Evidence map›Paper›PMID 39626237›Full record

ArticleOnline journal of public health informatics2024

Google Trends Assessment of Keywords Related to Smoking and Smoking Cessation During the COVID-19 Pandemic in 4 European Countries: Retrospective Analysis.

Tobias Jagomast, Jule Finck, Imke Tangemann-Münstedt, Katharina Auth, Daniel Drömann, Klaas F Franzen

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Article in Online journal of public health informatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Tobias Jagomast *Medical Clinic III, University of Lübeck, Lübeck, Germany.ORCID https://orcid.org/0009-0007-4811-9704
Jule Finck *Medical Clinic III, University of Lübeck, Lübeck, Germany.ORCID https://orcid.org/0000-0003-2536-8875
Imke Tangemann-MünstedtMedical Clinic III, University of Lübeck, Lübeck, Germany.ORCID https://orcid.org/0009-0001-5317-902X
Katharina AuthMedical Clinic III, University of Lübeck, Lübeck, Germany.ORCID https://orcid.org/0009-0002-8079-0745
Daniel DrömannMedical Clinic III, University of Lübeck, Lübeck, Germany.ORCID https://orcid.org/0000-0002-5878-8887
Klaas F FranzenMedical Clinic III, University of Lübeck, Lübeck, Germany.ORCID https://orcid.org/0000-0002-3882-2662

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSmoking is a modifiable risk factor for SARS-CoV-2 infection. Evidence of smoking behavior during the pandemic is ambiguous. Most investigations report an increase in smoking. In this context, Google Trends data monitor real-time public information-seeking behavior and are therefore useful to characterize smoking-related interest over the trajectory of the pandemic.

objectiveThis study aimed to use Google Trends data to evaluate the effect of the pandemic on public interest in smoking-related topics with a focus on lockdowns, vaccination campaigns, and incidence.

methodsThe weekly relative search volume was retrieved from Google Trends for England, Germany, Italy, and Spain from December 31, 2017, to April 18, 2021. Data were collected for keywords concerning consumption, cessation, and treatment. The relative search volume before and during the pandemic was compared, and general trends were evaluated using the Wilcoxon rank-sum test. Short-term changes and hereby temporal clusters linked to lockdowns or vaccination campaigns were addressed by the flexible spatial scan statistics proposed by Takahashi and colleagues. Subsequently, the numbers of clusters after the onset of the pandemic were compared by chi-square test.

resultsCountry-wise minor differences were observed while 3 overarching trends prevailed. First, regarding cessation, the statistical comparison revealed a significant decline in interest for 58% (7/12) of related keywords, and fewer clusters were present during the pandemic. Second, concerning consumption, significantly reduced relative search volume was observed for 58% (7/12) of keywords, while treatment-related keywords exhibited heterogeneous trends. Third, substantial clusters of increased interest were sparsely linked to lockdowns, vaccination campaigns, or incidence.

conclusionsThis study reports a substantial decline in overall relative search volume and clusters for cessation interest. These results underline the importance of intensifying cessation aid during times of crisis. Lockdowns, vaccination, and incidence had less impact on information-seeking behavior. Other public measures that positively affect smoking behavior remain to be determined.

Indexed as

addictioncessationclustercoronavirusCOVID-19EuropeGoogle Trendsincidenceinternetlockdownonlinepandemicspublic healthpublic interestquitrelative search volumeSARS-CoV-2searchsmokingsmoking cessationspreadtobacco productstrendvaccination

Identifiers

PMID39626237
PMCPMC11653046

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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.