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Citing this Article

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Published on 06.11.18 in Vol 20, No 11 (2018): November

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

Works citing "Assessing the Methods, Tools, and Statistical Approaches in Google Trends Research: Systematic Review"

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.9366):

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

  1. Mavragani A. Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206
    CrossRef
  2. Higgins TS, Wu AW, Sharma D, Illing EA, Rubel K, Ting JY. Correlations of Online Search Engine Trends With Coronavirus Disease (COVID-19) Incidence: Infodemiology Study. JMIR Public Health and Surveillance 2020;6(2):e19702
    CrossRef
  3. Mondal S, Mondal H. Online Pornography Seeking Behavior and Its Relation to Literacy Rate and Financial Status of Indian States. Journal of Psychosexual Health 2020;2(1):71
    CrossRef
  4. Jella TK, Samuel LT, Acuña AJ, Emara AK, Kamath AF. Rapid Decline in Online Search Queries for Hip and Knee Arthroplasties Concurrent With the COVID-19 Pandemic. The Journal of Arthroplasty 2020;
    CrossRef
  5. Lin R, Cheng Y, Jiang Y. Exploring Public Awareness of Overwork Prevention With Big Data From Google Trends: Retrospective Analysis. Journal of Medical Internet Research 2020;22(6):e18181
    CrossRef
  6. Modrego-Pardo I, Solá-Izquierdo E, Morillas-Ariño C. Tendencia de la población española de búsqueda en internet sobre información relacionada con diferentes dietas. Endocrinología, Diabetes y Nutrición 2020;67(7):431
    CrossRef
  7. Flanagan R, Kuo B, Staller K. Utilizing Google Trends to Assess Worldwide Interest in Irritable Bowel Syndrome and Commonly Associated Treatments. Digestive Diseases and Sciences 2020;
    CrossRef
  8. Rampally V, Mondal H, Mondal S. Global search trends on common vaccine-related information in English on the Internet. Journal of Family Medicine and Primary Care 2020;9(2):698
    CrossRef
  9. Pier MM, Pasick LJ, Benito DA, Alnouri G, Sataloff RT. Otolaryngology-related Google Search trends during the COVID-19 pandemic. American Journal of Otolaryngology 2020;41(6):102615
    CrossRef
  10. Strzelecki A, Azevedo A, Albuquerque A. Correlation between the Spread of COVID-19 and the Interest in Personal Protective Measures in Poland and Portugal. Healthcare 2020;8(3):203
    CrossRef
  11. Mavragani A. Tracking COVID-19 in Europe: Infodemiology Approach. JMIR Public Health and Surveillance 2020;6(2):e18941
    CrossRef
  12. Jardine E, Lindner AM. The Dark Web and cannabis use in the United States: Evidence from a big data research design. International Journal of Drug Policy 2020;76:102627
    CrossRef
  13. Sharma D, Sandelski MM, Ting J, Higgins TS. Correlations in Trends of Sinusitis-Related Online Google Search Queries in the United States. American Journal of Rhinology & Allergy 2020;34(4):482
    CrossRef
  14. Ahmad I, Flanagan R, Staller K. Increased Internet Search Interest for GI Symptoms May Predict COVID-19 Cases in U.S. Hotspots. Clinical Gastroenterology and Hepatology 2020;
    CrossRef
  15. Strzelecki A. 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
  16. Ganasegeran K, Ch’ng ASH, Aziz ZA, Looi I. Population’s health information-seeking behaviors and geographic variations of stroke in Malaysia: an ecological correlation and time series study. Scientific Reports 2020;10(1)
    CrossRef
  17. Weitzman ER, Magane KM, Chen P, Amiri H, Naimi TS, Wisk LE. Online Searching and Social Media to Detect Alcohol Use Risk at Population Scale. American Journal of Preventive Medicine 2020;58(1):79
    CrossRef
  18. Walker MD, Sulyok M. Online behavioural patterns for Coronavirus disease 2019 (COVID-19) in the United Kingdom. Epidemiology and Infection 2020;148
    CrossRef
  19. Lee EWJ, Yee AZH. Toward Data Sense-Making in Digital Health Communication Research: Why Theory Matters in the Age of Big Data. Frontiers in Communication 2020;5
    CrossRef
  20. Choi YI, Kim YJ, Chung J, Kim KO, Kim H, Park RW, Park DK. Effect of Age on the Initiation of Biologic Agent Therapy in Patients With Inflammatory Bowel Disease: Korean Common Data Model Cohort Study. JMIR Medical Informatics 2020;8(4):e15124
    CrossRef
  21. Kardeş S. Seasonal variation in the internet searches for psoriasis. Archives of Dermatological Research 2019;311(6):461
    CrossRef
  22. Ssendikaddiwa J, Lavergne R. Access to Primary Care and Internet Searches for Walk-In Clinics and Emergency Departments in Canada: Observational Study Using Google Trends and Population Health Survey Data. JMIR Public Health and Surveillance 2019;5(4):e13130
    CrossRef
  23. Mavragani A, Ochoa G. Google Trends in Infodemiology and Infoveillance: Methodology Framework. JMIR Public Health and Surveillance 2019;5(2):e13439
    CrossRef
  24. Lara Ródenas MJD. El voto vigilado. Influencia y control electoral en las hermandades de Huelva durante el Antiguo Régimen. Hispania Sacra 2019;71(144):521
    CrossRef
  25. Bragazzi NL, Mahroum N. Google Trends Predicts Present and Future Plague Cases During the Plague Outbreak in Madagascar: Infodemiological Study. JMIR Public Health and Surveillance 2019;5(1):e13142
    CrossRef
  26. Saris K, Meis JF, Baño JR, Tacconelli E, van de Belt TH, Voss A. Does Online Search Behavior Coincide with Candida auris Cases? An Exploratory Study. Journal of Fungi 2019;5(2):44
    CrossRef
  27. Arora VS, McKee M, Stuckler D. Google Trends: Opportunities and limitations in health and health policy research. Health Policy 2019;123(3):338
    CrossRef
  28. Tizek L, Schielein M, Rüth M, Ständer S, Pereira MP, Eberlein B, Biedermann T, Zink A. Influence of Climate on Google Internet Searches for Pruritus Across 16 German Cities: Retrospective Analysis. Journal of Medical Internet Research 2019;21(7):e13739
    CrossRef
  29. Kolajo T, Daramola O, Adebiyi A. Big data stream analysis: a systematic literature review. Journal of Big Data 2019;6(1)
    CrossRef
  30. Maneejuk , Yamaka . Predicting Contagion from the US Financial Crisis to International Stock Markets Using Dynamic Copula with Google Trends. Mathematics 2019;7(11):1032
    CrossRef
  31. Sousa MJ, Pesqueira AM, Lemos C, Sousa M, Rocha . Decision-Making based on Big Data Analytics for People Management in Healthcare Organizations. Journal of Medical Systems 2019;43(9)
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.9366)

:
  1. Schwand C, Kotek K. Werbegeschichte(n). 2019. Chapter 17:307
    CrossRef