SciTransfer
Organization

STATENS VETERINAERMEDICINSKA ANSTALT

Sweden's national veterinary institute specializing in zoonotic disease surveillance, food safety diagnostics, and One Health research across Europe.

National veterinary research institutefoodSE
H2020 projects
6
As coordinator
1
Total EC funding
€6.0M
Unique partners
96
What they do

Their core work

SVA is Sweden's National Veterinary Institute, serving as the country's primary authority on animal health, zoonotic diseases, and food safety. They conduct diagnostic testing, epidemiological surveillance, and applied research covering the full chain from animal disease outbreaks to foodborne pathogens reaching consumers. Their work spans laboratory reference services (validating detection instruments for avian influenza, salmonella, campylobacter), field epidemiology of livestock diseases, and development of data-driven decision support tools for disease control. They operate at the intersection of veterinary science, public health, and food safety — the core of the One Health concept.

Core expertise

What they specialise in

One Health and zoonotic disease surveillanceprimary
3 projects

Central participant in the One Health EJP (their largest project at EUR 3.2M), plus work on Crimean-Congo haemorrhagic fever (CCHFVaccine) and SARS-CoV-2 antivirals (MAD-CoV 2).

Foodborne pathogen detection and reference laboratory servicesprimary
2 projects

VIVALDI focused on validating point-of-care detection for avian influenza, salmonella, and campylobacter; One Health EJP covered foodborne zoonoses and antimicrobial resistance.

Veterinary epidemiology and disease modellingprimary
3 projects

DECIDE builds data-driven decision support tools for animal disease prioritisation; PALE-Blu modelled bluetongue virus-vector-livestock interactions; syndromic surveillance is a recurring theme.

Antiviral and vaccine development (animal models)secondary
2 projects

Coordinated MAD-CoV 2 on SARS-CoV-2 antivirals using 3D organoids and haploid cells; contributed animal models to CCHFVaccine for Crimean-Congo haemorrhagic fever.

Data-driven animal health economics and decision supportemerging
1 project

DECIDE (2021-2026) explicitly integrates veterinary epidemiology with animal health economics, social sciences, and welfare considerations — a newer direction for SVA.

Evolution & trajectory

How they've shifted over time

Early focus
Zoonotic disease and food safety surveillance
Recent focus
Data-driven disease decision support

SVA's early H2020 work (2017-2018) focused on classical veterinary infectious disease research — bluetongue virus epidemiology, Crimean-Congo haemorrhagic fever vaccines, and broad One Health surveillance of foodborne zoonoses. From 2020 onward, there is a clear shift toward data-driven and digital approaches: syndromic surveillance systems, decision support tools, AI-assisted antiviral development, and integration of economics and social sciences into disease control. The pandemic also triggered a pivot into human-relevant virology (SARS-CoV-2), where SVA stepped up as a coordinator rather than just a participant.

SVA is moving from traditional lab-based disease surveillance toward digitally-enabled, economics-informed decision support for animal health — making them increasingly relevant for projects that combine veterinary science with data analytics and policy tools.

Collaboration profile

How they like to work

Role: active_partnerReach: European31 countries collaborated

SVA primarily operates as a strong participant (5 of 6 projects), but demonstrated coordination capability with MAD-CoV 2 — notably their most scientifically ambitious project. With 96 unique partners across 31 countries, they maintain a wide European network rather than relying on a small circle of repeat collaborators. Their participation in large joint programming actions (One Health EJP) and multi-partner research consortia suggests they are comfortable in large, distributed teams and valued for their national reference laboratory infrastructure and regulatory expertise.

SVA has collaborated with 96 unique partners across 31 countries, reflecting a genuinely pan-European network. Their One Health EJP participation alone connects them to a large web of national food safety and veterinary agencies across the EU.

Why partner with them

What sets them apart

SVA occupies a rare position as a government veterinary institute that bridges animal health, food safety, and public health under one roof — the institutional embodiment of One Health. Unlike university research groups, they carry regulatory authority and operate national reference laboratories, giving consortium partners access to validated diagnostic infrastructure and real surveillance data. Their recent move into coordination (MAD-CoV 2) and data-driven decision tools signals they are ready to take on more ambitious roles beyond their traditional supporting function.

Notable projects

Highlights from their portfolio

  • One Health EJP
    By far their largest project (EUR 3.2M) — a European Joint Programme connecting national veterinary and food safety institutes across the EU, placing SVA at the heart of Europe's One Health network.
  • MAD-CoV 2
    SVA's only coordinated project (EUR 1.3M), using advanced techniques like 3D organoids and AI for SARS-CoV-2 antiviral development — a significant step up from their usual participant role.
  • DECIDE
    Their most recent project (2021-2026) represents SVA's strategic evolution, combining veterinary epidemiology with economics, social sciences, and digital decision support tools for disease prioritisation.
Cross-sector capabilities
Public health and epidemic preparednessAntimicrobial resistance policyAI and data analytics for biosurveillanceAgricultural livestock welfare and economics
Analysis note: Six projects provide a solid profile with clear thematic coherence and visible evolution. The only limitation is that SVA's full institutional capability likely extends well beyond what H2020 participation reveals — as a national agency, their domestic surveillance and regulatory work is substantial but not captured here.