ORION

ORION: One health suRveillance Initiative on harmOnization of data collection and interpretatioN

ORION focuses on the semantic and technical interoperability between the sectors, with focus on surveillance information

The ORION project aims at establishing and strengthening inter-institutional collaboration and transdisciplinary knowledge transfer in the area of surveillance data integration and interpretation, along the One Health (OH) objective of improving health and well-being. This will be achieved through an interdisciplinary collaboration of 13 veterinary and/or public health institutes from 7 European countries. These agencies are committed to adopt best practice One Health Surveillance (OHS) solutions (guidelines, methods, tools and knowledge).  Specifically this project will create:

• an “OH Surveillance Codex” (WP1) – a high level framework for harmonised, cross-sectional description and categorisation of surveillance data covering all surveillance phases and all knowledge types.
• an “OHS Knowledge Hub” (WP2) – a cross-domain inventory of currently available data sources, methods / algorithms / tools, that support OH surveillance data generation, data analysis, modelling and decision support
• “OHS Infrastructural Resources” (WP3) – that are practical, infrastructural resources forming the basis for successful harmonization and integration of surveillance data and methods. Developed solutions will be exemplified and validated during several One Health pilot studies in which other EJP research projects may join in. These pilot studies will support the operationalization and implementation of OH surveillance solutions on a national level and provide crucial feedback for future development and dissemination actions. An open web-based OHS Knowledge Hub will facilitate this knowledge exchange. Trainings and workshops will be offered to support and integrate with other EJP projects in their data harmonization efforts.

Joensen, KG., Kiil, K., Gantzhorn, MR.,Nauerby, B., Engberg, J., Holt, HM.,Nielsen, HL.,Petersen, AM., Kuhn, KG.,Sandø, G.,Ethelberg, S., Nielsen, EM. (2020). Whole-Genome Sequencing to Detect Numerous Campylobacter jejuni Outbreaks and Match Patient Isolates to Sources, Denmark, 2015–2017. Emerging Infectious Diseases, 26(3), 523-532. DOI: https://dx.doi.org/10.3201/eid2603.190947

Houe, H., Nielsen, SS., Nielsen, LR., Ethelberg, S., Mølbak, K. (2020). Opportunities for Improved Disease Surveillance and Control by Use of Integrated Data on Animal and Human Health. Frontiers in Veterinary Medicine, 6: 301, pp. 1-8. DOI: https://doi.org/10.3389/fvets.2019.00301

Stelzer, S., Basso, W., Benavides Silván, J., Ortega-Mora, L.M., Maksimov, P., Gethmann, J., Conraths, F.J.,  Schares, G. (2019). Toxoplasma gondii infection and toxoplasmosis in farm animals: Risk factors and economic impact. Food and Waterborne Parasitology, 12, pp. e00037. DOI: http://doi.org/10.1016/j.fawpar.2019.e00037

The National Food Institute Technical University of Denmark have produced an Inspiration and Ideas report regarding One Health Integration in Surveillance.

Authors: Johanne Ellis-Iversen, Channie Kahl Petersen, Birgitte Helwigh
Affiliation: EpiRisk, Division of Risk Assessment and Nutrition, National Food Institute, DTU

Read it here.