Literature DB >> 27401424

Seasonality of Ankle Swelling: Population Symptom Reporting Using Google Trends.

Fangwei Liu1, G Michael Allan1, Christina Korownyk1, Michael Kolber1, Nigel Flook1, Harvey Sternberg1, Scott Garrison2.   

Abstract

In our experience, complaints of ankle swelling are more common in summer, typically from patients with no obvious cardiovascular disease. Surprisingly, this observation has never been reported. To objectively establish this phenomenon, we sought evidence of seasonality in the public's Internet searches for ankle swelling. Our data, obtained from Google Trends, consisted of all related Google searches in the United States from January 4, 2004, to January 26, 2016. Consistent with our expectations and confirmed by similar data for Australia, Internet searches for information on ankle swelling are highly seasonal (highest in midsummer), with seasonality explaining 86% of search volume variability.
© 2016 Annals of Family Medicine, Inc.

Entities:  

Keywords:  Web browser/Google; edema; seasonal

Mesh:

Year:  2016        PMID: 27401424      PMCID: PMC4940466          DOI: 10.1370/afm.1953

Source DB:  PubMed          Journal:  Ann Fam Med        ISSN: 1544-1709            Impact factor:   5.166


  8 in total

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Authors:  Scott R Garrison; Colin R Dormuth; Richard L Morrow; Greg A Carney; Karim M Khan
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3.  Seasonality in lower leg length velocity in prepubertal children.

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4.  Season affects body composition and estimation of fluid overload in haemodialysis patients: variations in body composition; a survey from the European MONDO database.

Authors:  Natascha J H Broers; Len A Usvyat; Daniele Marcelli; Inga Bayh; Laura Scatizzi; Bernard Canaud; Frank M van der Sande; Peter Kotanko; Ulrich Moissl; Jeroen P Kooman
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5.  Infodemiology of status epilepticus: A systematic validation of the Google Trends-based search queries.

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Authors:  Sally C Inglis; Robyn A Clark; Sepehr Shakib; Denis T Wong; Payman Molaee; David Wilkinson; Simon Stewart
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7.  Widespread seasonal gene expression reveals annual differences in human immunity and physiology.

Authors:  Xaquin Castro Dopico; Marina Evangelou; Ricardo C Ferreira; Hui Guo; Marcin L Pekalski; Deborah J Smyth; Nicholas Cooper; Oliver S Burren; Anthony J Fulford; Branwen J Hennig; Andrew M Prentice; Anette-G Ziegler; Ezio Bonifacio; Chris Wallace; John A Todd
Journal:  Nat Commun       Date:  2015-05-12       Impact factor: 14.919

8.  The utility of Google Trends data to examine interest in cancer screening.

Authors:  M Schootman; A Toor; P Cavazos-Rehg; D B Jeffe; A McQueen; J Eberth; N O Davidson
Journal:  BMJ Open       Date:  2015-06-08       Impact factor: 2.692

  8 in total
  11 in total

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Authors:  Sinan Kardeş
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3.  Quality of warfarin management in primary care: Determining the stability of international normalized ratios using a nationally representative prospective cohort.

Authors:  Sharon Liu; Alexander Singer; Finlay A McAlister; William Peeler; Balraj S Heran; Neil Drummond; Donna P Manca; G Michael Allan; Christina Korownyk; Michael R Kolber; Michelle Greiver; Scott R Garrison
Journal:  Can Fam Physician       Date:  2019-06       Impact factor: 3.275

4.  Warmer Weather as a Risk Factor for Cellulitis: A Population-based Investigation.

Authors:  Ryan A Peterson; Linnea A Polgreen; Daniel K Sewell; Philip M Polgreen
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5.  The Retrospective Analysis of Google Queries Related to Cardiovascular Diseases Symptoms in the Years 2004-2019.

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6.  Chronic lifestyle diseases display seasonal sensitive comorbid trend in human population evidence from Google Trends.

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Journal:  PLoS One       Date:  2018-12-12       Impact factor: 3.240

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8.  Seasonality of cellulitis: evidence from Google Trends.

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Journal:  Infect Drug Resist       Date:  2018-05-03       Impact factor: 4.003

9.  Googling Musculoskeletal-Related Pain and Ranking of Medical Associations' Patient Information Pages: Google Ads Keyword Planner Analysis.

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10.  Seasonal and Weather Effects on Rheumatoid Arthritis: Myth or Reality?

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Journal:  Pain Res Manag       Date:  2020-09-07       Impact factor: 3.037

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