Published on in Vol 6, No 3 (2020): Jul-Sep

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19354, first published .
Association of Search Query Interest in Gastrointestinal Symptoms With COVID-19 Diagnosis in the United States: Infodemiology Study

Association of Search Query Interest in Gastrointestinal Symptoms With COVID-19 Diagnosis in the United States: Infodemiology Study

Association of Search Query Interest in Gastrointestinal Symptoms With COVID-19 Diagnosis in the United States: Infodemiology Study

Journals

  1. Lu T, Reis B. Internet search patterns reveal clinical course of COVID-19 disease progression and pandemic spread across 32 countries. npj Digital Medicine 2021;4(1) View
  2. Roncon L, Zuin M, Barco S, Zuliani G, Konstantinides S. Increased interest in acute pulmonary embolism in Italy during the COVID-19 pandemic: a google trends-based analysis. Journal of Thrombosis and Thrombolysis 2021;52(1):92 View
  3. Al-Laith A, Alenezi M. Monitoring People’s Emotions and Symptoms from Arabic Tweets during the COVID-19 Pandemic. Information 2021;12(2):86 View
  4. Mirza E, Mirza G, Belviranli S, Oltulu R, Okka M. Ocular-symptoms-related Google Search Trends during the COVID-19 Pandemic in Europe. International Ophthalmology 2021;41(6):2213 View
  5. Asgari Mehrabadi M, Dutt N, Rahmani A. The Causality Inference of Public Interest in Restaurants and Bars on Daily COVID-19 Cases in the United States: Google Trends Analysis. JMIR Public Health and Surveillance 2021;7(4):e22880 View
  6. Rotter D, Doebler P, Schmitz F. Interests, Motives, and Psychological Burdens in Times of Crisis and Lockdown: Google Trends Analysis to Inform Policy Makers. Journal of Medical Internet Research 2021;23(6):e26385 View
  7. . Withdrawn: A data‐mining based analysis of traditional Chinese medicine in diagnosing and treating COVID ‐19. The Anatomical Record 2021 View
  8. Kardeş E, Kardeş S. Google searches for bruxism, teeth grinding, and teeth clenching during the COVID-19 pandemic. Journal of Orofacial Orthopedics / Fortschritte der Kieferorthopädie 2022;83(6):1 View
  9. Balsano C, Alisi A, Brunetto M, Invernizzi P, Burra P, Piscaglia F, Alvaro D, Bonino F, Carbone M, Faita F, Gerussi A, Persico M, Santini S, Zanetto A. The application of artificial intelligence in hepatology: A systematic review. Digestive and Liver Disease 2022;54(3):299 View
  10. SeyyedHosseini S, BasirianJahromi R. COVID-19 pandemic in the Middle East countries: coronavirus-seeking behavior versus coronavirus-related publications. Scientometrics 2021;126(9):7503 View
  11. Cinarka H, Uysal M, Cifter A, Niksarlioglu E, Çarkoğlu A. The relationship between Google search interest for pulmonary symptoms and COVID-19 cases using dynamic conditional correlation analysis. Scientific Reports 2021;11(1) View
  12. Saegner T, Austys D. Forecasting and Surveillance of COVID-19 Spread Using Google Trends: Literature Review. International Journal of Environmental Research and Public Health 2022;19(19):12394 View
  13. An L, Russell D, Mihalcea R, Bacon E, Huffman S, Resnicow K. Online Search Behavior Related to COVID-19 Vaccines: Infodemiology Study. JMIR Infodemiology 2021;1(1):e32127 View
  14. Yabe T, Tsubouchi K, Sekimoto Y, Ukkusuri S. Early warning of COVID-19 hotspots using human mobility and web search query data. Computers, Environment and Urban Systems 2022;92:101747 View
  15. Han Y, Yang Z, Fang S, Zhang M, Xie Z, Fan Y, Zhao T. Data‐mining‐based of ancient traditional Chinese medicine records from 475 BC to 1949 to potentially treat COVID‐19. The Anatomical Record 2023;306(12):2984 View
  16. Pakhchanian H, Raiker R, Kardeş S, Bilal M, Alam K, Khan A, Hutson W, Thakkar S, Singh S. Impact of COVID-19 on interest in hepato-pancreato-biliary diseases. Environmental Science and Pollution Research 2022;29(4):5771 View
  17. Lan R, Campana F, Tardivo D, Catherine J, Vergnes J, Hadj-Saïd M. Relationship between internet research data of oral neoplasms and public health programs in the European Union. BMC Oral Health 2021;21(1) View
  18. TİRGİL M, ÇULHA E, DEMİRCİ Ş. Google arama motoru Türkiye’de Covid-19 salgınının yayılımının izlenmesinde ve tahmininde kullanılabilir mi?. Mersin Üniversitesi Sağlık Bilimleri Dergisi 2021;14(3):520 View
  19. Zayed B, Talaia A, Gaaboobah M, Amer S, Mansour F. Google Trends as a predictive tool in the era of COVID-19: a scoping review. Postgraduate Medical Journal 2023;99(1175):962 View
  20. Aboalshamat K. Quality and readability of web-based information on dental caries in Arabic: an infodemiological study. BMC Oral Health 2023;23(1) View
  21. van Kessel R, Kyriopoulos I, Mastylak A, Mossialos E, Ayatollahi H. Changes in digital healthcare search behavior during the early months of the COVID-19 pandemic: A study of six English-speaking countries. PLOS Digital Health 2023;2(5):e0000241 View
  22. Melián-Fleitas L, Franco-Pérez Á, Sanz-Valero J, Wanden-Berghe C. Population Interest in Information on Obesity, Nutrition, and Occupational Health and Its Relationship with the Prevalence of Obesity: An Infodemiological Study. Nutrients 2023;15(17):3773 View
  23. Wang L, Liu Y, Chen H, Qiu S, Liu Y, Yang M, Du X, Li Z, Hao R, Tian H, Song H. Search-engine-based surveillance using artificial intelligence for early detection of coronavirus disease outbreak. Journal of Big Data 2023;10(1) View
  24. Clark E, Neumann S, Hopkins S, Kostopoulos A, Hagerman L, Dobbins M. Changes to Public Health Surveillance Methods Due to the COVID-19 Pandemic: Scoping Review. JMIR Public Health and Surveillance 2024;10:e49185 View