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“Dr. Google, I am in Pain”—Global Internet Searches Associated with Pain: A Retrospective Analysis of Google Trends Data

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  • Mikołaj Kamiński

    (Sanprobi Sp.z.o.o. Sp.K., 70-535 Szczecin, Poland
    Faculty of Medicine I, Poznan University of Medical Sciences, 60-780 Poznan, Poland)

  • Igor Łoniewski

    (Department of Biochemistry and Human Nutrition, Pomeranian Medical University, 70-204 Szczecin, Poland)

  • Wojciech Marlicz

    (Department of Gastroenterology, Pomeranian Medical University, 70-204 Szczecin, Poland)

Abstract

We aimed to rank the most common locations of pain among Google users globally and locally and analyze secular and seasonal trends in pain-related searches in the years 2004–2019. We used data generated by Google Trends (GT) to identify and analyze global interest in topics ( n = 24) related to locations of pain and how these progressed over time. We analyzed secular trends and time series decomposition to identify seasonal variations. We also calculated the interest in all topics with reference to the relative search volume (RSV) of “Abdominal pain”. Google users were most commonly interested in “Headache” (1.30 [times more frequently than “Abdominal pain”]), “Abdominal pain” (1.00), and “Back pain” (0.84). “Headache” was the most frequent search term in n = 41 countries, while “Abdominal pain” was the most frequent term in n = 27 countries. The interest in all pain-related topics except “Dyspareunia” increased over time. The sharpest increase was observed for “Abdominal pain” (5.67 RSV/year), and “Toothache” (5.52 RSV/year). Most of the topics revealed seasonal variations. Among pain-related topics, “Headache,” “Abdominal pain,” and “Back pain” interested most Google users. GT is a novel tool that allows retrospective investigation of complaints among Internet users.

Suggested Citation

  • Mikołaj Kamiński & Igor Łoniewski & Wojciech Marlicz, 2020. "“Dr. Google, I am in Pain”—Global Internet Searches Associated with Pain: A Retrospective Analysis of Google Trends Data," IJERPH, MDPI, vol. 17(3), pages 1-14, February.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:3:p:954-:d:316213
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    References listed on IDEAS

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    1. Siciliani, Luigi & Moran, Valerie & Borowitz, Michael, 2014. "Measuring and comparing health care waiting times in OECD countries," Health Policy, Elsevier, vol. 118(3), pages 292-303.
    2. Matheus Lotto & Patricia Estefania Ayala Aguirre & Daniela Rios & Maria Aparecida Andrade Moreira Machado & Agnes Fátima Pereira Cruvinel & Thiago Cruvinel, 2017. "Analysis of the interests of Google users on toothache information," PLOS ONE, Public Library of Science, vol. 12(10), pages 1-17, October.
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