Glossary for public health surveillance in the age of data science
- Chiolero, Arnaud Population Health Laboratory, Department of Community Health, University of Fribourg, Fribourg, Switzerland - Institute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland - Observatoire valaisan de la santé (OVS), Sion, Switzerland - Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Canada
- Buckeridge, David Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Canada
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01.07.2020
Published in:
- J Epidemiol Community Health. - 2020, vol. 74, no. 7, p. 612–616
English
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.
- Faculty
- Faculté des sciences et de médecine
- Department
- Master en médecine
- Language
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- English
- Classification
- Medicine
- License
- License undefined
- Identifiers
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- RERO DOC 329475
- DOI 10.1136/jech-2018-211654
- Persistent URL
- https://folia.unifr.ch/unifr/documents/308941
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