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Association of the COVID-19 pandemic with Internet Search Volumes: A Google Trends(TM) Analysis

OBJECTIVES: To assess the association of public interest in coronavirus infections with the actual number of infected cases for selected countries across the globe. METHODS: We performed a Google Trends(TM) search for “Coronavirus” and compared Relative Search Volumes (RSV) indices to the number of...

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Autores principales: Effenberger, Maria, Kronbichler, Andreas, Shin, Jae Il, Mayer, Gert, Tilg, Herbert, Perco, Paul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier Ltd on behalf of International Society for Infectious Diseases. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7162745/
https://www.ncbi.nlm.nih.gov/pubmed/32305520
http://dx.doi.org/10.1016/j.ijid.2020.04.033
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author Effenberger, Maria
Kronbichler, Andreas
Shin, Jae Il
Mayer, Gert
Tilg, Herbert
Perco, Paul
author_facet Effenberger, Maria
Kronbichler, Andreas
Shin, Jae Il
Mayer, Gert
Tilg, Herbert
Perco, Paul
author_sort Effenberger, Maria
collection PubMed
description OBJECTIVES: To assess the association of public interest in coronavirus infections with the actual number of infected cases for selected countries across the globe. METHODS: We performed a Google Trends(TM) search for “Coronavirus” and compared Relative Search Volumes (RSV) indices to the number of reported COVID-19 cases by the European Center for Disease Control (ECDC) using time-lag correlation analysis. RESULTS: Worldwide public interest in Coronavirus reached its first peak end of January when numbers of newly infected patients started to increase exponentially in China. The worldwide Google Trends(TM) index reached its peak on the 12th of March 2020 at a time when numbers of infected patients started to increase in Europe and COVID-19 was declared a pandemic. At this time the general interest in China but also the Republic of Korea has already been significantly decreased as compared to end of January. Correlations between RSV indices and number of new COVID-19 cases were observed across all investigated countries with highest correlations observed with a time lag of −11.5 days, i.e. highest interest in coronavirus observed 11.5 days before the peak of newly infected cases. This pattern was very consistent across European countries but also holds true for the US. In Brazil and Australia, highest correlations were observed with a time lag of −7 days. In Egypt the highest correlation is given with a time lag of 0, potentially indicating that in this country, numbers of newly infected patients will increase exponentially within the course of April. CONCLUSIONS: Public interest indicated by RSV indices can help to monitor the progression of an outbreak such as the current COVID-19 pandemic. Public interest is on average highest 11.5 days before the peak of newly infected cases.
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spelling pubmed-71627452020-04-17 Association of the COVID-19 pandemic with Internet Search Volumes: A Google Trends(TM) Analysis Effenberger, Maria Kronbichler, Andreas Shin, Jae Il Mayer, Gert Tilg, Herbert Perco, Paul Int J Infect Dis Article OBJECTIVES: To assess the association of public interest in coronavirus infections with the actual number of infected cases for selected countries across the globe. METHODS: We performed a Google Trends(TM) search for “Coronavirus” and compared Relative Search Volumes (RSV) indices to the number of reported COVID-19 cases by the European Center for Disease Control (ECDC) using time-lag correlation analysis. RESULTS: Worldwide public interest in Coronavirus reached its first peak end of January when numbers of newly infected patients started to increase exponentially in China. The worldwide Google Trends(TM) index reached its peak on the 12th of March 2020 at a time when numbers of infected patients started to increase in Europe and COVID-19 was declared a pandemic. At this time the general interest in China but also the Republic of Korea has already been significantly decreased as compared to end of January. Correlations between RSV indices and number of new COVID-19 cases were observed across all investigated countries with highest correlations observed with a time lag of −11.5 days, i.e. highest interest in coronavirus observed 11.5 days before the peak of newly infected cases. This pattern was very consistent across European countries but also holds true for the US. In Brazil and Australia, highest correlations were observed with a time lag of −7 days. In Egypt the highest correlation is given with a time lag of 0, potentially indicating that in this country, numbers of newly infected patients will increase exponentially within the course of April. CONCLUSIONS: Public interest indicated by RSV indices can help to monitor the progression of an outbreak such as the current COVID-19 pandemic. Public interest is on average highest 11.5 days before the peak of newly infected cases. The Author(s). Published by Elsevier Ltd on behalf of International Society for Infectious Diseases. 2020-06 2020-04-17 /pmc/articles/PMC7162745/ /pubmed/32305520 http://dx.doi.org/10.1016/j.ijid.2020.04.033 Text en © 2020 The Author(s) Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Effenberger, Maria
Kronbichler, Andreas
Shin, Jae Il
Mayer, Gert
Tilg, Herbert
Perco, Paul
Association of the COVID-19 pandemic with Internet Search Volumes: A Google Trends(TM) Analysis
title Association of the COVID-19 pandemic with Internet Search Volumes: A Google Trends(TM) Analysis
title_full Association of the COVID-19 pandemic with Internet Search Volumes: A Google Trends(TM) Analysis
title_fullStr Association of the COVID-19 pandemic with Internet Search Volumes: A Google Trends(TM) Analysis
title_full_unstemmed Association of the COVID-19 pandemic with Internet Search Volumes: A Google Trends(TM) Analysis
title_short Association of the COVID-19 pandemic with Internet Search Volumes: A Google Trends(TM) Analysis
title_sort association of the covid-19 pandemic with internet search volumes: a google trends(tm) analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7162745/
https://www.ncbi.nlm.nih.gov/pubmed/32305520
http://dx.doi.org/10.1016/j.ijid.2020.04.033
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