Literature DB >> 33513563

The influence of mediatization and governmental policies on Google queries related to COVID-19 cutaneous symptoms: Infodemiology study.

Solene Huynh1, Tu Anh Duong1, Guillaume Lame2, Thomas Hubiche3, Khaled Ezzedine1.   

Abstract

BACKGROUND: During the COVID-19 pandemic, studies have described Internet searches for SARS-Cov-2 symptoms preceding their validation by the World Health Organization. This suggested that monitoring these searches through tools like Google Trends could help monitor the epidemic itself. In Europe and in North America, an unexpected outbreak of cutaneous acral lesions, e.g., chilblain-like lesions, was noted by dermatologists in April 2020. Some suggested that these symptoms could be tracked on Google Trends to monitor the epidemic. However, external factors such as public communications may also hinder Google Trends's role as an infodemiology tool.
OBJECTIVE: The study aimed to assess the impact of media announcements and lockdown enforcement on online searches related to cutaneous acral lesions during the COVID-19 outbreak in 2020.
METHODS: Two searches on Google Trends, including daily relative search volumes related to 1/ "toe" or "chilblains" and 2/ "coronavirus" were made from January 1st to May 16th, 2020 for the US, the UK, France, Italy, Spain, and Germany. The ratio of chilblains to coronavirus was plotted. To assess the impact of lockdown and media coverage, interrupted time-series analyses were performed for each country.
RESULTS: During that period, the ratio 'chilblains/coronavirus' searches showed a constant upward trend. In France, Italy, and the UK, the lockdown was associated with a significant slope change of chilblain searches with a coefficient value of 1.06  0.42, 1.04  0.28 and, 1.21  0.44 (p<0.01), respectively. After media announcement, a statistically significant increase was found in France, Spain, Italy, and the US with coefficient values of 18.95 5.77, 31.31  6.31, 14.57  6.33, 11.24  4.93 (p<0.01), followed by a statistically significant downward trend in France, Spain, and Italy (p<0.01). Adjusted R2 values were 0.311, 0.351, 0.325, 0.305 in France, Spain, Italy, and the US, in favor of an average correlation between time and search volume. The correlation was weak in Germany and the UK.
CONCLUSIONS: To date, chilblain-like lesions' association with COVID-19 remains controversial in the scientific community. In previous studies, Google Trends has been asserted to provide further evidence of that relation. However, chilblain-like queries on Google were highly influenced by mediatization and governmental policies, warranting caution when using Google Trends as a monitoring tool for emerging diseases.

Entities:  

Year:  2021        PMID: 33513563     DOI: 10.2196/25651

Source DB:  PubMed          Journal:  JMIR Public Health Surveill        ISSN: 2369-2960


  7 in total

1.  Influence of Mass Media on Italian Web Users During the COVID-19 Pandemic: Infodemiological Analysis.

Authors:  Alessandro Rovetta; Lucia Castaldo
Journal:  JMIRx Med       Date:  2021-10-18

2.  Understanding Health Communication Through Google Trends and News Coverage for COVID-19: Multinational Study in Eight Countries.

Authors:  Wai-Kit Ming; Fengqiu Huang; Qiuyi Chen; Beiting Liang; Aoao Jiao; Taoran Liu; Huailiang Wu; Babatunde Akinwunmi; Jia Li; Guan Liu; Casper J P Zhang; Jian Huang; Qian Liu
Journal:  JMIR Public Health Surveill       Date:  2021-12-21

3.  Online Information of COVID-19: Visibility and Characterization of Highest Positioned Websites by Google between March and April 2020-A Cross-Country Analysis.

Authors:  Anna Kłak; Jolanta Grygielska; Małgorzata Mańczak; Ewelina Ejchman-Pac; Jakub Owoc; Urszula Religioni; Robert Olszewski
Journal:  Int J Environ Res Public Health       Date:  2022-01-28       Impact factor: 3.390

4.  Online Search Behavior Related to COVID-19 Vaccines: Infodemiology Study.

Authors:  Lawrence An; Daniel M Russell; Rada Mihalcea; Elizabeth Bacon; Scott Huffman; Ken Resnicow
Journal:  JMIR Infodemiology       Date:  2021-11-12

5.  Associations between COVID-19 mobility restrictions and economic, mental health, and suicide-related concerns in the US using cellular phone GPS and Google search volume data.

Authors:  Catherine Gimbrone; Caroline Rutherford; Sasikiran Kandula; Gonzalo Martínez-Alés; Jeffrey Shaman; Mark Olfson; Madelyn S Gould; Sen Pei; Marta Galanti; Katherine M Keyes
Journal:  PLoS One       Date:  2021-12-22       Impact factor: 3.240

6.  The national burden of scabies in Germany: a population-based approach using Internet search engine data.

Authors:  Jing Wu; Linda Tizek; Melvin Rueth; Hannah Wecker; Alphina Kain; Tilo Biedermann; Alexander Zink
Journal:  Infection       Date:  2022-02-08       Impact factor: 7.455

Review 7.  Forecasting and Surveillance of COVID-19 Spread Using Google Trends: Literature Review.

Authors:  Tobias Saegner; Donatas Austys
Journal:  Int J Environ Res Public Health       Date:  2022-09-29       Impact factor: 4.614

  7 in total

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