Evidence map›Paper›PMID 32530816›Full record

ArticleJournal of medical Internet research2020

Assessment of the Impact of Media Coverage on COVID-19-Related Google Trends Data: Infodemiology Study.

Bernardo Sousa-Pinto, Aram Anto, Wienia Czarlewski, Josep M Anto, João Almeida Fonseca, Jean Bousquet

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed
16.6field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

62 citing papers in PubMed, 134 citations in OpenAlex.

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  6. Google Trends and Syphilis.The Journal of clinical and aesthetic dermatology · 2024
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  16. Article
  17. Forecasting and Surveillance of COVID-19 Spread Using Google Trends: Literature Review.International journal of environmental research and public health · 2022
    Review
  18. Review
  19. Article
  20. Article

2 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 3 countries.

Bernardo Sousa-PintoDepartment of Community Medicine, Information and Health Decision Sciences, Faculty of Medicine, University of Porto, Porto, Portugal.ORCID 0000-0002-1277-3401
Aram AntoMASK-air, Montpellier, France.ORCID 0000-0001-8180-5481
Wienia CzarlewskiMASK-air, Montpellier, France.ORCID 0000-0002-6180-3232
Josep M AntoCentre for Research in Environmental Epidemiology, Barcelona Institute for Global Health, Barcelona, Spain.ORCID 0000-0002-4736-8529
João Almeida FonsecaDepartment of Community Medicine, Information and Health Decision Sciences, Faculty of Medicine, University of Porto, Porto, Portugal.ORCID 0000-0002-0887-8796
Jean BousquetCharité, Universitätsmedizin Berlin, Humboldt-Universität zu Berlin, Berlin, Germany.ORCID 0000-0002-4061-4766
Universidade do Porto · PTHumboldt-Universität zu Berlin · DEUniversitat Pompeu Fabra · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe influence of media coverage on web-based searches may hinder the role of Google Trends (GT) in monitoring coronavirus disease (COVID-19).

objectiveThe aim of this study was to assess whether COVID-19-related GT data, particularly those related to ageusia and anosmia, were primarily related to media coverage or to epidemic trends.

methodsWe retrieved GT query data for searches on coronavirus, cough, anosmia, and ageusia and plotted them over a period of 5 years. In addition, we analyzed the trends of those queries for 17 countries throughout the year 2020 with a particular focus on the rises and peaks of the searches. For anosmia and ageusia, we assessed whether the respective GT data correlated with COVID-19 cases and deaths both throughout 2020 and specifically before March 16, 2020 (ie, the date when the media started reporting that these symptoms can be associated with COVID-19).

resultsOver the last five years, peaks for coronavirus searches in GT were only observed during the winter of 2020. Rises and peaks in coronavirus searches appeared at similar times in the 17 different assessed countries irrespective of their epidemic situations. In 15 of these countries, rises in anosmia and ageusia searches occurred in the same week or 1 week after they were identified in the media as symptoms of COVID-19. When data prior to March 16, 2020 were analyzed, anosmia and ageusia GT data were found to have variable correlations with COVID-19 cases and deaths in the different countries.

conclusionsOur results indicate that COVID-19-related GT data are more closely related to media coverage than to epidemic trends.

Indexed as

BetacoronavirusCommunications MediaCoronavirus InfectionsPandemicsPneumonia, ViralCommunicationCOVID-19HumansSARS-CoV-2Search EnginecoronavirusCOVID-19Google Trendsinfodemicinfodemiologymediamedia coveragemonitoringpandemicsymptomtrend

Identifiers

PMID32530816
PMCPMC7423386
OpenAlexW3034255855

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.