Published on in Vol 17, No 11 (2015): November

Forecasting the Incidence of Dementia and Dementia-Related Outpatient Visits With Google Trends: Evidence From Taiwan

Forecasting the Incidence of Dementia and Dementia-Related Outpatient Visits With Google Trends: Evidence From Taiwan

Forecasting the Incidence of Dementia and Dementia-Related Outpatient Visits With Google Trends: Evidence From Taiwan

Authors of this article:

Ho-Wei Wang1 Author Orcid Image ;   Duan-Rung Chen1 Author Orcid Image ;   Hsiao-Wei Yu1 Author Orcid Image ;   Ya-Mei Chen1 Author Orcid Image

Journals

  1. Ransohoff J, Sarin K. Referred by Google: mining Google Trends data to identify patterns in and correlates to searches for dermatological concerns and providers. British Journal of Dermatology 2018;178(3):794 View
  2. Mavragani A, Ochoa G, Tsagarakis K. Assessing the Methods, Tools, and Statistical Approaches in Google Trends Research: Systematic Review. Journal of Medical Internet Research 2018;20(11):e270 View
  3. Mavragani A, Sypsa K, Sampri A, Tsagarakis K. Quantifying the UK Online Interest in Substances of the EU Watchlist for Water Monitoring: Diclofenac, Estradiol, and the Macrolide Antibiotics. Water 2016;8(11):542 View
  4. 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
  5. Barros J, 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 View
  6. Mavragani A. Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206 View
  7. 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 View
  8. Gafson A, Craner M, Matthews P. Personalised medicine for multiple sclerosis care. Multiple Sclerosis Journal 2017;23(3):362 View
  9. Mavragani A, Sampri A, Tsagarakis K. Quantifying the Online Behavior Towards Organic Micropollutants of the EU Watchlist: The Cases of Diclofenac & the Macrolide Antibiotics. Procedia Engineering 2016;162:576 View
  10. Luo L, Liao C, Zhang F, Zhang W, Li C, Qiu Z, Huang D. Applicability of internet search index for asthma admission forecast using machine learning. The International Journal of Health Planning and Management 2018;33(3):723 View
  11. Agarwal V, Zhang L, Zhu J, Fang S, Cheng T, Hong C, Shah N. Impact of Predicting Health Care Utilization Via Web Search Behavior: A Data-Driven Analysis. Journal of Medical Internet Research 2016;18(9):e251 View
  12. Yang P, Shih M, Liu Y, Hsu Y, Chang H, Lin M, Chen T, Chou L, Hwang S. Web Search Trends of Implementing the Patient Autonomy Act in Taiwan. Healthcare 2020;8(3):353 View
  13. Zeraatkar K, Ahmadi M. Trends of infodemiology studies: a scoping review. Health Information & Libraries Journal 2018;35(2):91 View
  14. Zhang Z, Zheng X, Zeng D, Leischow S. Tracking Dabbing Using Search Query Surveillance: A Case Study in the United States. Journal of Medical Internet Research 2016;18(9):e252 View
  15. Chang Y, Chiang W, Wang W, Lin C, Hung L, Tsai Y, Chen Y. Assessing Epidemic Diseases and Public Opinion through Popular Search Behavior Using Non-English Language Google Trends (Preprint). JMIR Public Health and Surveillance 2018 View
  16. Mavragani A, Sampri A, Sypsa K, Tsagarakis K. Integrating Smart Health in the US Health Care System: Infodemiology Study of Asthma Monitoring in the Google Era. JMIR Public Health and Surveillance 2018;4(1):e24 View
  17. Memon S, Razak S, Weber I. Lifestyle Disease Surveillance Using Population Search Behavior: Feasibility Study. Journal of Medical Internet Research 2020;22(1):e13347 View
  18. Chang Y, Chiang W, Wang W, Lin C, Hung L, Tsai Y, Suen J, Chen Y. Google Trends-based non-English language query data and epidemic diseases: a cross-sectional study of the popular search behaviour in Taiwan. BMJ Open 2020;10(7):e034156 View
