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Use of Large Language Models to Classify Epidemiological Characteristics in Synthetic and Real-World Social Media Posts About Conjunctivitis Outbreaks: Infodemiology Study

Use of Large Language Models to Classify Epidemiological Characteristics in Synthetic and Real-World Social Media Posts About Conjunctivitis Outbreaks: Infodemiology Study

If there is content about drugs or drug usage (i.e. smoking weed, pot, marijuana, a joint, a bowl, a bong), getting high, sparking up, other slang terms like \“Mary Jane\”, \“bud\”, \“ganga\”, \“reefer\”, \“chronic\”, \“herb\”, \“spliff\”, \“roach\”, \“a j\”) then consider the type of outbreak as \“environmental - drugs\”. If you determine that the cause is infectious, please also tell us whether it is viral or bacterial.

Michael S Deiner, Russell Y Deiner, Cherie Fathy, Natalie A Deiner, Vagelis Hristidis, Stephen D McLeod, Thomas J Bukowski, Thuy Doan, Gerami D Seitzman, Thomas M Lietman, Travis C Porco

J Med Internet Res 2025;27:e65226

Research Dissemination Strategies in Pediatric Emergency Care Using a Professional Twitter (X) Account: A Mixed Methods Developmental Study of a Logic Model Framework

Research Dissemination Strategies in Pediatric Emergency Care Using a Professional Twitter (X) Account: A Mixed Methods Developmental Study of a Logic Model Framework

development (R) Acquisition of external graphics designer (G) Selection of software and metrics (J) Learning to work with existing technologies for scheduling and publishing (AF) Sudden unexpected team member change (U) Outputs Extracting key teaching points from top PECARN articles into tweet (X) Tweet frequency established at the same time each week (3 times per week) (AH) Tweet visual structure: Intentional or strategic polls, emojis, bullet points, and multimedia such as images and videos (AA, AB, AC, C,

Gwendolyn C Hooley, Julia N Magana, Jason M Woods, Shyam Sivasankar, Lauren VonHoltz, Anita R Schmidt, Todd P Chang, Michelle Lin

JMIR Form Res 2025;9:e59481