Disentangling the role of poultry farms and wild birds in the spread of highly pathogenic avian influenza virus in Europe

Author:

Guinat Claire12ORCID,Valenzuela Agüí Cecilia12ORCID,Vaughan Timothy G12ORCID,Scire Jérémie12,Pohlmann Anne3ORCID,Staubach Christoph3,King Jacqueline3ORCID,Świętoń Edyta4ORCID,Dán Ádám5,Černíková Lenka6,Ducatez Mariette F7ORCID,Stadler Tanja12ORCID

Affiliation:

1. Department of Biosystems Science and Engineering, ETH Zurich , Mattenstrasse, Basel 4058, Switzerland

2. Swiss Institute of Bioinformatics , Quartier Sorge, Lausanne 1015, Switzerland

3. Friedrich-Loeffler-Institut , Suedufer 10, Greifswald – Insel Riems 17489, Germany

4. Department of Poultry Diseases, National Veterinary Research Institute , Al. Partyzantow 57, Pulawy 24-100, Poland

5. DaNAm Vet Molbiol , Herman Ottó utca 5, Kőszeg 9730, Hungary

6. State Veterinary Institute Prague , Sidlistni 136/24, Prague 165 03, Czech Republic

7. IHAP, Université de Toulouse, INRAE, ENVT , 23 chemin des capelles, Toulouse 31076, France

Abstract

Abstract In winter 2016–7, Europe was severely hit by an unprecedented epidemic of highly pathogenic avian influenza viruses (HPAIVs), causing a significant impact on animal health, wildlife conservation, and livestock economic sustainability. By applying phylodynamic tools to virus sequences collected during the epidemic, we investigated when the first infections occurred, how many infections were unreported, which factors influenced virus spread, and how many spillover events occurred. HPAIV was likely introduced into poultry farms during the autumn, in line with the timing of wild birds’ migration. In Germany, Hungary, and Poland, the epidemic was dominated by farm-to-farm transmission, showing that understanding of how farms are connected would greatly help control efforts. In the Czech Republic, the epidemic was dominated by wild bird-to-farm transmission, implying that more sustainable prevention strategies should be developed to reduce HPAIV exposure from wild birds. Inferred transmission parameters will be useful to parameterize predictive models of HPAIV spread. None of the predictors related to live poultry trade, poultry census, and geographic proximity were identified as supportive predictors of HPAIV spread between farms across borders. These results are crucial to better understand HPAIV transmission dynamics at the domestic–wildlife interface with the view to reduce the impact of future epidemics.

Funder

HORIZON EUROPE Marie Sklodowska-Curie Actions

Publisher

Oxford University Press (OUP)

Subject

Virology,Microbiology

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