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

Methods and Feasibility Studies (451) Infodemiology and Infoveillance (1558) Obstetrics, Gynecology, and Reproductive Medicine (329) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1139)

Published on in Vol 9, No 7 (2020): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16543, first published .
Using Application Programming Interfaces to Access Google Data for Health Research: Protocol for a Methodological Framework

Using Application Programming Interfaces to Access Google Data for Health Research: Protocol for a Methodological Framework

Using Application Programming Interfaces to Access Google Data for Health Research: Protocol for a Methodological Framework

Authors of this article:

Anne Zepecki1 Author Orcid Image ;   Sylvia Guendelman1 Author Orcid Image ;   John DeNero2 Author Orcid Image ;   Ndola Prata1 Author Orcid Image
Article Authors Cited by (20) Tweetations (3) Metrics

Journals

  1. Mayo-Yáñez M, Calvo‑Henríquez C, Chiesa-Estomba C, Lechien J, González-Torres L. Google Trends application for the study of information search behaviour on oropharyngeal cancer in Spain. European Archives of Oto-Rhino-Laryngology 2021;278(7):2569 View
  2. Pleasants E, Guendelman S, Weidert K, Prata N, Telfair J. Quality of top webpages providing abortion pill information for Google searches in the USA: An evidence-based webpage quality assessment. PLOS ONE 2021;16(1):e0240664 View
  3. Keyes K, Kandula S, Olfson M, Gould M, Martínez-Alés G, Rutherford C, Shaman J. Suicide and the agent–host–environment triad: leveraging surveillance sources to inform prevention. Psychological Medicine 2021;51(4):529 View
  4. Prata N, Weidert K, Zepecki A, Yon E, Pleasants E, Sams-Abiodun P, Guendelman S. Using Application Programming Interfaces (APIs) to Access Google Data and Gain Insights Into Searches on Birth Control in Louisiana and Mississippi, 2014-2018: Infoveillance Study. Journal of Medical Internet Research 2021;23(7):e25923 View
  5. Farkhad B, Nazari M, Chan M, Albarracín D. State health policies and interest in PrEP: evidence from Google Trends. AIDS Care 2022;34(3):331 View
  6. Jiang S, Davison-Kerwood M, Gonzalez M. Increased Rate of Fracture Injuries Associated With Alternative Modes of Transportation During COVID-19. JAAOS: Global Research and Reviews 2022;6(9) View
  7. Guendelman S, Pleasants E, Cheshire C, Kong A. Exploring Google Searches for Out-of-Clinic Medication Abortion in the United States During 2020: Infodemiology Approach Using Multiple Samples. JMIR Infodemiology 2022;2(1):e33184 View
  8. Neumann K, Mason S, Farkas K, Santaularia N, Ahern J, Riddell C. Harnessing Google Health Trends Data for Epidemiologic Research. American Journal of Epidemiology 2023;192(3):430 View
  9. Akosman S, Qi L, Pakhchanian H, Foos W, Maliakkal J, Raiker R, Belyea D, Geist C. Using infodemiology metrics to assess patient demand for oculoplastic surgeons in the United States: insights from Google Search Trends. Orbit 2023;42(5):510 View
  10. McKool M, Han S, Sandhu J, Marshall C, Guendelman S, Harley K. Emerging Technology: Preparing Tomorrow's MCH Workforce to Innovate for Equity. Maternal and Child Health Journal 2022;26(S1):210 View
  11. Davison-Kerwood M, Jiang S, Gonzalez1 M. Orthopaedic Surgical Demand Index: A Measure of Need in the United States. JAAOS: Global Research and Reviews 2022;6(11) View
  12. Ahmed F, Samantasinghar A, Soomro A, Kim S, Choi K. A systematic review of computational approaches to understand cancer biology for informed drug repurposing. Journal of Biomedical Informatics 2023;142:104373 View
  13. Rathke B, Yu H, Huang H. What Remains Now That the Fear Has Passed? Developmental Trajectory Analysis of COVID-19 Pandemic for Co-occurrences of Twitter, Google Trends, and Public Health Data. Disaster Medicine and Public Health Preparedness 2023;17 View
  14. Finnegan A, Subburaj S, Hunter K, Parkash P, Shulman E, Ramkalawan J, Huchko M. Big Data, Machine Learning and Contraceptive Use: A Scoping Review. Oxford Open Digital Health 2023;1 View
  15. de Oliveira Caetano G, Vardi R, Jarić I, Correia R, Roll U, Veríssimo D. Evaluating global interest in biodiversity and conservation. Conservation Biology 2023;37(5) View
  16. Wychgram C, Aucott J, Rebman A, Curriero F, Calderaro A. Identifying the geographic leading edge of Lyme disease in the United States with internet searches: A spatiotemporal analysis of Google Health Trends data. PLOS ONE 2024;19(11):e0312277 View
  17. Bhagavathula A, Khubchandani J, England-Kennedy E, Pai A, Sharma S. Tracking the SARS-CoV-2 variants associated with long-COVID in the United States using infodemiology. The Evidence 2024;2(4) View

Conference Proceedings

  1. Wahyuningrum T, Prasetyo N, Bahtiar A, Latifah L, Ramadhani I, Yunitawati D. 2022 5th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI). Google Trends Data About Mental Health During COVID-19 Pandemic Using Time Series Regression View
  2. Hemalatha G, Karthick V. THE 4TH INTERNATIONAL CONFERENCE ON MATERIAL SCIENCE AND APPLICATIONS. An effective framework to predict visual behaviour of driver drowsiness level using improved ensemble method over CatBoost algorithm View
  3. Hemalatha G, Lakshmi S, Karthick V. FIFTH INTERNATIONAL CONFERENCE ON APPLIED SCIENCES: ICAS2023. An effective framework to predict visual behavior of driver drowsiness level using improved ensemble method over XGBoost algorithm View