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Analysis of Wastewater Samples to Explore Community Substance Use in the United States: Pilot Correlative and Machine Learning Study.

Marie A SeversonSathaporn OnanongAlexandra DolezalShannon L Bartelt-HuntDaniel D SnowLisa M McFadden
Published in: JMIR formative research (2023)
These findings suggest that wastewater-based surveillance has the potential to become an effective form of surveillance for substance use. Further, advanced analytical techniques may help uncover geographical patterns and detect communities with similar needs for resources to address substance use disorders. Using automated analytics, these advanced surveillance techniques may help communities develop timely, tailored treatment and prevention efforts.
Keyphrases
  • machine learning
  • public health
  • big data
  • wastewater treatment
  • healthcare
  • mental health
  • anaerobic digestion
  • artificial intelligence
  • high throughput
  • study protocol
  • quality improvement
  • liquid chromatography