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Tejus Pradeep, Advaitaa Ravipati, Samyuktha Melachuri & Roxana Fu. (2023) More than just a stye: identifying seasonal patterns using google trends, and a review of infodemiological literature in ophthalmology. Orbit 42:2, pages 130-137.
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O Martin Williams, Fergus Hamilton & Richard Brindle. (2023) The Natural History of Antibiotic-Treated Lower Limb Cellulitis: Analysis of Data Extracted From a Multicenter Clinical Trial. Open Forum Infectious Diseases 10:10.
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Zachary D.W. Dezman, Daniel Lemkin, Art Papier & Brian Browne. (2023) The impact of a point‐of‐care visual clinical decision support tool on admissions for cellulitis in the University of Maryland medical system. Journal of the American College of Emergency Physicians Open 4:3.
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Seok-Min Hwang, Seok Kim & Suk-Hyun Hwang. (2022) Seasonal Variation for Plantar Fasciitis: Evidence from Google Trends Search Query Data. Healthcare 10:9, pages 1676.
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Robert Marcec, Josip Stjepanovic & Robert Likic. (2022) Seasonality of Hashimoto Thyroiditis: Infodemiology Study of Google Trends Data. JMIR Bioinformatics and Biotechnology 3:1, pages e38976.
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Joan C. Timoneda & Erik Wibbels. (2021) Spikes and Variance: Using Google Trends to Detect and Forecast Protests. Political Analysis 30:1, pages 1-18.
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Shyamasree Ghosh & Rathi DasguptaShyamasree Ghosh & Rathi Dasgupta. 2022. Machine Learning in Biological Sciences. Machine Learning in Biological Sciences
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Romain Lan, Fabrice Campana, Delphine Tardivo, Jean-Hugues Catherine, Jean-Noel Vergnes & Mehdi Hadj-Saïd. (2021) Relationship between internet research data of oral neoplasms and public health programs in the European Union. BMC Oral Health 21:1.
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Joan C. Timoneda & Sebastián Vallejo Vera. (2021) Will I die of coronavirus? Google Trends data reveal that politics determine virus fears. PLOS ONE 16:10, pages e0258189.
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Lei Liu, Peng Wang, Su-Qin Jiang, Zi-Rong Zhong, Ting-Zheng Zhan, Zi-Yin Yang, Ya-Nan Zhang, Chen Li, Jing Xu & Chao-Ming Xia. (2021)
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Faris F. Brkic, Gerold Besser, Stefan Janik, Anselm J. Gadenstaetter, Thomas Parzefall, Dominik Riss & David T. Liu. (2020) Peaks in online inquiries into pharyngitis-related symptoms correspond with annual incidence rates. European Archives of Oto-Rhino-Laryngology 278:5, pages 1653-1660.
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Gabriele De Luca. (2021) Modelling Societal Knowledge in the Health Sector: Machine Learning and Google Trends. Journal of Innovation Economics & Management n° 35:2, pages 105-129.
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Jacopo Ciaffi, Riccardo Meliconi, Maria Paola Landini, Luana Mancarella, Veronica Brusi, Cesare Faldini & Francesco Ursini. (2021) Seasonality of Back Pain in Italy: An Infodemiology Study. International Journal of Environmental Research and Public Health 18:3, pages 1325.
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Haddon J. Pantel, David A. Kleiman, Angela H. Kuhnen, Peter W. Marcello, Caitlin Stafford & Rocco Ricciardi. (2020) Has National Colorectal Cancer Awareness Month increased endoscopy screening rates and public interest in colorectal cancer?. Surgical Endoscopy 35:1, pages 398-405.
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Dingtao Hu, Xiaoqi Lou, Zhiwei Xu, Nana Meng, Qiaomei Xie, Man Zhang, Yanfeng Zou, Jiatao Liu, Guoping Sun & Fang Wang. (2020) More effective strategies are required to strengthen public awareness of COVID-19: Evidence from Google Trends. Journal of Global Health 10:1.
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Richard J. Brindle, Louise A. O’Neill & O. Martin Williams. (2020) Risk, Prevention, Diagnosis, and Management of Cellulitis and Erysipelas. Current Dermatology Reports 9:1, pages 73-82.
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Artur Strzelecki. (2020) Google Medical Update: Why Is the Search Engine Decreasing Visibility of Health and Medical Information Websites?. International Journal of Environmental Research and Public Health 17:4, pages 1160.
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Anna Boehm, Alex Pizzini, Thomas Sonnweber, Judith Loeffler-Ragg, Claudia Lamina, Guenter Weiss & Ivan Tancevski. (2019) Using Google Trends to investigate global COPD awareness. European Respiratory Journal 54:2, pages 1901339.
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Sinan Kardeş. (2019) Seasonal variation in the internet searches for psoriasis. Archives of Dermatological Research 311:6, pages 461-467.
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Sinan Kardeş & Elif Kardeş. (2019) Seasonality of bruxism: evidence from Google Trends. Sleep and Breathing 23:2, pages 695-701.
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Sinan Kardeş. (2018) Seasonal variation in the internet searches for gout: an ecological study. Clinical Rheumatology 38:3, pages 769-775.
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Máté Kapitány‐Fövény, Tamás Ferenci, Zita Sulyok, Josua Kegele, Hardy Richter, István Vályi‐Nagy & Mihály Sulyok. (2018) Can Google Trends data improve forecasting of Lyme disease incidence?. Zoonoses and Public Health 66:1, pages 101-107.
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Dorota Jegorow. (2018) IDENTYFIKACJA ZAINTERESOWANIA DOTACJAMI JAKO ZJAWISKA SEZONOWEGO. Metody Ilościowe w Badaniach Ekonomicznych 19:2, pages 140-150.
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Hyeoun-Ae ParkHyesil Jung, Jeongah OnSeul Ki ParkHannah Kang. (2018) Digital Epidemiology: Use of Digital Data Collected for Non-epidemiological Purposes in Epidemiological Studies. Healthcare Informatics Research 24:4, pages 253.
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