence of Online Health Information Search: A Useful Proxy for Public Health Risk Perception

Incidence of Online Health Information Search: A Useful Proxy for Public Health Risk Perception

Incidence of Online Health Information Search: A Useful Proxy for Public Health Risk Perception

Authors of this article:

Bo Liang1 ;   Debra L Scammon1
Article Authors Cited by (23) Tweetations (32) Metrics

Journals

  1. Willson T, Shams A, Lospinoso J, Weitzel E, McMains K. Searching for Cedar. Otolaryngology–Head and Neck Surgery 2015;153(5):770 View
  2. Rådestad I, Sormunen T, Rudenhed L, Pettersson K. Sleeping patterns of Swedish women experiencing a stillbirth between 2000–2014 - an observational study. BMC Pregnancy and Childbirth 2016;16(1) View
  3. Koburger N, Mergl R, Rummel-Kluge C, Ibelshäuser A, Meise U, Postuvan V, Roskar S, Székely A, Ditta Tóth M, van der Feltz-Cornelis C, Hegerl U. Celebrity suicide on the railway network: Can one case trigger international effects?. Journal of Affective Disorders 2015;185:38 View
  4. Ashkanani H, Asery R, Bokubar F, AlAli N, Mubarak S, Buabbas A, Almajran A. Web-Based Health Information Seeking Among Students at Kuwait University: Cross-Sectional Survey Study. JMIR Formative Research 2019;3(4):e14327 View
  5. Seo D, Jo M, Sohn C, Shin S, Lee J, Yu M, Kim W, Lim K, Lee S. Cumulative Query Method for Influenza Surveillance Using Search Engine Data. Journal of Medical Internet Research 2014;16(12):e289 View
  6. Randle J, Nelder M, Sider D, Hohenadel K. Characterizing the health and information-seeking behaviours of Ontarians in response to the Zika virus outbreak. Canadian Journal of Public Health 2018;109(1):99 View
  7. Hanson C, Cannon B, Burton S, Giraud-Carrier C. An Exploration of Social Circles and Prescription Drug Abuse Through Twitter. Journal of Medical Internet Research 2013;15(9):e189 View
  8. Paguio J, Yao J, Dee E. Silver lining of COVID-19: Heightened global interest in pneumococcal and influenza vaccines, an infodemiology study. Vaccine 2020;38(34):5430 View
  9. Zeraatkar K, Ahmadi M. Trends of infodemiology studies: a scoping review. Health Information & Libraries Journal 2018;35(2):91 View
  10. Liang B, Wang Y, Tsou M. A “fitness” Theme May Mitigate Regional Prevalence of Overweight and Obesity: Evidence from Google Search and Tweets. Journal of Health Communication 2019;24(9):683 View
  11. Sharma V, Holmes J, Sarkar I. Identifying Complementary and Alternative Medicine Usage Information from Internet Resources. Methods of Information in Medicine 2016;55(04):322 View
  12. Gittins M, McNamee R, Holland F, Carter L. Accounting for reporting fatigue is required to accurately estimate incidence in voluntary reporting health schemes. Journal of Clinical Epidemiology 2017;81:77 View
  13. Albalawi Y, Sixsmith J. Agenda Setting for Health Promotion: Exploring an Adapted Model for the Social Media Era. JMIR Public Health and Surveillance 2015;1(2):e21 View
  14. Jiang S, Street R. Factors Influencing Communication with Doctors via the Internet: A Cross-Sectional Analysis of 2014 HINTS Survey. Health Communication 2017;32(2):180 View
  15. Kranzbühler A, Kleijnen M, Verlegh P, Teerling M. When Similarity Beats Expertise—Differential Effects of Patient and Expert Ratings on Physician Choice: Field and Experimental Study. Journal of Medical Internet Research 2019;21(6):e12454 View
  16. Savoia E, Lin L, Gamhewage G. A Conceptual Framework for the Evaluation of Emergency Risk Communications. American Journal of Public Health 2017;107(S2):S208 View
  17. Husnayain A, Shim E, Fuad A, Su E. Understanding the Community Risk Perceptions of the COVID-19 Outbreak in South Korea: Infodemiology Study. Journal of Medical Internet Research 2020;22(9):e19788 View
  18. Xu W, Murphy F, Xu X, Xing W. Dynamic communication and perception of cyber risk: Evidence from big data in media. Computers in Human Behavior 2021;122:106851 View
  19. Zhu H, Liu K. Capturing the Interplay between Risk Perception and Social Media Posting to Support Risk Response and Decision Making. International Journal of Environmental Research and Public Health 2021;18(10):5220 View
  20. Miller R, Doria-Anderson N, Shibanuma A, Sakamoto J, Yumino A, Jimba M. Evaluating Local Multilingual Health Care Information Environments on the Internet: A Pilot Study. International Journal of Environmental Research and Public Health 2021;18(13):6836 View
  21. Ming W, Huang F, Chen Q, Liang B, Jiao A, Liu T, Wu H, Akinwunmi B, Li J, Liu G, Zhang C, Huang J, Liu Q. Understanding Health Communication Through Google Trends and News Coverage for COVID-19: Multinational Study in Eight Countries. JMIR Public Health and Surveillance 2021;7(12):e26644 View
  22. Zhang C, Liao W, Ma Y, Liang C. Research on older people's health information search behavior based on risk perception in social networks—A case study in China during COVID-19. Frontiers in Public Health 2022;10 View

Books/Policy Documents

  1. Liang B, Wang Y. Empowering Human Dynamics Research with Social Media and Geospatial Data Analytics. View