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Citing this Article

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Published on 02.05.18 in Vol 4, No 2 (2018): Apr-Jun

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

Works citing "Monitoring Interest in Herpes Zoster Vaccination: Analysis of Google Search Data"

According to Crossref, the following articles are citing this article (DOI 10.2196/10180):

(note that this is only a small subset of citations)

  1. Mavragani A, Ochoa G. Google Trends in Infodemiology and Infoveillance: Methodology Framework. JMIR Public Health and Surveillance 2019;5(2):e13439
    CrossRef
  2. . Google Medical Update: Why Is the Search Engine Decreasing Visibility of Health and Medical Information Websites?. International Journal of Environmental Research and Public Health 2020;17(4):1160
    CrossRef
  3. Soreni N, Cameron DH, Streiner DL, Rowa K, McCabe RE. Seasonality Patterns of Internet Searches on Mental Health: Exploratory Infodemiology Study. JMIR Mental Health 2019;6(4):e12974
    CrossRef
  4. Safarishahrbijari A, Osgood ND. Social Media Surveillance for Outbreak Projection via Transmission Models: Longitudinal Observational Study. JMIR Public Health and Surveillance 2019;5(2):e11615
    CrossRef
  5. . Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206
    CrossRef
  6. Ziakas PD, Mylonakis E. Web search popularity, publicity, and utilization of direct oral anticoagulants in the United States, 2008–2018. Medicine 2020;99(19):e20005
    CrossRef
  7. Deiner MS, McLeod SD, Wong J, Chodosh J, Lietman TM, Porco TC. Google Searches and Detection of Conjunctivitis Epidemics Worldwide. Ophthalmology 2019;126(9):1219
    CrossRef
  8. Lang P, Aspinall R. Vaccination for quality of life: herpes–zoster vaccines. Aging Clinical and Experimental Research 2021;33(4):1113
    CrossRef
  9. Zepecki A, Guendelman S, DeNero J, Prata N. Using Application Programming Interfaces to Access Google Data for Health Research: Protocol for a Methodological Framework. JMIR Research Protocols 2020;9(7):e16543
    CrossRef
  10. Mavragani A, Ochoa G. Infoveillance of infectious diseases in USA: STDs, tuberculosis, and hepatitis. Journal of Big Data 2018;5(1)
    CrossRef
  11. Patterson BJ, Buck PO, Curran D, Van Oorschot D, Carrico J, Herring WL, Zhang Y, Stoddard JJ. Estimated Public Health Impact of the Recombinant Zoster Vaccine. Mayo Clinic Proceedings: Innovations, Quality & Outcomes 2021;5(3):596
    CrossRef
  12. Deiner MS, Kaur G, McLeod SD, Schallhorn JM, Chodosh J, Hwang DH, Lietman TM, Porco TC. 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
    CrossRef
  13. Deiner MS, Seitzman GD, Kaur G, McLeod SD, Chodosh J, Lietman TM, Porco TC. Sustained Reductions in Online Search Interest for Communicable Eye and Other Conditions During the COVID-19 Pandemic: Infodemiology Study. JMIR Infodemiology 2022;2(1):e31732
    CrossRef
  14. Wang Q, Yang L, Li L, Liu C, Jin H, Lin L. Willingness to Vaccinate Against Herpes Zoster and Its Associated Factors Across WHO Regions: Global Systematic Review and Meta-Analysis. JMIR Public Health and Surveillance 2023;9:e43893
    CrossRef
  15. Wang Z, He J, Jin B, Zhang L, Han C, Wang M, Wang H, An S, Zhao M, Zhen Q, Tiejun S, Zhang X. Using Baidu Index Data to Improve Chickenpox Surveillance in Yunnan, China: Infodemiology Study. Journal of Medical Internet Research 2023;25:e44186
    CrossRef
  16. Ziakas PD, Mylonakis E, Lai Y. Public interest trends for Covid-19 and alignment with the disease trajectory: A time-series analysis of national-level data. PLOS Digital Health 2023;2(6):e0000271
    CrossRef
  17. Ziakas PD, Mylonakis E, Lai Y. Public interest trends for COVID-19 and pandemic trajectory: A time-series analysis of US state-level data. PLOS Digital Health 2024;3(3):e0000462
    CrossRef