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

Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1520) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (851) Infodemiology and Infoveillance (1369) JMIR Theme Issue: COVID-19 Special Issue (2461) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1050) Outbreak and Pandemic Preparedness and Management (1743)

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

Authors of this article:

Anjana Rajan1 Author Orcid Image ;   Ravi Sharaf1 Author Orcid Image ;   Robert S Brown1 Author Orcid Image ;   Reem Z Sharaiha1 Author Orcid Image ;   Benjamin Lebwohl2 Author Orcid Image ;   SriHari Mahadev1 Author Orcid Image
Article Authors Cited by (26) Tweetations Metrics

Journals

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  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
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  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
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  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
  25. Rovetta A. Google trends in infodemiology: Methodological steps to avoid irreproducible results and invalid conclusions. International Journal of Medical Informatics 2024;190:105563 View
  26. Aboalshamat K. Assessment of the Quality and Readability of Web-Based Arabic Health Information on Halitosis: Infodemiological Study. Journal of Medical Internet Research 2024;26:e54072 View