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

Innovative Methods in Public Health and Surveillance (392) JMIR Theme Issue: COVID-19 Special Issue (2558) Infectious Diseases (non-STD/STI) (1733) Hygiene and Infection Prevention (376) Outbreak and Pandemic Preparedness and Management (1831) Influenza and Influenza-Like-Illness (ILI) Surveillance (238)

Published on in Vol 11 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/73953, first published .
A “Pandemic-Proof” Methodology for Outbreak Detection Adapted From COVID-19’s Impact on Notifications of Infectious Diseases in the Netherlands: Surveillance Study

A “Pandemic-Proof” Methodology for Outbreak Detection Adapted From COVID-19’s Impact on Notifications of Infectious Diseases in the Netherlands: Surveillance Study

A “Pandemic-Proof” Methodology for Outbreak Detection Adapted From COVID-19’s Impact on Notifications of Infectious Diseases in the Netherlands: Surveillance Study

Authors of this article:

Babette van Deursen1, 2 Author Orcid Image ;   Stijn Raven1, 2 Author Orcid Image ;   Wolfer van den Bosch2 Author Orcid Image ;   Cornelia H M van Jaarsveld1 Author Orcid Image ;   Aura Timen1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Babette van Deursen   1, 2 , MSc ;   Stijn Raven   1, 2 , PhD ;   Wolfer van den Bosch   2 , MSc ;   Cornelia H M van Jaarsveld   1 , PhD ;   Aura Timen   1 , PhD

1 Department of Primary and Community Care, Research Institute for Medical Innovation, Radboud University Medical Center, Nijmegen, The Netherlands

2 Department of Infectious Disease Control, Public Health Service region Utrecht, Zeist, The Netherlands

Corresponding Author:

  • Babette van Deursen, MSc
  • Department of Primary and Community Care
  • Research Institute for Medical Innovation, Radboud University Medical Center
  • Geert Grooteplein 21
  • Nijmegen 6500 HB
  • The Netherlands
  • Phone: +31622989091
  • Email: babette.vandeursen@radboudumc.nl