ORION: One health suRveillance Initiative on harmOnization of data collection and interpretatioN
Start: | 1 January 2018 |
Duration: | 3 Years |
Domain: | Integrative Activity |
Keywords: | One Health, Surveillance data harmonisation, Guidelines, Knowledge |
Contact: | Matthias Filter (BfR) |
The Project #ORION
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.
Publications
Foddai, A., Takeuchi-Storm, N., Høg, B. B., Kjeldgaard, J. S., Andersen, J. K., Ellis-Iversen, J. (2022). Assessing Campylobacter cross-contamination of Danish broiler flocks at slaughterhouses considering true flock prevalence estimates and ad-hoc sampling. Microbial Risk Analysis. 100214, ISSN 2352-3522. DOI: https://doi.org/10.1016/j.mran.2022.100214
Foddai A., Nauta M., Ellis-Iversen J. (2021). Risk-based control of Campylobacter spp. in broiler farms and slaughtered flocks to mitigate risk of human campylobacteriosis – A One Health approach. Microbial Risk Analysis, 100190, ISSN 2352-3522. DOI: https://doi.org/10.1016/j.mran.2021.100190.
Scaccia, N., Günther, T., Lopez de Abechuco, E., Filter, M. (2021). The Glossaryfication Web Service: an automated glossary creation tool to support the One Health community. Research Ideas and Outcomes, 7: e70183. DOI: https://doi.org/10.3897/rio.7.e70183
Buschhardt, Tasja., Günther, Taras., Skjerdal, Taran., Torpdahl, Mia., Gethmann, Jörn., Filippitzi, Maria-Eleni., Maassen, Catharina., Jore, Solveig., Ellis-Iversen, Johanne. (2021). A one health glossary to support communication and information exchange between the human health, animal health and food safety sectors. One Health, 13. DOI: https://doi.org/10.1016/j.onehlt.2021.100263
Filter, Matthias., Buschhardt, Tasja., Dórea, Fernanda., Lopez de Abechuco, Estibaliz., Günther, Taras., Sundermann, Esther M.; Gethmann, Jörn., Dups-Bergmann, Johanna., Lagesen, Karin., Ellis-Iversen, Johanne. (2021). One Health Surveillance Codex: promoting the adoption of One Health solutions within and across European countries. One Health, 12. DOI: https://doi.org/10.1016/j.onehlt.2021.100233
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
Authors: Johanne Ellis-Iversen, Channie Kahl Petersen, Birgitte Helwigh
Affiliation: EpiRisk, Division of Risk Assessment and Nutrition, National Food Institute, DTU
