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Successful Community Nutrition Incentive Program Data Collection during the COVID-19 Pandemic: A Case Study.

Sarah A StotzHollyanne FrickeCameron PerraCarmen Byker-ShanksAmy L Yaroch
Published in: Current developments in nutrition (2022)
These findings provide guidance on how alternative methods for data collection during COVID-19 can be used and applied to other situations that may affect the ability to collect participant-level data. These findings contribute to a growing body of literature as to best practices and approaches to collecting participant-level data to evaluate public health nutrition programs.
Keyphrases
  • public health
  • electronic health record
  • big data
  • physical activity
  • primary care
  • mental health
  • machine learning
  • deep learning