The Public Health and Environmental Surveillance Open Data Model (PHES-ODM) Version 3: An Open, Relational Data Model and Interoperability Framework for Wastewater Surveillance
Mathew Thomson, Jean-David Therrien, Nikho Hizon, Janet Lin, Martin Wellman, Eugen-Sorin Sion, Carol Bennett, Peter Van Rolleghem, Douglas Manuel

TL;DR
The paper introduces version 3 of the PHES-ODM, an open data model that standardizes wastewater surveillance data to improve interoperability, utility, and global adoption in public health monitoring.
Contribution
It presents key enhancements in PHES-ODM v3, including new data tables, external linkages, workflow documentation, and tools for mapping and data format support.
Findings
Adopted by over 25 countries including Canada and EU.
Enhanced support for complex relational data and external repositories.
Compared favorably against six other WWS data standards.
Abstract
Wastewater surveillance (WWS) has emerged as a valuable tool for public health surveillance, particularly since the COVID-19 pandemic. Its long-term utility is constrained, however, by fragmented data systems, inconsistent metadata practices, and poor interoperability. The Public Health and Environmental Surveillance Open Data Model (PHES-ODM) was developed as an open, collaborative framework to standardize WWS data and support transparent, ethical data use aligned with FAIR principles. Adopted by the Public Health Agency of Canada and adapted by the EU Sewage Sentinel System, the model is now used in over 25 countries. This paper introduces version 3 of the model, which addresses persistent barriers to interoperability and data utility. Key enhancements include new tables for public health actions, external repository linkages (e.g., GISAID, GenBank), and analytical workflow…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
