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Estimating County-Level Overdose Rates Using Opioid-Related Twitter Data: Interdisciplinary Infodemiology Study.

Raphael E CuomoVidya PurushothamanAlec J CalacTiana J McMannZhuoran LiTimothy K Mackey
Published in: JMIR formative research (2023)
Social media data, when transformed using certain statistical approaches, may add utility to the goal of producing closer to real-time county-level estimates of overdose mortality. Prediction of opioid-related outcomes can be advanced to inform prevention and treatment decisions. This interdisciplinary approach can facilitate evidence-based funding decisions for various substance use disorder prevention and treatment programs.
Keyphrases
  • social media
  • chronic pain
  • health information
  • electronic health record
  • public health
  • big data
  • cardiovascular events
  • metabolic syndrome
  • coronary artery disease
  • weight loss
  • artificial intelligence