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

被引:158
作者
Effenberger, Maria [1 ]
Kronbichler, Andreas [2 ]
Shin, Jae Il [3 ,4 ,5 ]
Mayer, Gert [2 ]
Tilg, Herbert [1 ]
Perco, Paul [2 ]
机构
[1] Med Univ Innsbruck, Dept Internal Med Gastroenterol Hepatol Endocrino, Anichstr 35, A-6020 Innsbruck, Austria
[2] Med Univ Innsbruck, Dept Internal Med Nephrol & Hypertens 4, Anichstr 35, A-6020 Innsbruck, Austria
[3] Yonsei Univ, Coll Med, Dept Pediat, Seoul, South Korea
[4] Severance Childrens Hosp, Dept Pediat Nephrol, Seoul, South Korea
[5] Yonsei Univ, Coll Med, Inst Kidney Dis Res, Seoul, South Korea
关键词
Public awareness; COVID-19; Coronavirus; Google Trends; SARS-CoV-2; OUTBREAK;
D O I
10.1016/j.ijid.2020.04.033
中图分类号
R51 [传染病];
学科分类号
100401 ;
摘要
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. (C) 2020 The Author(s). Published by Elsevier Ltd on behalf of International Society for Infectious Diseases.
引用
收藏
页码:192 / 197
页数:6
相关论文
共 23 条
  • [1] Google Trends: Opportunities and limitations in health and health policy research
    Arora, Vishal S.
    McKee, Martin
    Stuckler, David
    [J]. HEALTH POLICY, 2019, 123 (03) : 338 - 341
  • [2] The Validity of Google Trends Search Volumes for Behavioral Forecasting of National Suicide Rates in Ireland
    Barros, Joana M.
    Melia, Ruth
    Francis, Kady
    Bogue, John
    O'Sullivan, Mary
    Young, Karen
    Bernert, Rebecca A.
    Rebholz-Schuhmann, Dietrich
    Duggan, Jim
    [J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2019, 16 (17)
  • [3] Severe Respiratory Disease Concurrent with the Circulation of H1N1 Influenza
    Chowell, Gerardo
    Bertozzi, Stefano M.
    Colchero, M. Arantxa
    Lopez-Gatell, Hugo
    Alpuche-Aranda, Celia
    Hernandez, Mauricio
    Miller, Mark A.
    [J]. NEW ENGLAND JOURNAL OF MEDICINE, 2009, 361 (07) : 674 - 679
  • [4] Characterizing Ebola Transmission Patterns Based on Internet News Reports
    Cleaton, Julie M.
    Viboud, Cecile
    Simonsen, Lone
    Hurtado, Ana M.
    Chowell, Gerardo
    [J]. CLINICAL INFECTIOUS DISEASES, 2016, 62 (01) : 24 - 31
  • [5] Cook S, 2011, PLOS ONE, V6, DOI [10.1371/journal.pone.0023610, 10.1371/journal.pone.0025407]
  • [6] Infodemiology and Infoveillance: Framework for an Emerging Set of Public Health Informatics Methods to Analyze Search, Communication and Publication Behavior on the Internet
    Eysenbach, Gunther
    [J]. JOURNAL OF MEDICAL INTERNET RESEARCH, 2009, 11 (01)
  • [7] COVID-19: what is next for public health?
    Heymann, David L.
    Shindo, Nahoko
    Bedford, Juliet
    Enria, Delia
    Giesecke, Johan
    Heymann, David
    Ihekweazu, Chikwe
    Kobinger, Gary
    Lane, Clifford
    Memish, Ziad
    Myoung-don, Oh
    Sall, Amadou Alpha
    Ungchusak, Kum
    Wieler, Lothar
    [J]. LANCET, 2020, 395 (10224) : 542 - 545
  • [8] Correlation between Google Trends on dengue fever and national surveillance report in Indonesia
    Husnayain, Atina
    Fuad, Anis
    Lazuardi, Lutfan
    [J]. GLOBAL HEALTH ACTION, 2019, 12 (01):
  • [9] Using Google Trends to assess global public interest in osteoarthritis
    Jellison, Samuel S.
    Bibens, Michael
    Checketts, Jake
    Vassar, Matt
    [J]. RHEUMATOLOGY INTERNATIONAL, 2018, 38 (11) : 2133 - 2136
  • [10] Ten years of research change using Google Trends: From the perspective of big data utilizations and applications
    Jun, Seung-Pyo
    Yoo, Hyoung Sun
    Choi, San
    [J]. TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2018, 130 : 69 - 87