This paper is in the following e-collection/theme issue:

Surveillance Systems (462) Tools, Programs and Algorithms (266) Reviews on Public Health Technology and Innovation (69) Statistical Methods for Surveillance and Population Health (156)

Published on in Vol 6, No 2 (2020): Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/11512, first published .
Cluster Detection Mechanisms for Syndromic Surveillance Systems: Systematic Review and Framework Development

Cluster Detection Mechanisms for Syndromic Surveillance Systems: Systematic Review and Framework Development

Cluster Detection Mechanisms for Syndromic Surveillance Systems: Systematic Review and Framework Development

Authors of this article:

Prosper Kandabongee Yeng1, 2 Author Orcid Image ;   Ashenafi Zebene Woldaregay1 Author Orcid Image ;   Terje Solvoll3 Author Orcid Image ;   Gunnar Hartvigsen1 Author Orcid Image
Article Authors Cited by (11) Tweetations (1) Metrics

Prosper Kandabongee Yeng   1, 2 , MSc ;   Ashenafi Zebene Woldaregay   1 , MSc, MEng ;   Terje Solvoll   3 , PhD ;   Gunnar Hartvigsen   1 , PhD

1 Department of Computer Science, University of Tromsø, The Arctic University of Norway, Gjøvik, Norway

2 Department of Information Security and Communication Technology, Norwegian University of Science and Technology, Gjøvik, Norway

3 Norwegian Centre for E-health Research, University Hospital, Tromsø, Norway

Corresponding Author:

  • Prosper Kandabongee Yeng, MSc
  • Department of Computer Science
  • University of Tromsø, The Arctic University of Norway
  • NTNU Gjøvik Teknologiveien 22
  • Gjøvik, 2815
  • Norway
  • Phone: 47 96992743
  • Email: prosper.yeng@gmail.com