A PRACTICAL ALGORITHM FOR EXTRACTING MULTIPLE DATA SAMPLES FROM GOOGLE TRENDS EXTENDED FOR HEALTH

Jacques Raubenheimer

2022American Journal of Epidemiology15 citationsDOI

Abstract

Journal Article A PRACTICAL ALGORITHM FOR EXTRACTING MULTIPLE DATA SAMPLES FROM GOOGLE TRENDS EXTENDED FOR HEALTH Get access Jacques E Raubenheimer Jacques E Raubenheimer Correspondence Address: Correspondence to: Dr Jacques Raubenheimer, Biomedical Informatics and Digital Health, R C Mills building 107, The University of Sydney, NSW, 2006, Australia (e-mail: [email protected]) Search for other works by this author on: Oxford Academic PubMed Google Scholar American Journal of Epidemiology, Volume 191, Issue 9, September 2022, Pages 1666–1669, https://doi.org/10.1093/aje/kwac088 Published: 04 May 2022 Article history Received: 06 September 2021 Revision received: 17 March 2022 Accepted: 29 April 2022 Published: 04 May 2022

Topics & Concepts

Computer scienceThe InternetRaw dataServerProtocol (science)Table (database)Key (lock)Application programming interfaceWorld Wide WebDatabaseAlgorithmInformation retrievalData miningOperating systemMedicinePathologyAlternative medicineProgramming languageData-Driven Disease SurveillanceColorectal Cancer Screening and DetectionHealth Literacy and Information Accessibility