Avian influenza Epidemiology subgroup

ENIGMA2 - The ENIGMA2 project is a veterinary contingency project in the DKVET consortium, funded by the Danish Veterinary and Food Administration.

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.