  19. Jaakkimainen R, Bronskill S, Tierney M, Herrmann N, Green D, Young J, Ivers N, Butt D, Widdifield J, Tu K. Identification of Physician-Diagnosed Alzheimer’s Disease and Related Dementias in Population-Based Administrative Data: A Validation Study Using Family Physicians’ Electronic Medical Records. Journal of Alzheimer's Disease 2016;54(1):337 View
  20. Zhang Q, Chai Y, Li X, Young S, Zhou J. Using internet search data to predict new HIV diagnoses in China: a modelling study. BMJ Open 2018;8(10):e018335 View
  21. Mavragani A, Ochoa G. Forecasting AIDS prevalence in the United States using online search traffic data. Journal of Big Data 2018;5(1) View
  22. 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
  23. Ienca M, Vayena E, Blasimme A. Big Data and Dementia: Charting the Route Ahead for Research, Ethics, and Policy. Frontiers in Medicine 2018;5 View
  24. Mavragani A, Ochoa G. Infoveillance of infectious diseases in USA: STDs, tuberculosis, and hepatitis. Journal of Big Data 2018;5(1) View
  25. Mavragani A, Tsagarakis K. Predicting referendum results in the Big Data Era. Journal of Big Data 2019;6(1) View
  26. Kurian S, Bhatti A, Alvi M, Ting H, Storlie C, Wilson P, Shah N, Liu H, Bydon M. Correlations Between COVID-19 Cases and Google Trends Data in the United States: A State-by-State Analysis. Mayo Clinic Proceedings 2020;95(11):2370 View
  27. Shehzad A, Rockwood K, Stanley J, Dunn T, Howlett S. Use of Patient-Reported Symptoms from an Online Symptom Tracking Tool for Dementia Severity Staging: Development and Validation of a Machine Learning Approach. Journal of Medical Internet Research 2020;22(11):e20840 View
  28. Martini M, Bragazzi N. Googling for Neurological Disorders: From Seeking Health-Related Information to Patient Empowerment, Advocacy, and Open, Public Self-Disclosure in the Neurology 2.0 Era. Journal of Medical Internet Research 2021;23(3):e13999 View
  29. Olukanmi S, Nelwamondo F, Nwulu N. Utilizing Google Search Data With Deep Learning, Machine Learning and Time Series Modeling to Forecast Influenza-Like Illnesses in South Africa. IEEE Access 2021;9:126822 View
  30. Piamonte B, Anlacan V, Jamora R, Espiritu A. Googling Alzheimer Disease: An Infodemiological and Ecological Study. Dementia and Geriatric Cognitive Disorders Extra 2021;11(3):333 View
  31. Mao Y, Wang P, Wang X, Ye D. Global Public Interest and Seasonal Variations in Alzheimer's Disease: Evidence From Google Trends. Frontiers in Medicine 2021;8 View
  32. 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
  33. Gkotsis G, Mueller C, Dobson R, Hubbard T, Dutta R. Mining Social Media Data to Study the Consequences of Dementia Diagnosis on Caregivers and Relatives. Dementia and Geriatric Cognitive Disorders 2020;49(3):295 View
  34. Wang D, Guerra A, Wittke F, Lang J, Bakker K, Lee A, Finelli L, Chen Y. Real-Time Monitoring of Infectious Disease Outbreaks with a Combination of Google Trends Search Results and the Moving Epidemic Method: A Respiratory Syncytial Virus Case Study. Tropical Medicine and Infectious Disease 2023;8(2):75 View
  35. Di Spirito F, Bramanti A, Cannatà D, Coppola N, Di Palo M, Savarese G, Amato M. Oral and Dental Needs and Teledentistry Applications in the Elderly: Real-Time Surveillance Using Google Trends. Applied Sciences 2023;13(9):5416 View
  36. Thakur N, Cui S, Patel K, Azizi N, Knieling V, Han C, Poon A, Shah R. Marburg Virus Outbreak and a New Conspiracy Theory: Findings from a Comprehensive Analysis and Forecasting of Web Behavior. Computation 2023;11(11):234 View

Books/Policy Documents

  1. Samaras L, García-Barriocanal E, Sicilia M. Innovation in Health Informatics. View
  2. Sharma A, Sinha S, Johari S, Mazumder B. Genomics-Driven Healthcare. View