Literature DB >> 25612125

Comparing burden of dermatologic disease to search interest on google trends.

Jacob Whitsitt, Chante Karimkhani, Lindsay N Boyers, Jason P Lott, Robert P Dellavalle1.   

Abstract

Google Trends is a publicly available resource for comparing Internet search query frequency and trends interest in queries over time. The tool provides country, region, and city-specific data for term search volume on Google Search. Our study sought to compare the relative search interest to the burden of disease for the fifteen skin conditions studied by the Global Burden of Disease (GBD) 2010 project. Searches on Google Trends were conducted by using the most inclusive terms and true ICD code definitions as possible for the skin conditions studied. We report that relative interest on Google Trends did largely correlate to burden of disease reported by the GBD 2010 study, though some conditions were either underrepresented or overrepresented. Acne and herpes were the most Googled skin disease terms. This study provides further insight into what may be the most burdensome skin diseases because those with more burdensome diseases likely sought out information on their condition.

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Mesh:

Year:  2015        PMID: 25612125

Source DB:  PubMed          Journal:  Dermatol Online J        ISSN: 1087-2108


  4 in total

1.  THE MICHAEL JACKSON AND WINNIE HARLOW EFFECT: IMPACT ON VITILIGO AWARENESS ON THE INTERNET.

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Journal:  J Clin Aesthet Dermatol       Date:  2019-09-01

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Authors:  Simon M Mueller; Valentina N S Hongler; Pierre Jungo; Lucian Cajacob; Simon Schwegler; Esther H Steveling; Zita-Rose Manjaly Thomas; Oliver Fuchs; Alexander Navarini; Kathrin Scherer; Oliver Brandt
Journal:  J Med Internet Res       Date:  2020-04-24       Impact factor: 5.428

3.  Computational Forecasting Methodology for Acute Respiratory Infectious Disease Dynamics.

Authors:  Daniel Alejandro Gónzalez-Bandala; Juan Carlos Cuevas-Tello; Daniel E Noyola; Andreu Comas-García; Christian A García-Sepúlveda
Journal:  Int J Environ Res Public Health       Date:  2020-06-24       Impact factor: 3.390

4.  Tracking Hookah Bars in New York: Utilizing Yelp as a Powerful Public Health Tool.

Authors:  Philip B Cawkwell; Lily Lee; Michael Weitzman; Scott E Sherman
Journal:  JMIR Public Health Surveill       Date:  2015-11-20
  4 in total

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