Use of Large Language Models to Assess the Likelihood of Epidemics From the Content of Tweets: Infodemiology Study

Michael S Deiner   ^{1, 2} , PhD ;   Natalie A Deiner   ³ ;   Vagelis Hristidis   ⁴ , PhD ;   Stephen D McLeod   ^{1, 2, 5} , MD ;   Thuy Doan   ^{1, 2, 6} , MD, PhD ;   Thomas M Lietman   ^{1, 2, 6} , MD ;   Travis C Porco   ^{1, 2, 6} , MPH, PhD

¹ Department of Ophthalmology, University of California, San Francisco, San Francisco, CA, United States

² Francis I. Proctor Foundation for Research in Ophthalmology, University of California, San Francisco, San Francisco, CA, United States

³ College of Letters and Science, University of California, Santa Barbara, Santa Barbara, CA, United States

⁴ Department of Computer Science and Engineering, University of California, Riverside, Riverside, CA, United States

⁵ American Academy of Ophthalmology, San Francisco, CA, United States

⁶ Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, United States