Published on in Vol 1, No 1 (2021): Jan-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/32127, first published .
Online Search Behavior Related to COVID-19 Vaccines: Infodemiology Study

Online Search Behavior Related to COVID-19 Vaccines: Infodemiology Study

Online Search Behavior Related to COVID-19 Vaccines: Infodemiology Study

Journals

  1. Ionescu T, Fetecau B, Giurgiuca A, Tudose C. Acceptance and Factors Influencing Acceptance of COVID-19 Vaccine in a Romanian Population. Journal of Personalized Medicine 2022;12(3):452 View
  2. DEMİRBAŞ M, KANTAŞ YILMAZ F. Covid-19 Pandemisinin Sosyal Medya Yansımaları: İçerik Analizi Çalışması. Sağlık ve Sosyal Refah Araştırmaları Dergisi 2022;4(2):218 View
  3. Deiner M, Kaur G, McLeod S, Schallhorn J, Chodosh J, Hwang D, Lietman T, Porco T. A Google Trends Approach to Identify Distinct Diurnal and Day-of-Week Web-Based Search Patterns Related to Conjunctivitis and Other Common Eye Conditions: Infodemiology Study. Journal of Medical Internet Research 2022;24(7):e27310 View
  4. Zhang C, Xu S, Li Z, Liu G, Dai D, Dong C. The Evolution and Disparities of Online Attitudes Toward COVID-19 Vaccines: Year-long Longitudinal and Cross-sectional Study. Journal of Medical Internet Research 2022;24(1):e32394 View
  5. Okunoye B, Ning S, Jemielniak D. Searching for HIV and AIDS Health Information in South Africa, 2004-2019: Analysis of Google and Wikipedia Search Trends. JMIR Formative Research 2022;6(3):e29819 View
  6. 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
  7. Cai O, Sousa-Pinto B. United States Influenza Search Patterns Since the Emergence of COVID-19: Infodemiology Study. JMIR Public Health and Surveillance 2022;8(3):e32364 View
  8. Ferawati K, Liew K, Aramaki E, Wakamiya S. Monitoring Mentions of COVID-19 Vaccine Side Effects on Japanese and Indonesian Twitter: Infodemiological Study. JMIR Infodemiology 2022;2(2):e39504 View
  9. Niu Q, Liu J, Zhao Z, Onishi M, Kawaguchi A, Bandara A, Harada K, Aoyama T, Nagai-Tanima M. Explanation of hand, foot, and mouth disease cases in Japan using Google Trends before and during the COVID-19: infodemiology study. BMC Infectious Diseases 2022;22(1) View
  10. Kłak A, Furmańczyk K, Nowicka P, Mańczak M, Barańska A, Religioni U, Siekierska A, Ambroziak M, Chłopek M. The Relationship between Searches for COVID-19 Vaccines and Dynamics of Vaccinated People in Poland: An Infodemiological Study. International Journal of Environmental Research and Public Health 2022;19(20):13275 View
  11. Kerr J, Schneider C, Freeman A, Marteau T, van der Linden S, Van Bavel J. Transparent communication of evidence does not undermine public trust in evidence. PNAS Nexus 2022;1(5) View
  12. Zhao S, Hu S, Zhou X, Song S, Wang Q, Zheng H, Zhang Y, Hou Z. The Prevalence, Features, Influencing Factors, and Solutions for COVID-19 Vaccine Misinformation: Systematic Review. JMIR Public Health and Surveillance 2023;9:e40201 View
  13. Shakhovskiy Т, Vyatkina N. Theoretical and methodological review of the modern drug market. Glavvrač (Chief Medical Officer) 2023;(8):30 View
  14. Aboalshamat K. Quality and readability of web-based information on dental caries in Arabic: an infodemiological study. BMC Oral Health 2023;23(1) View
  15. Chu A, Chong A, Lai N, Tiwari A, So M. Enhancing the Predictive Power of Google Trends Data Through Network Analysis: Infodemiology Study of COVID-19. JMIR Public Health and Surveillance 2023;9:e42446 View
  16. Ilic A, Haardoerfer R, Michel G, Escoffery C, Mertens A, Marchak J. Understanding caregivers' decision to vaccinate childhood cancer survivors against COVID‐19. Cancer Medicine 2023;12(23):21354 View
  17. Wang S, Kim S, Choi W, Lim H, Woo Y, Pae C, Bahk W. The Impact of COVID-19 on Psychiatric Health in the Korean Population. Clinical Psychopharmacology and Neuroscience 2023;21(3):410 View
  18. Daglis T, Tsagarakis K. A LinkedIn-based analysis of the U.S. dynamic adaptations in healthcare during the COVID-19 pandemic. Healthcare Analytics 2024;5:100291 View
  19. Hoffmann L, Bressem K, Cittadino J, Rueger C, Suwalski P, Meinel J, Funken S, Busch F. From Global Health to Global Warming: Tracing Climate Change Interest during the First Two Years of COVID-19 Using Google Trends Data from the United States. Environments 2023;10(12):221 View
  20. Aboalshamat K. Assessment of the Quality and Readability of Web-Based Arabic Health Information on Halitosis: Infodemiological Study. Journal of Medical Internet Research 2024;26:e54072 View