This paper is in the following e-collection/theme issue:

JMIR Theme Issue: COVID-19 Special Issue (2392) Infodemiology and Infoveillance (1275) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1013) Outbreak and Pandemic Preparedness and Management (1678) Infectious Diseases (non-STD/STI) (1487) Digital Pain Assessment and Management (152)

Published on in Vol 23, No 4 (2021): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27214, first published .
Google Trends for Pain Search Terms in the World’s Most Populated Regions Before and After the First Recorded COVID-19 Case: Infodemiological Study

Google Trends for Pain Search Terms in the World’s Most Populated Regions Before and After the First Recorded COVID-19 Case: Infodemiological Study

Google Trends for Pain Search Terms in the World’s Most Populated Regions Before and After the First Recorded COVID-19 Case: Infodemiological Study

Authors of this article:

Istvan-Szilard Szilagyi1 Author Orcid Image ;   Torsten Ullrich2, 3 Author Orcid Image ;   Kordula Lang-Illievich1 Author Orcid Image ;   Christoph Klivinyi1 Author Orcid Image ;   Gregor Alexander Schittek1 Author Orcid Image ;   Holger Simonis4 Author Orcid Image ;   Helmar Bornemann-Cimenti1 Author Orcid Image
Article Authors Cited by (16) Tweetations (6) Metrics

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  2. Tabeeva G, Katsarava Z, Amelin A, Sergeev A, Skorobogatykh K, Efimenko I, Khoroshevskiy V. New in understanding the burden of migraine: semantic analysis of the voice of Russian patients – users of Web 2.0. Neurology, Neuropsychiatry, Psychosomatics 2021;13(6):73 View
  3. GÜNDÜZ BAŞÇIL S, MEŞE S. Determining the interest in pain and analgesic during and before the covid-19 pandemic period using google trends data: an infodemiological study. Journal of Contemporary Medicine 2022;12(6):949 View
  4. Shanthanna H, Nelson A, Kissoon N, Narouze S. The COVID‐19 pandemic and its consequences for chronic pain: a narrative review. Anaesthesia 2022;77(9):1039 View
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  6. Lang-Illievich K, Lang J, Szilagyi I, Ullrich T, Wagner-Skacel J, Repiská G, Bornemann-Cimenti H. The Internet’s Interest in Autism Peaks in April: A Google Trends Analysis. Journal of Autism and Developmental Disorders 2023;53(7):2915 View
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  8. Tudor C, Sova R. Infodemiological study on the impact of the COVID-19 pandemic on increased headache incidences at the world level. Scientific Reports 2022;12(1) View
  9. Lavin A, LeBlanc F, El Helou A. The impact of COVID-19 on chronic pain. Frontiers in Pain Research 2023;4 View
  10. Tudor C, Sova R. Mining Google Trends data for nowcasting and forecasting colorectal cancer (CRC) prevalence. PeerJ Computer Science 2023;9:e1518 View
  11. Yeung A, Parvanov E, Horbańczuk J, Kletecka-Pulker M, Kimberger O, Willschke H, Atanasov A. 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. Frontiers in Public Health 2023;11 View
  12. Akosman S, Tran E, Rosenberg S, Pakhchanian H, Raiker R, Belyea D. Patient Demand for Ophthalmologists in the United States: A Google Trends Analysis. Ophthalmic Epidemiology 2024;31(4):349 View
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  14. Botros J, Padilla M. Assessing the Public’s Interest in Orofacial Pain Specialists: A Google Trends Analysis. Journal of Oral Medicine and Pain 2023;48(4):137 View
  15. Fan Y, Liang X, Liu C. Causal relationship between COVID-19 and chronic pain: A mendelian randomization study. PLOS ONE 2024;19(1):e0295982 View