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Citing this Article

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Published on 12.10.16 in Vol 2, No 2 (2016): Jul-Dec

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

Works citing "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"

Rebecca Ling, Joon Lee

JMIR Public Health Surveill 2016 (Oct 12); 2(2):e156 

According to Crossref, the following articles are citing this article (DOI 10.2196/publichealth.6504):

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

  1. Tana JC, 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
    CrossRef
  2. Vraga EK, Stefanidis A, Lamprianidis G, Croitoru A, Crooks AT, Delamater PL, PFOSER D, Radzikowski JR, Jacobsen KH. Cancer and Social Media: A Comparison of Traffic about Breast Cancer, Prostate Cancer, and Other Reproductive Cancers on Twitter and Instagram. Journal of Health Communication 2018;23(2):181
    CrossRef
  3. . 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
  4. Xu C, Wang Y, Yang H, Hou J, Sun L, Zhang X, Cao X, Hou Y, Wang L, Cai Q, Wang Y. Association Between Cancer Incidence and Mortality in Web-Based Data in China: Infodemiology Study. Journal of Medical Internet Research 2019;21(1):e10677
    CrossRef
  5. . Big Data, Computational Social Science, and Health Communication: A Review and Agenda for Advancing Theory. Health Communication 2020;35(1):26
    CrossRef
  6. Corea F, Budincevic H, De Marchis GM, Nasr N, Rutovic S, Zedde M. Outlining Stroke Infodemiology. Telemedicine and e-Health 2020;26(4):380
    CrossRef
  7. Patel MS, Halpern JA, Desai AS, Keeter MK, Bennett NE, Brannigan RE. Success of Prostate and Testicular Cancer Awareness Campaigns Compared to Breast Cancer Awareness Month According to Internet Search Volumes: A Google Trends Analysis. Urology 2020;139:64
    CrossRef
  8. 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
    CrossRef
  9. Memon SA, Razak S, Weber I. Lifestyle Disease Surveillance Using Population Search Behavior: Feasibility Study. Journal of Medical Internet Research 2020;22(1):e13347
    CrossRef
  10. Zhang Y, Cao B, Wang Y, Peng T, Wang X. When Public Health Research Meets Social Media: Knowledge Mapping From 2000 to 2018. Journal of Medical Internet Research 2020;22(8):e17582
    CrossRef
  11. Leatherdale ST, Lee J. Artificial intelligence (AI) and cancer prevention: the potential application of AI in cancer control programming needs to be explored in population laboratories such as COMPASS. Cancer Causes & Control 2019;30(7):671
    CrossRef
  12. Hanna A, Hanna L. What, where and when? Using Google Trends and Google to investigate patient needs and inform pharmacy practice. International Journal of Pharmacy Practice 2019;27(1):80
    CrossRef
  13. Vasconcellos-Silva PR, Carvalho DBF, Trajano V, de La Rocque LR, Sawada ACMB, Juvanhol LL. Using Google Trends Data to Study Public Interest in Breast Cancer Screening in Brazil: Why Not a Pink February?. JMIR Public Health and Surveillance 2017;3(2):e17
    CrossRef
  14. Mahroum N, Bragazzi NL, Brigo F, Waknin R, Sharif K, Mahagna H, Amital H, Watad A. Capturing public interest toward new tools for controlling human immunodeficiency virus (HIV) infection exploiting data from Google Trends. Health Informatics Journal 2019;25(4):1383
    CrossRef
  15. 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
  16. . Google arama hacmi verileri ile Türkiye’de hastalık farkındalık günlerinin etkinliğinin değerlendirilmesi. Mersin Üniversitesi Sağlık Bilimleri Dergisi 2020;13(2):177
    CrossRef
  17. 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
  18. Joshi A, Amadi C, Katz B, Kulkarni S, Nash D. A Human-Centered Platform for HIV Infection Reduction in New York: Development and Usage Analysis of the Ending the Epidemic (ETE) Dashboard. JMIR Public Health and Surveillance 2017;3(4):e95
    CrossRef
  19. . Whiplash Syndrome Reloaded: Digital Echoes of Whiplash Syndrome in the European Internet Search Engine Context. JMIR Public Health and Surveillance 2017;3(1):e15
    CrossRef
  20. Barros JM, Duggan J, Rebholz-Schuhmann D. The Application of Internet-Based Sources for Public Health Surveillance (Infoveillance): Systematic Review. Journal of Medical Internet Research 2020;22(3):e13680
    CrossRef
  21. Effenberger M, Kronbichler A, Shin JI, Mayer G, Tilg H, Perco P. Association of the COVID-19 pandemic with Internet Search Volumes: A Google TrendsTM Analysis. International Journal of Infectious Diseases 2020;95:192
    CrossRef
  22. Roccetti M, Marfia G, Salomoni P, Prandi C, Zagari RM, Gningaye Kengni FL, Bazzoli F, Montagnani M. Attitudes of Crohn’s Disease Patients: Infodemiology Case Study and Sentiment Analysis of Facebook and Twitter Posts. JMIR Public Health and Surveillance 2017;3(3):e51
    CrossRef
  23. Gianfredi V, Bragazzi N, Mahamid M, Bisharat B, Mahroum N, Amital H, Adawi M. Monitoring public interest toward pertussis outbreaks: an extensive Google Trends–based analysis. Public Health 2018;165:9
    CrossRef
  24. Chai Y, Luo H, Zhang Q, Cheng Q, Lui CS, Yip PS. Developing an early warning system of suicide using Google Trends and media reporting. Journal of Affective Disorders 2019;255:41
