1. Application of multiblock modelling to identify key drivers for antimicrobial use in pig production in four European countries
- Author
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Lucie Collineau, Ulf Emanuelson, E. grosse Beilage, Annette Backhans, A. Lehebel, Jeroen Dewulf, S. Lösken, Vivianne H.M. Visschers, Merel Postma, K. D. C. Stark, Stéphanie Bougeard, Marie Sjölund, Catherine Belloc, Biologie, Epidémiologie et analyse de risque en Santé Animale (BIOEPAR), Institut National de la Recherche Agronomique (INRA), SAFOSO AG, Agence nationale de sécurité sanitaire de l'alimentation, de l'environnement et du travail (ANSES), Department of clinical sciences, Swedish University of Agricultural Sciences (SLU), Department of Reproduction, Obstetrics and Herd Health, Veterinary Epidemiology Unit, Faculty of Veterinary Medicine, Universiteit Gent = Ghent University [Belgium] (UGENT), Field Station for Epidemiology, University of Veterinary Medicine Hanover, Department of Animal Health and Antimicrobial Strategies, Safe Food Solutions Inc. (SAFOSO), Royal Veterinary College - University of London, and University of Applied Sciences and Arts Northwestern Switzerland (HES-SO)
- Subjects
0301 basic medicine ,Health Knowledge, Attitudes, Practice ,PERCEPTIONS ,Swine ,Epidemiology ,[SDV]Life Sciences [q-bio] ,Biosecurity ,LEVEL ,0403 veterinary science ,FATTENING PIGS ,Anti-Infective Agents ,Risk Factors ,Pig farming ,USAGE ,Animal Husbandry ,multiblock partial least-squares regression ,Risk management ,Swine Diseases ,2. Zero hunger ,Antiinfective agent ,Farmers ,ANTIBIOTIC USE ,Antimicrobials ,Vaccination ,04 agricultural and veterinary sciences ,Antimicrobial ,Europe ,Infectious Diseases ,Geography ,INFECTIONS ,VACCINATION ,FARMERS ,040301 veterinary sciences ,030106 microbiology ,Sample (statistics) ,antimicrobials ,03 medical and health sciences ,Environmental health ,Animals ,Humans ,Veterinary Sciences ,Least-Squares Analysis ,Pig production ,Original Paper ,business.industry ,Antibiotic ,Risk mitigation ,HANDLING MISSING VALUES ,risk mitigation ,Models, Theoretical ,Multiblock partial least-squares regression ,pig production ,Cross-Sectional Studies ,Agriculture ,Herd ,PATTERNS ,business - Abstract
Antimicrobial use in pig farming is influenced by a range of risk factors, including herd characteristics, biosecurity level, farm performance, occurrence of clinical signs and vaccination scheme, as well as farmers’ attitudes and habits towards antimicrobial use. So far, the effect of these risk factors has been explored separately. Using an innovative method called multiblock partial least-squares regression, this study aimed to investigate, in a sample of 207 farrow-to-finish farms from Belgium, France, Germany and Sweden, the relative importance of the six above mentioned categories or ‘blocks’ of risk factors for antimicrobial use in pig production. Four country separate models were developed; they showed that all six blocks provided useful contribution to explaining antimicrobial use in at least one country. The occurrence of clinical signs, especially of respiratory and nervous diseases in fatteners, was one of the largest contributing blocks in all four countries, whereas the effect of the other blocks differed between countries. In terms of risk management, it suggests that a holistic and country-specific mitigation strategy is likely to be more effective. However, further research is needed to validate our findings in larger and more representative samples, as well as in other countries.
- Published
- 2018