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Online behavioural patterns for Coronavirus disease 2019 (COVID-19) in the United Kingdom
The current coronavirus (COVID-19) pandemic offers a unique opportunity to conduct an infodemiological study examining patterns in online searching activity about a specific disease and how this relates to news media within a specific country. Google Trends quantifies volumes of online activity. The...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7306408/ https://www.ncbi.nlm.nih.gov/pubmed/32498731 http://dx.doi.org/10.1017/S0950268820001193 |
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author | Walker, M. D. Sulyok, M. |
author_facet | Walker, M. D. Sulyok, M. |
author_sort | Walker, M. D. |
collection | PubMed |
description | The current coronavirus (COVID-19) pandemic offers a unique opportunity to conduct an infodemiological study examining patterns in online searching activity about a specific disease and how this relates to news media within a specific country. Google Trends quantifies volumes of online activity. The relative search volume was obtained for ‘Coronavirus’, ‘handwashing’, ‘face mask’ and symptom related keywords, for the United Kingdom, from the date of the first confirmed case until numbers peaked in April. The relationship between online search traffic and confirmed case numbers was examined. Search volumes varied over time; peaks appear related to events in the progression of the epidemic which were reported in the media. Search activity on ‘Coronavirus’ correlated well against confirmed case number as did ‘face mask’ and symptom-related keywords. User-generated online data sources such as Google Trends may aid disease surveillance, being more responsive to changes in disease occurrence than traditional disease reporting. The relationship between media coverage and online searching activity is rarely examined, but may be driving online behavioural patterns. |
format | Online Article Text |
id | pubmed-7306408 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-73064082020-06-22 Online behavioural patterns for Coronavirus disease 2019 (COVID-19) in the United Kingdom Walker, M. D. Sulyok, M. Epidemiol Infect Short Paper The current coronavirus (COVID-19) pandemic offers a unique opportunity to conduct an infodemiological study examining patterns in online searching activity about a specific disease and how this relates to news media within a specific country. Google Trends quantifies volumes of online activity. The relative search volume was obtained for ‘Coronavirus’, ‘handwashing’, ‘face mask’ and symptom related keywords, for the United Kingdom, from the date of the first confirmed case until numbers peaked in April. The relationship between online search traffic and confirmed case numbers was examined. Search volumes varied over time; peaks appear related to events in the progression of the epidemic which were reported in the media. Search activity on ‘Coronavirus’ correlated well against confirmed case number as did ‘face mask’ and symptom-related keywords. User-generated online data sources such as Google Trends may aid disease surveillance, being more responsive to changes in disease occurrence than traditional disease reporting. The relationship between media coverage and online searching activity is rarely examined, but may be driving online behavioural patterns. Cambridge University Press 2020-06-05 /pmc/articles/PMC7306408/ /pubmed/32498731 http://dx.doi.org/10.1017/S0950268820001193 Text en © The Author(s) 2020 http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Short Paper Walker, M. D. Sulyok, M. Online behavioural patterns for Coronavirus disease 2019 (COVID-19) in the United Kingdom |
title | Online behavioural patterns for Coronavirus disease 2019 (COVID-19) in the United Kingdom |
title_full | Online behavioural patterns for Coronavirus disease 2019 (COVID-19) in the United Kingdom |
title_fullStr | Online behavioural patterns for Coronavirus disease 2019 (COVID-19) in the United Kingdom |
title_full_unstemmed | Online behavioural patterns for Coronavirus disease 2019 (COVID-19) in the United Kingdom |
title_short | Online behavioural patterns for Coronavirus disease 2019 (COVID-19) in the United Kingdom |
title_sort | online behavioural patterns for coronavirus disease 2019 (covid-19) in the united kingdom |
topic | Short Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7306408/ https://www.ncbi.nlm.nih.gov/pubmed/32498731 http://dx.doi.org/10.1017/S0950268820001193 |
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