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

Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1050) Infodemiology and Infoveillance (1369) Public (e)Health, Digital Epidemiology and Public Health Informatics (750)

Published on in Vol 4, No 1 (2018): Jan-Mar

Integrating Smart Health in the US Health Care System: Infodemiology Study of Asthma Monitoring in the Google Era

Integrating Smart Health in the US Health Care System: Infodemiology Study of Asthma Monitoring in the Google Era

Integrating Smart Health in the US Health Care System: Infodemiology Study of Asthma Monitoring in the Google Era

Authors of this article:

Amaryllis Mavragani1 Author Orcid Image ;   Alexia Sampri1 Author Orcid Image ;   Karla Sypsa2 Author Orcid Image ;   Konstantinos P Tsagarakis3 Author Orcid Image
Article Authors Cited by (22) Tweetations (7) Metrics

Journals

  1. Liu D, Besser G, Parzefall T, Riss D, Mueller C. Winter peaks in web-based public inquiry into epistaxis. European Archives of Oto-Rhino-Laryngology 2020;277(7):1977 View
  2. Mavragani A, Ochoa G. Infoveillance of infectious diseases in USA: STDs, tuberculosis, and hepatitis. Journal of Big Data 2018;5(1) View
  3. Apolinardo-Arzube O, García-Díaz J, Medina-Moreira J, Luna-Aveiga H, Valencia-García R. Evaluating Information-Retrieval Models and Machine-Learning Classifiers for Measuring the Social Perception towards Infectious Diseases. Applied Sciences 2019;9(14):2858 View
  4. Mavragani A, Ochoa G. Forecasting AIDS prevalence in the United States using online search traffic data. Journal of Big Data 2018;5(1) View
  5. George J, Häsler B, Mremi I, Sindato C, Mboera L, Rweyemamu M, Mlangwa J. A systematic review on integration mechanisms in human and animal health surveillance systems with a view to addressing global health security threats. One Health Outlook 2020;2(1) View
  6. 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
  7. 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
  8. Mavragani A. Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206 View
  9. Safarishahrbijari A, Osgood N. Social Media Surveillance for Outbreak Projection via Transmission Models: Longitudinal Observational Study. JMIR Public Health and Surveillance 2019;5(2):e11615 View
  10. Jabaley C, Groff R, O’Reilly-Shah V. Asthma Information Seeking via Wikipedia between 2015 and 2018: Implications for Awareness Promotion. American Journal of Respiratory and Critical Care Medicine 2019;199(4):531 View
  11. Mavragani A, Ochoa G. Google Trends in Infodemiology and Infoveillance: Methodology Framework. JMIR Public Health and Surveillance 2019;5(2):e13439 View
  12. Sharma D, Sandelski M, Ting J, Higgins T. Correlations in Trends of Sinusitis-Related Online Google Search Queries in the United States. American Journal of Rhinology & Allergy 2020;34(4):482 View
  13. Wang P, Xu Q, Cao R, Deng F, Lei S. Global Public Interests and Dynamic Trends in Osteoporosis From 2004 to 2019: Infodemiology Study. Journal of Medical Internet Research 2021;23(7):e25422 View
  14. Sousa-Pinto B, Halonen J, Antó A, Jormanainen V, Czarlewski W, Bedbrook A, Papadopoulos N, Freitas A, Haahtela T, Antó J, Fonseca J, Bousquet J. Prediction of Asthma Hospitalizations for the Common Cold Using Google Trends: Infodemiology Study. Journal of Medical Internet Research 2021;23(7):e27044 View
  15. Amusa L, Twinomurinzi H, Phalane E, Phaswana-Mafuya R. Big Data and Infectious Disease Epidemiology: Bibliometric Analysis and Research Agenda. Interactive Journal of Medical Research 2023;12:e42292 View
  16. Tantengco O. Decreased global online interest in obesity from 2004 to 2021: An infodemiology study. Obesity Medicine 2022;30:100389 View
  17. Amusa L, Twinomurinzi H, Okonkwo C. Modeling COVID-19 incidence with Google Trends. Frontiers in Research Metrics and Analytics 2022;7 View
  18. Choi W, Huh J. A Survey to Reduce STDs Infection in Mongolia and Big Data Virtualization Propagation. Electronics 2021;10(24):3101 View
  19. Niu Q, Liu J, Zhao Z, Onishi M, Kawaguchi A, Bandara A, Harada K, Aoyama T, Nagai-Tanima M. Explanation of hand, foot, and mouth disease cases in Japan using Google Trends before and during the COVID-19: infodemiology study. BMC Infectious Diseases 2022;22(1) View
  20. Morokhovets H, Lysanets Y, Kaidashev I. INFODEMIOLOGY: USING GOOGLE TRENDS AS A RESEARCH TOOL DURING THE COVID-19 PANDEMIC. The Medical and Ecological Problems 2023;27(3-4):3 View

Books/Policy Documents

  1. Baiardini I, Heffler E. Implementing Precision Medicine in Best Practices of Chronic Airway Diseases. View
  2. Thakur N, Khanna K, Cui S, Azizi N, Liu Z. HCI International 2023 – Late Breaking Papers. View