Avian influenza Epidemiology subgroup

This subgroup is a part of the Epidemiology and Disease Control research group. 

Since 2020, the Section for Animal Welfare and Disease Control at the Department for Veterinary and Animal Science have conducted research in Avian influenza Epidemiology.

Our primary objective is to conduct research aimed at enhancing our understanding of the transmission dynamics of avian influenza, both in Denmark and globally. Given the ongoing year-round outbreaks, there is a significant risk to wild birds, poultry, and even humans. By conducting our research, we aspire to assist the Danish authorities in effectively controlling avian influenza outbreaks. This includes identifying high-risk areas and periods, as well as expanding our knowledge in this crucial research domain.



PAIR - New EU Project Integrating Point-of-Care Diagnostics and Epidemiological Modeling.

LiRA – EFSA Living Risk Assessment Tool. An EFSA funded project to conduct work on risk assessment and data management of diseases.

ENIGMA – Early Warning System for Avian Influenza. A contingency project with the aim to build an early warning system for avian influenza in Denmark, focusing on the following objectives:

  1. Investigate the connection between foreign outbreaks and domestic cases of avian influenza, including migratory patterns and habitats of relevant bird species.
  2. Develop a continuous monitoring system for foreign avian influenza outbreaks, assessing the risk of introduction to Denmark.
  3. Expand the system to consider other risk factors, such as the introduction of migratory birds from other countries.
  4. Create a simulation model to estimate the risk of local spread of avian influenza within Denmark during outbreaks. 

ROFUS - Risikoanalyse og Overvågning af FUgle- og Svineinfluenza. Contingency research project during 2020-2021. The aim was to utilize existing data for monitoring avian and swine influenza with the following objectives:

  1. Conduct a spatio-temporal hotspot analysis to determine if positive samples from the 2012-2019 monitoring period are associated with specific areas.
  2. Correlate these hotspots spatially with natural habitats, meteorological data, etc., to investigate areas of highest risk for introduction and spread.
  3. Analyze the monitoring data to identify spatio-temporal cold spots (areas with low sample submissions) and assess if optimal coverage is achieved in Denmark. If not, identify areas where future samples should be focused. The analyses will consider both subtypes and groupings. The Danish Veterinary and Food Administration (FVST) has expressed a desire for these existing influenza data to be analyzed.





Name Title Phone E-mail
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Anette Ella Boklund Associate Professor +4535330847 E-mail
Carsten Thure Kirkeby Senior Researcher +4535337215 E-mail
Helene Ane Jensen PhD Fellow   E-mail
Lene Jung Kjær Associate Professor +4535337290 E-mail
Yangfan Liu PhD Fellow +4535323023 E-mail
Picture from the Avian Influenza Epidemiology Subgroup field trip to a bird locality on Stevns, Denmark, June 2023.