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Currently submitted to: JMIR Public Health and Surveillance

Date Submitted: Mar 30, 2026
Open Peer Review Period: Mar 30, 2026 - May 25, 2026
(currently open for review)

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Automated Outbreak Detection Systems in the EU: A Mixed-Methods Study on Requirements and Implementation Challenges

  • Paulina vom Felde genannt Imbusch; 
  • Ann Christin Vietor; 
  • Inessa Markus; 
  • Michaela Diercke; 
  • Alexander Ullrich

ABSTRACT

Background:

Automated outbreak detection can enhance infectious disease surveillance by enabling early identification of outbreaks and supporting timely public health measures. However, information on its current use by national public health institutes (NPHI) remains limited.

Objective:

This paper aims to provide an updated and extended overview of automated outbreak detection usage in the European Union (EU) and the United Kingdom (UK) by: (1) assessing current demand, (2) examining the availability of key prerequisites within existing surveillance systems, and (3) identifying challenges and requirements for implementation.

Methods:

A mixed-method approach was applied as part of the Joint Action UNITED4Surveillance. Data were collected between April 2023 and January 2024 through an online survey sent to 25 countries, an in-person workshop with experts from 16 countries, and follow-up meetings with participating NPHIs. Additional information for selected countries was obtained from literature. Data were analysed descriptively.

Results:

Twenty-one countries completed the survey. Seven countries have established automated outbreak detection systems (AODS), four are planning implementation, and ten participated in a pilot project. All surveyed countries reported acting on detected surveillance signals. Most have suitable surveillance infrastructure, including case-based data (20/21), daily reporting (21/21), and at least three years of historical data (21/21). Main barriers to implementation include limited funding (15/21), insufficient IT capacity, and data quality issues (9/21). Despite heterogeneity in methods and system design, outputs and user requirements are largely similar across countries, with needs for flexible outputs, stratification, and user-friendly interfaces.

Conclusions:

While the specific methods in existing AODS differ, overall demands and outputs are similar, suggesting a single tool could serve multiple countries. Capacity building as part of EU-funded Joint Actions can bridge these gaps by developing sustainable tools and fostering cross-country collaboration.


 Citation

Please cite as:

vom Felde genannt Imbusch P, Vietor AC, Markus I, Diercke M, Ullrich A

Automated Outbreak Detection Systems in the EU: A Mixed-Methods Study on Requirements and Implementation Challenges

JMIR Preprints. 30/03/2026:96576

DOI: 10.2196/preprints.96576

URL: https://preprints.jmir.org/preprint/96576

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