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Article: Public interest in different types of masks and its relationship with pandemic and policy measures during the COVID-19 pandemic: a study using Google Trends data

TitlePublic interest in different types of masks and its relationship with pandemic and policy measures during the COVID-19 pandemic: a study using Google Trends data
Authors
KeywordsCoronavirus
COVID-19
digital health
face mask
pandemic
public health
SARS-CoV-2
surveillance
Issue Date8-Jun-2023
PublisherFrontiers Media
Citation
Frontiers in Public Health, 2023, v. 11 How to Cite?
Abstract

Google Trends data have been used to investigate various themes on online information seeking. It was unclear if the population from different parts of the world shared the same amount of attention to different mask types during the COVID-19 pandemic. This study aimed to reveal which types of masks were frequently searched by the public in different countries, and evaluated if public attention to masks could be related to mandatory policy, stringency of the policy, and transmission rate of COVID-19. By referring to an open dataset hosted at the online database Our World in Data, the 10 countries with the highest total number of COVID-19 cases as of 9th of February 2022 were identified. For each of these countries, the weekly new cases per million population, reproduction rate (of COVID-19), stringency index, and face covering policy score were computed from the raw daily data. Google Trends were queried to extract the relative search volume (RSV) for different types of masks from each of these countries. Results found that Google searches for N95 masks were predominant in India, whereas surgical masks were predominant in Russia, FFP2 masks were predominant in Spain, and cloth masks were predominant in both France and United Kingdom. The United States, Brazil, Germany, and Turkey had two predominant types of mask. The online searching behavior for masks markedly varied across countries. For most of the surveyed countries, the online searching for masks peaked during the first wave of COVID-19 pandemic before the government implemented mandatory mask wearing. The search for masks positively correlated with the government response stringency index but not with the COVID-19 reproduction rate or the new cases per million.


Persistent Identifierhttp://hdl.handle.net/10722/329042
ISSN
2023 Impact Factor: 3.0
2023 SCImago Journal Rankings: 0.895
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorYeung, Andy Wai Kan-
dc.contributor.authorParvanov, Emil D-
dc.contributor.authorHorbańczuk, Jarosław Olav-
dc.contributor.authorKletecka-Pulker, Maria-
dc.contributor.authorKimberger, Oliver-
dc.contributor.authorWillschke, Harald-
dc.contributor.authorAtanasov, Atanas G-
dc.date.accessioned2023-08-05T07:54:50Z-
dc.date.available2023-08-05T07:54:50Z-
dc.date.issued2023-06-08-
dc.identifier.citationFrontiers in Public Health, 2023, v. 11-
dc.identifier.issn2296-2565-
dc.identifier.urihttp://hdl.handle.net/10722/329042-
dc.description.abstract<p>Google Trends data have been used to investigate various themes on online information seeking. It was unclear if the population from different parts of the world shared the same amount of attention to different mask types during the COVID-19 pandemic. This study aimed to reveal which types of masks were frequently searched by the public in different countries, and evaluated if public attention to masks could be related to mandatory policy, stringency of the policy, and transmission rate of COVID-19. By referring to an open dataset hosted at the online database Our World in Data, the 10 countries with the highest total number of COVID-19 cases as of 9th of February 2022 were identified. For each of these countries, the weekly new cases per million population, reproduction rate (of COVID-19), stringency index, and face covering policy score were computed from the raw daily data. Google Trends were queried to extract the relative search volume (RSV) for different types of masks from each of these countries. Results found that Google searches for N95 masks were predominant in India, whereas surgical masks were predominant in Russia, FFP2 masks were predominant in Spain, and cloth masks were predominant in both France and United Kingdom. The United States, Brazil, Germany, and Turkey had two predominant types of mask. The online searching behavior for masks markedly varied across countries. For most of the surveyed countries, the online searching for masks peaked during the first wave of COVID-19 pandemic before the government implemented mandatory mask wearing. The search for masks positively correlated with the government response stringency index but not with the COVID-19 reproduction rate or the new cases per million.<br></p>-
dc.languageeng-
dc.publisherFrontiers Media-
dc.relation.ispartofFrontiers in Public Health-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectCoronavirus-
dc.subjectCOVID-19-
dc.subjectdigital health-
dc.subjectface mask-
dc.subjectpandemic-
dc.subjectpublic health-
dc.subjectSARS-CoV-2-
dc.subjectsurveillance-
dc.titlePublic interest in different types of masks and its relationship with pandemic and policy measures during the COVID-19 pandemic: a study using Google Trends data-
dc.typeArticle-
dc.identifier.doi10.3389/fpubh.2023.1010674-
dc.identifier.scopuseid_2-s2.0-85162700712-
dc.identifier.volume11-
dc.identifier.eissn2296-2565-
dc.identifier.isiWOS:001010219800001-
dc.identifier.issnl2296-2565-

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