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

JMIR Theme Issue: COVID-19 Special Issue (2556) Infodemiology and Infoveillance (1565) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1142) Outbreak and Pandemic Preparedness and Management (1829) Infectious Diseases (non-STD/STI) (1728) Digital Pain Assessment and Management (234)

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 (21) Tweetations (5) Metrics

Journals

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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
  5. Aluko B, Mitchell A, Tumin D, Zeldin E. Nation-wide decrease in the prevalence of pediatric chronic pain during the COVID-19 pandemic. Scandinavian Journal of Pain 2023;23(3):608 View
  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
  7. Tudor C. A Novel Approach to Modeling and Forecasting Cancer Incidence and Mortality Rates through Web Queries and Automated Forecasting Algorithms: Evidence from Romania. Biology 2022;11(6):857 View
  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
  13. Szilagyi I, Eggeling E, Bornemann-Cimenti H, Ullrich T. Impact of the pandemic and its containment measures in Europe upon aspects of affective impairments: a Google Trends informetrics study. Psychological Medicine 2023;53(16):7685 View
  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
  16. Rao A, Sharma G, Pereira V, Shahzad U, Jabeen F. Analyzing Cyberchondriac Google Trends Data to Forecast Waves and Avoid Friction: Lessons From COVID-19 in India. IEEE Transactions on Engineering Management 2024;71:12960 View
  17. Ozduran E, Akkoc I, Büyükçoban S, Erkin Y, Hanci V. Readability, reliability and quality of responses generated by ChatGPT, gemini, and perplexity for the most frequently asked questions about pain. Medicine 2025;104(11):e41780 View
  18. Güneş G, Sadık E, Ünal Erzurumlu Z. "Dr. Google, I Have a Toothache"- Assessment of the Impact of COVID-19 Pandemic on Toothache-Related Internet Searches with Google Trends Data. Current Research in Dental Sciences 2025;35(2):117 View
  19. Stańdo J, Fechner Ż, Kocot-Kępska M. Use of Google Trends to investigate “Pain” Searches Over 24 Hours. Pain Management Nursing 2025;26(6):e524 View
  20. Zhu Y, Hu X, Wang X, Li S, Wang P, Pan H. Seasonal pattern, global search trend, and public interest in arthritis from 2004 to 2022: an infodemiology study. Immunologic Research 2025;73(1) View

Conference Proceedings

  1. Li M, Serbicki E, Sun Y. Advanced Information Technologies and Applications. SmartYoutuber: A Data-driven Analytical Platform to Improve the Subscriber Growth and Sustainability using Artificial Intelligence and Big Data Analysis View