Published on in Vol 13, No 2 (2011): Apr-Jun

Natural Supplements for H1N1 Influenza: Retrospective Observational Infodemiology Study of Information and Search Activity on the Internet

Natural Supplements for H1N1 Influenza: Retrospective Observational Infodemiology Study of Information and Search Activity on the Internet

Natural Supplements for H1N1 Influenza: Retrospective Observational Infodemiology Study of Information and Search Activity on the Internet

Journals

  1. Kalichman S, Kegler C. Vaccine-Related Internet Search Activity Predicts H1N1 and HPV Vaccine Coverage: Implications for Vaccine Acceptance. Journal of Health Communication 2015;20(3):259 View
  2. Mavragani A. Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206 View
  3. Kagashe I, Yan Z, Suheryani I. Enhancing Seasonal Influenza Surveillance: Topic Analysis of Widely Used Medicinal Drugs Using Twitter Data. Journal of Medical Internet Research 2017;19(9):e315 View
  4. Yom-Tov E, Gabrilovich E. Postmarket Drug Surveillance Without Trial Costs: Discovery of Adverse Drug Reactions Through Large-Scale Analysis of Web Search Queries. Journal of Medical Internet Research 2013;15(6):e124 View
  5. Liang B, Scammon D. Incidence of Online Health Information Search: A Useful Proxy for Public Health Risk Perception. Journal of Medical Internet Research 2013;15(6):e114 View
  6. 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
  7. Zeraatkar K, Ahmadi M. Trends of infodemiology studies: a scoping review. Health Information & Libraries Journal 2018;35(2):91 View
  8. 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
  9. Hill S, Merchant R, Ungar L. Lessons Learned About Public Health from Online Crowd Surveillance. Big Data 2013;1(3):160 View
  10. Vaughan Sarrazin M, Cram P, Mazur A, Ward M, Reisinger H. Patient Perspectives of Dabigatran: Analysis of Online Discussion Forums. The Patient - Patient-Centered Outcomes Research 2014;7(1):47 View
  11. Wong P, Fu K, Yau R, Ma H, Law Y, Chang S, Yip P. Accessing Suicide-Related Information on the Internet: A Retrospective Observational Study of Search Behavior. Journal of Medical Internet Research 2013;15(1):e3 View
  12. Troumbis A, Hatziantoniou M, Vasios G. Nutritional Culturomics and Big Data: Macroscopic Patterns of Change in Food, Nutrition and Diet Choices. Current Pharmaceutical Biotechnology 2019;20(10):895 View
  13. 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
  14. Nuti S, Wayda B, Ranasinghe I, Wang S, Dreyer R, Chen S, Murugiah K, Voracek M. The Use of Google Trends in Health Care Research: A Systematic Review. PLoS ONE 2014;9(10):e109583 View
  15. Alvarez-Galvez J, Suarez-Lledo V, Rojas-Garcia A. Determinants of Infodemics During Disease Outbreaks: A Systematic Review. Frontiers in Public Health 2021;9 View
  16. Kristensen K, Lorenz E, May J, Strauss R. Exploring the use of web searches for risk communication during COVID-19 in Germany. Scientific Reports 2021;11(1) View
  17. Acharya B, Chowdhury B, Pattnaik G, Behera A, Behera S. Food Safety during Pregnancy: Current Consideration. International Journal of Pharmaceutical Sciences and Nanotechnology(IJPSN) 2023;16(1):6362 View
  18. Hu F, Qiu L, Xia W, Liu C, Xi X, Zhao S, Yu J, Wei S, Hu X, Su N, Hu T, Zhou H, Jin Z. Spatiotemporal evolution of online attention to vaccines since 2011: An empirical study in China. Frontiers in Public Health 2022;10 View
  19. Widyasari V, Putra K, Wang J. Community Curiosity on COVID-19 Based on Google Trends in Indonesia: An Infodemic Study. Journal of Consumer Health on the Internet 2022;26(1):48 View
  20. Yang L, Zhang T, Han X, Yang J, Sun Y, Ma L, Chen J, Li Y, Lai S, Li W, Feng L, Yang W. Influenza Epidemic Trend Surveillance and Prediction Based on Search Engine Data: Deep Learning Model Study. Journal of Medical Internet Research 2023;25:e45085 View

Books/Policy Documents

  1. Sarkar I. Evidence-Based Validation of Herbal Medicine. View
  2. Samaras L, García-Barriocanal E, Sicilia M. Innovation in Health Informatics. View