Madrid, Comunidad de Madrid, Spain

Madrid, Comunidad de Madrid, Spain

Carretera Madrid a A Coruña, Guadarrama, Comunidad de Madrid, Spain

Uppsala, Sweden

Ullevålsveien 68, Oslo, Oslo, Norway

3721 Utrecht Court, Christchurch, England, United Kingdom

Viale Regina Elena, Rome, Lazio, Italy

Waterloo Road, London Borough of Lambeth, England, United Kingdom

Addlestone, England, United Kingdom

Anker Engelunds Vej 1, Stampen, Region Hovedstaden, Denmark

Seestraße 10, Berlin, Berlin, Germany

Südufer 10, Greifswald, Mecklenburg-Vorpommern, Germany

Max-Dohrn-Straße 8, Berlin, Berlin, Germany

Rue Juliette Wytsman - Juliette Wytsmanstraat 14, Ixelles - Elsene, Région de Bruxelles-Capitale - Brussels Hoofdstedelijk Gewest, Belgium

14 Rue Pierre et Marie Curie, Maisons-Alfort, Île-de-France, France

Artillerivej 5, Copenhagen, Region Hovedstaden, Denmark

OHEJP Nova project logo

The Project #NOVA

Start: 1 January 2018
Duration: 3.5 Years
Domain: Foodborne Zoonoses
Keywords: Surveillance assessment, food purchase data, evaluation modelling, syndromic surveillance, spatial risk mapping
Contact: Jenny Frössling (SVA)

NOVA: Novel approaches for design and evaluation of cost-effective surveillance across the food chain

The NOVA project developed new surveillance tools and methods to harmonise and optimise the use of existing surveillance system data.

19 medical and veterinary institutions from 10 European countries collaborated for this project. The project consisted of five topics. Three of the five (1,2 and 3) topics concern the development of targeted surveillance tools, whereas the remaining two (4 and 5) topics concern integrative measures:

  1. Syndromic Surveillance: to develop and implement tools to advance methods for real-time and near-real-time detection of early outbreak signals using existing surveillance data sources.
  2. Spatial risk mapping: to advance the use of geographical mapping and analysis for understanding zoonotic disease risks to farm animals and humans.
  3. Food purchase data: to create methods to acquire and analyse (large) datasets from food purchases from consumers and institutions, in order to develop the novel field of understanding of risks for sporadic disease and outbreaks via patterns in the food that we buy. The two integrative or overarching research umbrellas concern:
  4. Mathematics and Economy: To develop advanced mathematical modelling tools for better analysis of existing surveillance data, with a particular aim of conducting cost-effect analyses.
  5. Terminology, data sources and barriers: within a One Health perspective, to define common surveillance concepts, locate and make use of available data sources and understand impediments in the use of surveillance data and tools that may exist in some countries or sectors.

Project Outputs and Outcomes

The collaborative structure of NOVA enabled the development of several novel outputs that advance the use of modern surveillance and response principles across Europe. Moreover, these outputs have practical and cost-saving impacts on how surveillance of existing and emerging zoonotic agents is being conducted within the EU.

A summary of outputs can be found on the NOVA story map.

In parallel to the strengthening of modeling and data frameworks, NOVA has started the process to incorporate new data sources in the everyday surveillance that our institutes are involved in. NOVA has concluded that modeling the full chain from primary production to the consumer, including environmental aspects, is possible but remains a challenge. NOVA collaborations confirm that a multidisciplinary approach is needed to combine and understand information from the different surveillance components.

Project Assets

Boone, I., Rosner, B., Lachmann, R., D’Errico, M. L., Iannetti, L., Van der Stede, Y., Boelaert, F., Ethelberg, S., Eckmanns, T., Stark, K., Haller, S., & Wilking, H. (2021). Healthcare-associated foodborne outbreaks in high- income countries: a literature review and surveillance study, 16 OECD countries, 2001 to 2019. Eurosurveillance. 26, 2001278. DOI:

Boone, I., D’Errico, M., Iannetti, L., Scavia, G., Tozzoli, R., Ethelberg, S., Eckmanns, T., Stark, K., Wilking, H. & Haller, S. (2023). Catering of high-risk foods and potential of stored food menu data for timely outbreak investigations in healthcare facilities, Italy and Germany. Epidemiology & Infection. 151, E61. DOI:

Swanson, D., Koren, C., Hopp, P., Jonsson, M.E., Rø,G. I., White, R. A., Grøneng, G. M. (2022). A One Health real-time surveillance system for nowcasting Campylobacter gastrointestinal illness outbreaks, Norway, week 30 2010 to week 11 2022. Euro Surveillance. 27(43): 2101121. Available at:

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:

Rosendal, T., Widgren, S., Ståhl, K., Frössling, J. (2020). Modelling spread and surveillance of Mycobacterium avium subsp. paratuberculosis in the Swedish cattle trade network. Preventative Veterinary Medicine. 183, 105152. DOI:

Apenteng, OO., Arnold, ME., Vigre, H. (2020). Using stochastic dynamic modelling to estimate the sensitivity of current and alternative surveillance program of Salmonella in conventional broiler production. Scientific Reports, 10, pp. 19441. DOI:

Teng, K. T., Martinez Avilés, M., Ugarte-Ruiz, M., Barcena, C., de la Torre, A., Lopez, G., Moreno, M. A., Dominguez, L., & Alvarez, J. (2020). Spatial Trends in Salmonella Infection in Pigs in Spain. Frontiers in veterinary science, 7, 345. DOI:

