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

Information Demand (33) JMIR Theme Issue: COVID-19 Special Issue (2461) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1520) Information Seeking, Information Needs (481) COVID-19 Vaccination (155) Infoveillance and Social Listening (214)

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

Authors of this article:

Lawrence An1, 2 Author Orcid Image ;   Daniel M Russell3 Author Orcid Image ;   Rada Mihalcea4 Author Orcid Image ;   Elizabeth Bacon1 Author Orcid Image ;   Scott Huffman3 Author Orcid Image ;   Ken Resnicow1, 5 Author Orcid Image
Article Authors Cited by (23) Tweetations (8) Metrics

Journals

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  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
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  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
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  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
  21. Bhagavathula A, Daglis T, Chattu V. Temporal trends in online searches related to COVID-19 vaccine safety: A digital infodemiology study. Health Promotion Perspectives 2024;14(3):304 View
  22. Inoue S, Fuji K. How did internet information influence COVID-19 vaccination? The cyclical influence of the internet, beliefs, attitudes, and intentions toward vaccines from a three-wave longitudinal study. Technology in Society 2024:102776 View
  23. Taubert F, Meyer-Hoeven G, Schmid P, Gerdes P, Betsch C. Conspiracy narratives and vaccine hesitancy: a scoping review of prevalence, impact, and interventions. BMC Public Health 2024;24(1) View