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Glossary for public health surveillance in the age of data science.

Arnaud ChioleroDavid Buckeridge
Published in: Journal of epidemiology and community health (2020)
Public health surveillance is the ongoing systematic collection, analysis and interpretation of data, closely integrated with the timely dissemination of the resulting information to those responsible for preventing and controlling disease and injury. With the rapid development of data science, encompassing big data and artificial intelligence, and with the exponential growth of accessible and highly heterogeneous health-related data, from healthcare providers to user-generated online content, the field of surveillance and health monitoring is changing rapidly. It is, therefore, the right time for a short glossary of key terms in public health surveillance, with an emphasis on new data-science developments in the field.
Keyphrases
  • public health
  • big data
  • artificial intelligence
  • machine learning
  • healthcare
  • electronic health record
  • global health
  • deep learning
  • health information
  • mental health
  • risk assessment
  • data analysis
  • quantum dots