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JMIR Public Health and Surveillance|May 4, 2018
Monitoring Interest in Herpes Zoster Vaccination: Analysis of Google Search DataElyse J Berlinberg, Michael S Deiner, Travis C Porco, et al.JAMA Ophthalmology|July 15, 2016
Surveillance Tools Emerging From Search Engines and Social Media Data for Determining Eye Disease PatternsMichael S Deiner, Thomas M Lietman, Stephen D McLeod, et al.JMIR Infodemiology|August 29, 2024
Large Language Models Can Enable Inductive Thematic Analysis of a Social Media Corpus in a Single Prompt: Human Validation StudyMichael S Deiner, Vlad Honcharov, Jiawei Li, et al.Journal of Clinical Virology : the Official Publication of the Pan American Society for Clinical Virology|March 11, 2020
Seasonality of herpes zoster and herpes zoster ophthalmicusElyse J Berlinberg, Eric Kim, Michael S Deiner, et al.Medrxiv : the Preprint Server for Health Sciences|November 24, 2025
Spread of the plague in Venice, 1630-1631: epidemic entropy in a "natural experiment"Jonathan L Hwang, Ariktha Srivathsan, Michael S Deiner, et al.Ophthalmology|April 15, 2019
Google Searches and Detection of Conjunctivitis Epidemics WorldwideMichael S Deiner, Stephen D McLeod, Jessica Wong, et al.Plos Neglected Tropical Diseases|October 9, 2018
Identifying a sufficient core group for trachoma transmissionThomas M Lietman, Michael S Deiner, Catherine E Oldenburg, et al.JMIR Infodemiology|March 24, 2022
Sustained Reductions in Online Search Interest for Communicable Eye and Other Conditions During the COVID-19 Pandemic: Infodemiology StudyMichael S Deiner, Gerami D Seitzman, Gurbani Kaur, et al.International Health|August 19, 2021
Keeping an eye on pink eye: a global conjunctivitis outbreak expert surveyGurbani Kaur, Gerami D Seitzman, Thomas M Lietman, et al.Journal of Medical Internet Research|March 1, 2024
Use of Large Language Models to Assess the Likelihood of Epidemics From the Content of Tweets: Infodemiology StudyMichael S Deiner, Natalie A Deiner, Vagelis Hristidis, et al.Pageof 3