University of Copenhagen Scientists Develop Predictive Tool to Shield Danish Cattle from Emerging Bird Flu Risk

University of Copenhagen researchers develop a tool to predict H5N1 bird flu risks in Danish cattle, targeting high-risk zones on the coast and Lolland.

By: AXL Media

Published: Mar 19, 2026, 5:53 AM EDT

Source: Information for this report was sourced from University of Copenhagen

Proactive Viral Surveillance in European Livestock

The University of Copenhagen has introduced a sophisticated predictive framework designed to protect the Danish dairy industry from the encroaching threat of H5N1 avian influenza. Following devastating outbreaks in the United States that impacted over 1,000 herds across 19 states, European researchers are racing to establish a defensive perimeter. The "VRSpi" tool integrates real-time data on wild bird abundance with domestic cattle density, allowing authorities to visualize how the infection might transition from migratory populations to commercial farm environments before a single case is detected on Danish soil.

Applying American Outbreak Data to the Danish Context

While Denmark has yet to confirm a case of bird flu in its cattle, the recent discovery of H5N1 antibodies in Dutch dairy cows and British sheep indicates that the virus is already crossing species barriers within Europe. Postdoc You Chang from the Department of Veterinary and Animal Sciences emphasizes that this is the first European study to translate American infection trends into a local context. By analyzing the proximity of wild bird habitats to high-density cattle regions in the U.S., the team has created a blueprint that identifies specific geographical vulnerabilities unique to the Danish landscape.

Geographical Vulnerabilities and Migratory Routes

Due to its position along critical international migratory paths, Denmark is considered particularly susceptible to the introduction of avian pathogens. The new predictive tool pinpointed the western coast of the country and the island of Lolland as the most significant hotspots for potential spillover. According to the research, the risk is not static throughout the year but peaks significantly between the months of December and March. This seasonal data allows farmers in these designated high-risk zones to implement heightened biosecurity measures during the most dangerous windows of the year.