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      What Motivates Internet Users to Search for Asperger Syndrome and Autism on Google?

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          Abstract

          Social campaigns are carried out to promote autism spectrum disorder (ASD) awareness, normalization, and visibility. The internet helps to shape perceptions of Asperger syndrome and autism. In fact, these campaigns often coincide with the increase in searches for both diagnoses on Google. We have two study objectives: to use Google Trends to identify the annual time points from 2015 to 2019 with the highest Google search traffic in Spain for the terms “autism” and “Asperger”, and to identify news and trending topics related to ASD that took place during the weeks with the highest number of Google searches for these terms. Google Trend, MyNews and Trendinalia were used to analyze the volume of searches and trending topics related to ASD. As a result, social marketing campaigns, social networks and the publication of news items act as powerful voices that can provide a realistic or sensationalist picture of the disorder. For this reason, we concluded that campaigns play an important role in the normalization of ASD, and that it is important for organizations concerned with the visibility and social inclusion of people with ASD to check the way ASD is portrayed through the internet, media, and social networks.

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          The social model of disability: thirty years on

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            Infodemiology: The epidemiology of (mis)information.

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              Assessing the Methods, Tools, and Statistical Approaches in Google Trends Research: Systematic Review

              Background In the era of information overload, are big data analytics the answer to access and better manage available knowledge? Over the last decade, the use of Web-based data in public health issues, that is, infodemiology, has been proven useful in assessing various aspects of human behavior. Google Trends is the most popular tool to gather such information, and it has been used in several topics up to this point, with health and medicine being the most focused subject. Web-based behavior is monitored and analyzed in order to examine actual human behavior so as to predict, better assess, and even prevent health-related issues that constantly arise in everyday life. Objective This systematic review aimed at reporting and further presenting and analyzing the methods, tools, and statistical approaches for Google Trends (infodemiology) studies in health-related topics from 2006 to 2016 to provide an overview of the usefulness of said tool and be a point of reference for future research on the subject. Methods Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines for selecting studies, we searched for the term “Google Trends” in the Scopus and PubMed databases from 2006 to 2016, applying specific criteria for types of publications and topics. A total of 109 published papers were extracted, excluding duplicates and those that did not fall inside the topics of health and medicine or the selected article types. We then further categorized the published papers according to their methodological approach, namely, visualization, seasonality, correlations, forecasting, and modeling. Results All the examined papers comprised, by definition, time series analysis, and all but two included data visualization. A total of 23.1% (24/104) studies used Google Trends data for examining seasonality, while 39.4% (41/104) and 32.7% (34/104) of the studies used correlations and modeling, respectively. Only 8.7% (9/104) of the studies used Google Trends data for predictions and forecasting in health-related topics; therefore, it is evident that a gap exists in forecasting using Google Trends data. Conclusions The monitoring of online queries can provide insight into human behavior, as this field is significantly and continuously growing and will be proven more than valuable in the future for assessing behavioral changes and providing ground for research using data that could not have been accessed otherwise.
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                Author and article information

                Journal
                Int J Environ Res Public Health
                Int J Environ Res Public Health
                ijerph
                International Journal of Environmental Research and Public Health
                MDPI
                1661-7827
                1660-4601
                15 December 2020
                December 2020
                : 17
                : 24
                : 9386
                Affiliations
                Department of Education and School Management, Faculty of Teacher Training, University of Valencia, 46022 Valencia, Spain; irene.gomez@ 123456uv.es (I.G.-M.); pilar.sanz-cervera@ 123456uv.es (P.S.-C.)
                Author notes
                [* ]Correspondence: raul.tarraga@ 123456uv.es
                Author information
                https://orcid.org/0000-0002-4458-5763
                https://orcid.org/0000-0002-0452-3293
                https://orcid.org/0000-0001-6919-6150
                Article
                ijerph-17-09386
                10.3390/ijerph17249386
                7765400
                33333991
                72731b86-7362-4d78-9c1e-9847fd2f81b8
                © 2020 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 22 October 2020
                : 10 December 2020
                Categories
                Article

                Public health
                asperger,autism,google trends,internet users’ behavior,mynews,social campaigns,trendinalia
                Public health
                asperger, autism, google trends, internet users’ behavior, mynews, social campaigns, trendinalia

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