    CrossRef
  25. Mavragani A, Ochoa G, Tsagarakis KP. Assessing the Methods, Tools, and Statistical Approaches in Google Trends Research: Systematic Review. Journal of Medical Internet Research 2018;20(11):e270
    CrossRef
  26. Mukhija D, Venkatraman A, Nagpal SJS. Effectivity of Awareness Months in Increasing Internet Search Activity for Top Malignancies Among Women. JMIR Public Health and Surveillance 2017;3(3):e55
    CrossRef
  27. Zhang Q, Chai Y, Li X, Young SD, Zhou J. Using internet search data to predict new HIV diagnoses in China: a modelling study. BMJ Open 2018;8(10):e018335
    CrossRef
  28. Chiu APY, Lin Q, He D, Ghezzi P. News trends and web search query of HIV/AIDS in Hong Kong. PLOS ONE 2017;12(9):e0185004
    CrossRef
  29. Karatzas K, Papamanolis L, Katsifarakis N, Riga M, Werchan B, Werchan M, Berger U, Bergmann K. Google Trends reflect allergic rhinitis symptoms related to birch and grass pollen seasons. Aerobiologia 2018;34(4):437
    CrossRef
  30. Pawar AS, Nagpal S, Pawar N, Lerman LO, Eirin A. General Public’s Information-Seeking Patterns of Topics Related to Obesity: Google Trends Analysis. JMIR Public Health and Surveillance 2020;6(3):e20923
    CrossRef
  31. Mangono T, Smittenaar P, Caplan Y, Huang VS, Sutermaster S, Kemp H, Sgaier SK. Information-Seeking Patterns During the COVID-19 Pandemic Across the United States: Longitudinal Analysis of Google Trends Data. Journal of Medical Internet Research 2021;23(5):e22933
    CrossRef
  32. . Decreased public awareness of skin cancer during the coronavirus pandemic. International Journal of Dermatology 2021;60(9)
    CrossRef
  33. Rotter D, Doebler P, Schmitz F. Interests, Motives, and Psychological Burdens in Times of Crisis and Lockdown: Google Trends Analysis to Inform Policy Makers. Journal of Medical Internet Research 2021;23(6):e26385
    CrossRef
  34. Effenberger M, Kronbichler A, Bettac E, Grabherr F, Grander C, Adolph TE, Mayer G, Zoller H, Perco P, Tilg H. Using Infodemiology Metrics to Assess Public Interest in Liver Transplantation: Google Trends Analysis. Journal of Medical Internet Research 2021;23(8):e21656
    CrossRef
  35. Perez JALS, Espiritu AI, Jamora RDG. Google search behavior for meningitis and its vaccines: an infodemiological study. BMC Neurology 2021;21(1)
    CrossRef
  36. Gómez-Salgado J, Palomino-Baldeón JC, Ortega-Moreno M, Fagundo-Rivera J, Allande-Cussó R, Ruiz-Frutos C. COVID-19 information received by the Peruvian population, during the first phase of the pandemic, and its association with developing psychological distress. Medicine 2022;101(5):e28625
    CrossRef
  37. Boakye E, Dzaye O, Erhabor J, Osuji N, Obisesan O, Osei AD, Bhatnagar A, Robertson RM, Blaha MJ. Impact of the Food and Drug Administration enforcement policy on flavored e-cigarettes on the online popularity of disposable e-cigarettes: analyses of Google search query data. BMC Public Health 2022;22(1)
    CrossRef
  38. Pinto R, Silva L, Valentim R, Kumar V, Gusmão C, Oliveira CA, Lacerda J. Systematic Review on Information Technology Approaches to Evaluate the Impact of Public Health Campaigns: Real Cases and Possible Directions. Frontiers in Public Health 2022;9
    CrossRef
  39. Simonart T, Lam Hoai X, de Maertelaer V. Worldwide Evolution of Vaccinable and Nonvaccinable Viral Skin Infections: Google Trends Analysis. JMIR Dermatology 2022;5(4):e35034
    CrossRef
  40. 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
    CrossRef
  41. Cao M, Guan T, Han X, Shen B, Chao B, Liu Y. Impact of a health campaign on Chinese public awareness of stroke: evidence from internet search data. BMJ Open 2021;11(12):e054463
    CrossRef
  42. 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
    CrossRef
  43. Simonart T, Lam Hoai X, De Maertelaer V. Epidemiologic evolution of common cutaneous infestations and arthropod bites: A Google Trends analysis. JAAD International 2021;5:69
    CrossRef
  44. Satpathy P, Kumar S, Prasad P. Suitability of Google Trends™ for Digital Surveillance During Ongoing COVID-19 Epidemic: A Case Study from India. Disaster Medicine and Public Health Preparedness 2023;17
    CrossRef
  45. Bayın Donar G, Aydan S. Association of COVID‐19 with lifestyle behaviours and socio‐economic variables in Turkey: An analysis of Google Trends. The International Journal of Health Planning and Management 2022;37(1):281
    CrossRef
  46. Gillis T, Garrison S. Confounding Effect of Undergraduate Semester–Driven “Academic" Internet Searches on the Ability to Detect True Disease Seasonality in Google Trends Data: Fourier Filter Method Development and Demonstration. JMIR Infodemiology 2022;2(2):e34464
    CrossRef
  47. Young LE, Nan Y, Jang E, Stevens R. Digital Epidemiological Approaches in HIV Research: a Scoping Methodological Review. Current HIV/AIDS Reports 2023;20(6):470
    CrossRef
  48. Wang L, Liu Y, Chen H, Qiu S, Liu Y, Yang M, Du X, Li Z, Hao R, Tian H, Song H. Search-engine-based surveillance using artificial intelligence for early detection of coronavirus disease outbreak. Journal of Big Data 2023;10(1)
    CrossRef