Application of multiblock modelling to identify key drivers for antimicrobial use in pig production in four European countries
Vorschaubild nicht verfügbar
Autor:innen
Backhans, Annette
Dewulf, Jeroen
Emanuelson, Ulf
Grosse Beilage, Elisabeth
Loesken, Svenja
Postma, Merel
Sjölund, Marie
Stärk, Katherina
Belloc, Catherine
Autor:in (Körperschaft)
Publikationsdatum
2018
Typ der Arbeit
Studiengang
Typ
01A - Beitrag in wissenschaftlicher Zeitschrift
Herausgeber:innen
Herausgeber:in (Körperschaft)
Betreuer:in
Übergeordnetes Werk
Epidemiology and Infection
Themenheft
DOI der Originalpublikation
Link
Reihe / Serie
Reihennummer
Jahrgang / Band
Ausgabe / Nummer
Seiten / Dauer
1-18
Patentnummer
Verlag / Herausgebende Institution
Cambridge University Press
Verlagsort / Veranstaltungsort
Auflage
Version
Programmiersprache
Abtretungsempfänger:in
Praxispartner:in/Auftraggeber:in
Zusammenfassung
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.
Schlagwörter
antimicrobials, multiblock partial least-squares regression, pig production, risk mitigation
Fachgebiet (DDC)
630 - Landwirtschaft, Veterinärmedizin
150 - Psychologie
150 - Psychologie
Veranstaltung
Startdatum der Ausstellung
Enddatum der Ausstellung
Startdatum der Konferenz
Enddatum der Konferenz
Datum der letzten Prüfung
ISBN
ISSN
1469-4409
0950-2688
0950-2688
Sprache
Englisch
Während FHNW Zugehörigkeit erstellt
Ja
Publikationsstatus
Veröffentlicht
Begutachtung
Peer-Review der ganzen Publikation
Open Access-Status
Lizenz
Zitation
BACKHANS, Annette, Jeroen DEWULF, Ulf EMANUELSON, Elisabeth GROSSE BEILAGE, Svenja LOESKEN, Merel POSTMA, Marie SJÖLUND, Katherina STÄRK, Vivianne VISSCHERS, Catherine BELLOC, Lucie COLLINEAU, Stéphanie BOUGEARD und Anne LEHÉBEL, 2018. Application of multiblock modelling to identify key drivers for antimicrobial use in pig production in four European countries. Epidemiology and Infection. 2018. S. 1–18. DOI 10.1017/S0950268818000742. Verfügbar unter: http://hdl.handle.net/11654/26234