Bosch, J., Iglesias, I., Martínez, M., de la Torre, A. (2020). Climatic and topographic tolerance limits of wild boar in Eurasia: implications for their expansion. Geography, Environment, Sustainability, 13(1), pp.107-114. DOI:

Helmuth, IG., Espenhain, L., Ethelberg, S., Jensen, T., Kjeldgaard, J., Litrup, E., Schjørring, S., Müller, L. (2019). An outbreak of monophasic Salmonella Typhimurium associated with raw pork sausage and other pork products, Denmark 2018–19. Epidemiology and Infection, 147, pp. e315. DOI: doi:10.1017/S0950268819002073

Alvarez J., Lopez G., Muellner P., de Frutos C., Ahlstrom C., Serrano T., Moreno MA., Duran M., Saez JL., Dominguez L., Ugarte-Ruiz M.(2019) Identifying emerging trends in antimicrobial resistance using Salmonella surveillance data in poultry in Spain. Transboundary and Emerging Diseases, 67(1), pp. 250-262. DOI:

Martínez-Avilés, M., Garrido-Estepa, M., Álvarez, J., de la Torre., A. (2019). Salmonella Surveillance Systems in Swine and Humans in Spain: A Review. Veterinary Sciences, 6(1), 20. DOI:

Garrido-Estepa, M., Latasa, P., Ordóñez-León, G.Y. et al. Non-Typhi, non-Paratyphi Salmonella-related hospitalisations in Spain: trends, clinical aspects, risk factors for worse prognosis and hospital costs (2018). European Journal of Clinical Microbiology & Infectious Diseases, 38(2), pp. 337-346. DOI: 10.1007/s10096-018-3433-1

Møller Frederik T, Mølbak Kåre, Ethelberg Steen. Analysis of consumer food purchase data used for outbreak investigations, a review. (2018). EuroSurveillance, 23(24) DOI: 10.2807/1560-7917.ES.2018.23.24.1700503

NOVA Data management plan

D0.1-  Documentation of consortium assembly and steering committee meeting

D0.2- Documentation of consortium assembly and steering committee meeting

D0.3- Documentation of consortium assembly and steering committee meeting

D0.4- Documentation of consortium assembly 2021

D1.2- Mapping of food chain surveillance across countries

D2.1- Description by member state of data sources, agreements and organisations:Data availability of purchase and consumer data for outbreak investigations

D2.2- Description by member state of barriers for use: legal, political, economic, practical, and technical obstacles

D2.3- Food purchase data for outbreak investigations –structured review of the field

D2.4- Simulation analyses to assess the use of consumer purchase data as an analytical tool for outbreak investigations

D2.5- Description of data infrastructure module, including an electronic informed consent tool

D2.6- Case control study of food risk factors for sporadic Salmonella infections

D2.8- Epidemiological analysis of existing surveillance data regarding ha-FBO and foods involved (confidential)

D2.9- Studies using the German results extended to partner institutes (confidential)

D2.10- FoodChain-Lab web application: Description and documentation of software, development of tutorials and training material

D-3.1 Full mapping of the chain process for three main productions in E.U

D-3.2 Data inventory with assessment of availability, quality and fitness for SS

D3.3- Description of the SS components implemented and guidelines for their use

D3.4- Recommendations about the quality standardisation of data produced across the food chain for their use in SyS

D3.5- Contribution of multiple syndromic surveillance components in the FBD surveillance

D4.1-Maps for Salmonella prevalence geographical patterns in intensive livestock and slaughterhouses completed in high prevalence regions

D4.2- Identification of periods with higher probability of detection of infection identified in high prevalence regions and temporal evidences for an association with human cases

D4.3- Assessment of the spatio-temporal infection dynamics model of Salmonella in low prevalence region

D4.4- Assessment of the spatio-temporal infection dynamics model of Salmonella in low prevalence regions–Evaluation of optimal surveillance strategies

D4.5- Characterisation of the spatial network structure of the pig industry in a Mediterranean scenario and Salmonella data mapped and analysed

D4.6- Assessment of the potential effect of the withdrawal of the use of formaldehyde-based feed treatments done

D4.7- Salmonella data in extensive farming in Mediterranean scenario mapped and analysed

D4.8- Cartographic map of hot spot areas for Salmonella transmission between wild boars and low biosecurity systems

D4.9- Potential new environmental surveillance indicators identified

D5.1- Report comparing performance of surveillance strategies

 D5.2- Recommendations for metrics to evaluate surveillance performance 

D5.3 – Model to assess the usefulness of sequencing technology in detecting emerging antimicrobial surveillance and forecasting antimicrobial resistance in the animal primary production

D5.4- Report assessing the quantitative effect on human health of changing surveillance capacity across different sources in an MS

D5.5- A practical risk based sampling approach that combines exposure to zoonoses with disease burden and costs for sampling at a European level


Project Updates

JRP NOVA project outcomes and expected impact – presentation at POC PMC meeting 24.11.21

A summary of NOVA main outputs is found on NOVA Story Map

A NOVA script repository contains code to explore disease surveillance options in a low prevalence setting of Salmonella Dublin in cattle

Project Events 

NOVA 1st Annual Meeting – 28th February to 1st March 2018, Rome, Italy

NOVA 2nd Annual Meeting – 7th-8th March 2019, Brussels, Belgium

NOVA 3rd Annual Meeting – 23rd April 2020, online

NOVA Final Annual Meeting – 18-19th May 2021, online



Log in with your credentials

Forgot your details?