![]() At first, an overview of the tool and the data are presented, followed by an analysis of the key methodological points for ensuring the validity of the results, which include selecting the appropriate keyword(s), region(s), period, and category. We provide a step-by-step guide for the methodology that needs to be followed when using Google Trends and the essential aspects required for valid results in this line of research. This article aims at providing an overview of the tool and data and at presenting the first methodology framework in using Google Trends in infodemiology and infoveillance, including the main factors that need to be taken into account for a strong methodology base. Despite the large number of Google Trends studies during the last decade, the literature on the subject lacks a specific methodology framework. Online search traffic data from Google have been shown to be useful in analyzing human behavior toward health topics and in predicting disease occurrence and outbreaks. The most popular tool for examining online behavior is Google Trends, an open tool that provides information on trends and the variations of online interest in selected keywords and topics over time. Online Journal of Public Health InformaticsÄepartment of Computing Science and MathematicsÄ®mail: data are being increasingly integrated into health informatics research and are becoming a useful tool for exploring human behavior.Asian/Pacific Island Nursing Journal 13 articles.JMIR Bioinformatics and Biotechnology 38 articles.JMIR Biomedical Engineering 74 articles.Journal of Participatory Medicine 82 articles.JMIR Perioperative Medicine 100 articles.JMIR Rehabilitation and Assistive Technologies 225 articles.JMIR Pediatrics and Parenting 305 articles.Interactive Journal of Medical Research 340 articles. ![]() JMIR Public Health and Surveillance 1250 articles.Journal of Medical Internet Research 7998 articles.
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