Literature DB >> 20031078

Diseases tracked by using Google trends, Spain.

Antonio Valdivia, Susana Monge-Corella.   

Abstract

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Year:  2010        PMID: 20031078      PMCID: PMC2874385          DOI: 10.3201/eid1601.091308

Source DB:  PubMed          Journal:  Emerg Infect Dis        ISSN: 1080-6040            Impact factor:   6.883


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To the Editor: We read the article by Pelat et al. () with great interest and decided to explore whether this tool could be applicable for non-English and non-French speaking countries and, more specifically, for Spain. We compared the Google queries related to influenza-like illness (ILI) and chickenpox described by Pelat et al. (), and constructed additional queries with symptoms and conditions frequently associated with ILI. The weekly queries from January 2004 through February 2009 were downloaded from Google Insights for Search (). We studied the correlation (Spearman ρ) of these queries with the data from the national reporting of notifiable diseases, available from the Spanish National Epidemiology Center website (), assuming a maximum difference of 4 weeks. The queries for gripe (Spanish for influenza) showed a maximum correlation (ρ = 0.70) 2 weeks before the declared ILI (DILI). When excluding the terms for aviar (avian) and vacuna (vaccine), the correlation peak (ρ = 0.81) was likewise observable 2 weeks before the DILI. The maximum correlation observed for symptom queries was for tos (Spanish for cough) 2 weeks before the DILI (ρ = 0.74); for conditions associated with influenza the correlation was for neumonía (Spanish for pneumonia, accented or unaccented) 2 weeks after the DILI (ρ = 0.84). The queries for varicela (Spanish for chickenpox) showed a maximum correlation (ρ = 0.96) 1 week after the declared illness, as observed by Pelat et al (). In conclusion, our study points out the utility of Internet queries for the surveillance of ILI and chickenpox in Spain. In the case of ILI, this information can be used as an early warning tool used complementarily to standard surveillance systems. More detailed studies are necessary regarding the usefulness and limitations of this tool in Spain, as well as in other contexts.
  1 in total

1.  More diseases tracked by using Google Trends.

Authors:  Camille Pelat; Clément Turbelin; Avner Bar-Hen; Antoine Flahault; Alain- Jacques Valleron
Journal:  Emerg Infect Dis       Date:  2009-08       Impact factor: 6.883

  1 in total
  17 in total

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6.  Using internet search queries for infectious disease surveillance: screening diseases for suitability.

Authors:  Gabriel J Milinovich; Simon M R Avril; Archie C A Clements; John S Brownstein; Shilu Tong; Wenbiao Hu
Journal:  BMC Infect Dis       Date:  2014-12-31       Impact factor: 3.090

7.  The use of google trends in health care research: a systematic review.

Authors:  Sudhakar V Nuti; Brian Wayda; Isuru Ranasinghe; Sisi Wang; Rachel P Dreyer; Serene I Chen; Karthik Murugiah
Journal:  PLoS One       Date:  2014-10-22       Impact factor: 3.240

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Authors:  Florian Rohart; Gabriel J Milinovich; Simon M R Avril; Kim-Anh Lê Cao; Shilu Tong; Wenbiao Hu
Journal:  Sci Rep       Date:  2016-12-20       Impact factor: 4.379

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Authors:  Min Kang; Haojie Zhong; Jianfeng He; Shannon Rutherford; Fen Yang
Journal:  PLoS One       Date:  2013-01-25       Impact factor: 3.240

10.  Discrepancies Between Classic and Digital Epidemiology in Searching for the Mayaro Virus: Preliminary Qualitative and Quantitative Analysis of Google Trends.

Authors:  Mohammad Adawi; Nicola Luigi Bragazzi; Abdulla Watad; Kassem Sharif; Howard Amital; Naim Mahroum
Journal:  JMIR Public Health Surveill       Date:  2017-12-01
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