Accessibility settings

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

Public (e)Health, Digital Epidemiology and Public Health Informatics (2188) Clinical Informatics (2098) E-Health Policy and Health Systems Innovation (502) Clinical Information and Decision Making (3446) Precision Medicine (414)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/86249, first published .
Doctor in blue scrubs and cap using a tablet and pen in a bright office.

The Open Syndrome Definition as a Machine-Readable Standard for Public Health: Design and Implementation Study

The Open Syndrome Definition as a Machine-Readable Standard for Public Health: Design and Implementation Study

Authors of this article:

Ana Paula Gomes Ferreira1, 2 Author Orcid Image ;   Aleksandar Anžel1 Author Orcid Image ;   Izabel Marcilio3 Author Orcid Image ;   Helen Hughes4 Author Orcid Image ;   Alex J Elliot4 Author Orcid Image ;   Jude Dzevela Kong5 Author Orcid Image ;   Madlen Schranz6 Author Orcid Image ;   Alexander Ullrich6 Author Orcid Image ;   Georges Hattab1, 2 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Ana Paula Gomes Ferreira   1, 2 , MSc ;   Aleksandar Anžel   1 , PhD ;   Izabel Marcilio   3 , Dr med ;   Helen Hughes   4 , PhD ;   Alex J Elliot   4 , PhD ;   Jude Dzevela Kong   5 , PhD ;   Madlen Schranz   6 , MSc ;   Alexander Ullrich   6 , PhD ;   Georges Hattab   1, 2 , PhD

1 Center for Artificial Intelligence in Public Health Research, Robert Koch Institute, Berlin, Germany

2 Department of Mathematics and Computer Science, Freie Universität Berlin, Berlin, Germany

3 Center for Data and Knowledge Integration for Health, Fundação Oswaldo Cruz, Salvador, Brazil

4 Real-time Syndromic Surveillance Team, UK Health Security Agency, Birmingham, United Kingdom

5 Department of Mathematics and Statistics, Africa-Canada Artificial Intelligence and Data Innovation Consortium, York University, Toronto, ON, Canada

6 Infectious Disease Epidemiology Department, Robert Koch Institute, Berlin, Germany

Corresponding Author:

  • Georges Hattab, PhD
  • Center for Artificial Intelligence in Public Health Research
  • Robert Koch Institute
  • Nordufer 20
  • Berlin D-13353
  • Germany
  • Phone: +49 30 18754 0
  • Fax: +49 30 18754 2328
  • Email: HattabG@rki.de