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

Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1050) Influenza and Influenza-Like-Illness (ILI) Surveillance (219) Surveillance Systems (466) Public (e)Health, Digital Epidemiology and Public Health Informatics (750) Infectious Diseases (non-STD/STI) (1592) Outbreak and Pandemic Preparedness and Management (1743)

Published on in Vol 8, No 10 (2022): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/36211, first published .
Global Variations in Event-Based Surveillance for Disease Outbreak Detection: Time Series Analysis

Global Variations in Event-Based Surveillance for Disease Outbreak Detection: Time Series Analysis

Global Variations in Event-Based Surveillance for Disease Outbreak Detection: Time Series Analysis

Authors of this article:

Iris Ganser1, 2 Author Orcid Image ;   Rodolphe Thiébaut2, 3 Author Orcid Image ;   David L Buckeridge1 Author Orcid Image
Article Authors Cited by (4) Tweetations (2) Metrics

Iris Ganser   1, 2 , MSc ;   Rodolphe Thiébaut   2, 3 , MD, PhD ;   David L Buckeridge   1 , MD, PhD

1 McGill Clinical and Health Informatics, School of Population and Global Health, McGill University, Montreal, QC, Canada

2 INSERM U1219 Bordeaux Population Health Research Center, INRIA, 2 Université de Bordeaux, Bordeaux, France

3 Service d’Information Médicale, Centre Hospitalier Universitaire de Bordeaux, Bordeaux, France

Corresponding Author:

  • David L Buckeridge, MD, PhD
  • McGill Clinical and Health Informatics
  • School of Population and Global Health
  • McGill University
  • 2001 McGill College Avenue, Suite 1200
  • Montreal, QC, H3A 1G1
  • Canada
  • Phone: 1 514-934-1934 ext 32991
  • Email: david.buckeridge@mcgill.ca