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

Cancer and Prevention in the Media (28) Infodemiology and Infoveillance (1270) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1010)

Published on in Vol 2, No 1 (2016): Jan-Jun

“Googling” for Cancer: An Infodemiological Assessment of Online Search Interests in Australia, Canada, New Zealand, the United Kingdom, and the United States

“Googling” for Cancer: An Infodemiological Assessment of Online Search Interests in Australia, Canada, New Zealand, the United Kingdom, and the United States

“Googling” for Cancer: An Infodemiological Assessment of Online Search Interests in Australia, Canada, New Zealand, the United Kingdom, and the United States

Authors of this article:

Forough Foroughi1 Author Orcid Image ;   Alfred K-Y Lam2 Author Orcid Image ;   Megan S.C. Lim3 Author Orcid Image ;   Nassim Saremi2 Author Orcid Image ;   Alireza Ahmadvand4 Author Orcid Image
Article Authors Cited by (44) Tweetations (7) Metrics

Journals

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  14. Tana J, Kettunen J, Eirola E, Paakkonen H. Diurnal Variations of Depression-Related Health Information Seeking: Case Study in Finland Using Google Trends Data. JMIR Mental Health 2018;5(2):e43 View
  15. Ganasegeran K, Ch’ng A, Aziz Z, 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) View
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  18. Ling R, Lee J. Disease Monitoring and Health Campaign Evaluation Using Google Search Activities for HIV and AIDS, Stroke, Colorectal Cancer, and Marijuana Use in Canada: A Retrospective Observational Study. JMIR Public Health and Surveillance 2016;2(2):e156 View
  19. Menachemi N, Rahurkar S, Rahurkar M. Using Web-Based Search Data to Study the Public’s Reactions to Societal Events: The Case of the Sandy Hook Shooting. JMIR Public Health and Surveillance 2017;3(1):e12 View
  20. Li Y, Ye S, Zhou Y, Mao F, Guo H, Lin Y, Zhang X, Shen S, Shi N, Wang X, Sun Q. Web-Based Medical Information Searching by Chinese Patients With Breast Cancer and its Influence on Survival: Observational Study. Journal of Medical Internet Research 2020;22(4):e16768 View
  21. Weitzman E, Magane K, Chen P, Amiri H, Naimi T, Wisk L. Online Searching and Social Media to Detect Alcohol Use Risk at Population Scale. American Journal of Preventive Medicine 2020;58(1):79 View
  22. Yang H, Li S, Sun L, Zhang X, Hou J, Wang Y. Effects of the Ambient Fine Particulate Matter on Public Awareness of Lung Cancer Risk in China: Evidence from the Internet-Based Big Data Platform. JMIR Public Health and Surveillance 2017;3(4):e64 View
  23. Blackwood J, Wright F, Hong N, Gagliardi A. Quality of DCIS information on the internet: a content analysis. Breast Cancer Research and Treatment 2019;177(2):295 View
  24. 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 View
  25. Bach R, Wenz A, Borsci S. Studying health-related internet and mobile device use using web logs and smartphone records. PLOS ONE 2020;15(6):e0234663 View
  26. Buote R, Collins R, Shepherd J, McGowan E. Evaluation of the accuracy and availability of cancer-related physical activity and sedentary behaviour information on English-language websites. Journal of Psychosocial Oncology 2018;36(6):754 View
  27. Berlinberg E, Deiner M, Porco T, Acharya N. Monitoring Interest in Herpes Zoster Vaccination: Analysis of Google Search Data. JMIR Public Health and Surveillance 2018;4(2):e10180 View
  28. Marcu A, Muller C, Ream E, Whitaker K. Online Information-Seeking About Potential Breast Cancer Symptoms: Capturing Online Behavior With an Internet Browsing Tracking Tool. Journal of Medical Internet Research 2019;21(2):e12400 View
  29. Al-Mughales J, Alahwal M. Inappropriate practice in tumor marker requests at a university hospital in Western Saudi Arabia: A 3-year retrospective study. The International Journal of Biological Markers 2020;35(4):35 View
  30. Raubenheimer J, Riordan B, Merrill J, Winter T, Ward R, Scarf D, Buckley N. Hey Google! will New Zealand vote to legalise cannabis? Using Google Trends data to predict the outcome of the 2020 New Zealand cannabis referendum. International Journal of Drug Policy 2021;90:103083 View
  31. Lee E, Bekalu M, McCloud R, Viswanath K. Toward an Extended Infodemiology Framework: Leveraging Social Media Data and Web Search Queries as Digital Pulse on Cancer Communication. Health Communication 2023;38(2):335 View
  32. Tas F, Erturk K. Using Google as a Source of Information About Breast Cancer. Indian Journal of Surgery 2023;85(2):473 View
  33. Gianfredi V, Nucci D, Nardi M, Santangelo O, Provenzano S. Using Google Trends and Wikipedia to Investigate the Global Public’s Interest in the Pancreatic Cancer Diagnosis of a Celebrity. International Journal of Environmental Research and Public Health 2023;20(3):2106 View
  34. Özistanbullu D, Weber R, Kleemann J, Jäger M, Kippenberger S, Kaufmann R, Meissner M. Exploring the most visible websites on cutaneous T‐cell lymphoma—revealing limited quality of patient health information on the internet. Journal of the European Academy of Dermatology and Venereology 2022;36(11):2008 View
  35. Ming W, Huang F, Chen Q, Liang B, Jiao A, Liu T, Wu H, Akinwunmi B, Li J, Liu G, Zhang C, Huang J, Liu Q. Understanding Health Communication Through Google Trends and News Coverage for COVID-19: Multinational Study in Eight Countries. JMIR Public Health and Surveillance 2021;7(12):e26644 View
  36. Teplinsky E, Ponce S, Drake E, Garcia A, Loeb S, van Londen G, Teoh D, Thompson M, Schapira L. Online Medical Misinformation in Cancer: Distinguishing Fact From Fiction. JCO Oncology Practice 2022;18(8):584 View
  37. Nelson G. Social media in gynecologic oncology: A new frontier. Gynecologic Oncology 2022;166(1):3 View
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Books/Policy Documents

  1. Samaras L, García-Barriocanal E, Sicilia M. Innovation in Health Informatics. View