Using heterogeneous information for the estimation of the probability of freedom from infection with BVD virus: A conceptual model mapping information onto infection biology

Authors :: Mercat, Mathilde
van Roon, Annika
Santmann, Inge
Nielen, Mirjam
van Duijn, Linda
van Schaik, Gerdien
Moré, S
Graham, David
Frössling, Jenny
Lindberg, Ann
Gethmann, Jörn
Sauter-Louis, Carola
Gunn, George
Gomes, Carla
Henry, Madeleine
Fourichon, Christine
Madouasse, Aurélien
Biologie, Epidémiologie et analyse de risque en Santé Animale (BIOEPAR)
Institut National de la Recherche Agronomique (INRA)
Department of Farm Animal Health, Faculty of Veterinary Medicine
Utrecht University [Utrecht]
GD - Animal Health Service
University College Dublin [Dublin] (UCD)
Ireland
National Veterinary Institute
Technical University of Denmark [Lyngby] (DTU)
Friedrich-Loeffler-Institut (FLI)
Clinic for Ruminants with Ambulatory and Herd Health Services at the Centre for Clinical Veterinary Medicine
Ludwig Maximilians University of Munich
Royal Veterinary College - University of London
Institute of Epidemiology
Helmholtz Centre Munich
Scotland's Rural College (SRUC)
ProdInra, Migration
Source :: Society for Veterinary Epidemiology and Preventive Medicine (SVEPM), Society for Veterinary Epidemiology and Preventive Medicine (SVEPM), Mar 2018, Talinn, Estonia. Society for Veterinary Epidemiology and Preventive Medicine, 283 p., 2018, Society for Veterinary Epidemiology and Preventive Medicine (SVEPM)
Publication Year :: 2018
Publisher :: HAL CCSD, 2018.
Abstract: International audience

Subjects :: [SDV] Life Sciences [q-bio]
[SDV]Life Sciences [q-bio]
ComputingMilieux_MISCELLANEOUS

Language :: English
Database :: OpenAIRE
Journal :: Society for Veterinary Epidemiology and Preventive Medicine (SVEPM), Society for Veterinary Epidemiology and Preventive Medicine (SVEPM), Mar 2018, Talinn, Estonia. Society for Veterinary Epidemiology and Preventive Medicine, 283 p., 2018, Society for Veterinary Epidemiology and Preventive Medicine (SVEPM)
Accession number :: edsair.dedup.wf.001..f52df8ebc87fe7cd0632acea78a387e1

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