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Capacity of a Bayesian model to detect infected herds using disease dynamics and risk factor information from surveillance programmes: A simulation study.
Mercat, M; van Roon, A M; Santman-Berends, I; van Schaik, G; Nielen, M; Graham, D; More, S J; Guelbenzu-Gonzalo, M; Fourichon, C; Madouasse, A.
Affiliation
  • Mercat M; INRAE, Oniris, BIOEPAR, Nantes, 44300, France.
  • van Roon AM; Department of Farm Animal Health, Faculty of Veterinary Medicine, Utrecht University, PO Box 80151, 3508, TD Utrecht, the Netherlands.
  • Santman-Berends I; Department of Farm Animal Health, Faculty of Veterinary Medicine, Utrecht University, PO Box 80151, 3508, TD Utrecht, the Netherlands; Royal GD, PO Box 9, 7400 AA, Deventer, the Netherlands.
  • van Schaik G; Department of Farm Animal Health, Faculty of Veterinary Medicine, Utrecht University, PO Box 80151, 3508, TD Utrecht, the Netherlands; Royal GD, PO Box 9, 7400 AA, Deventer, the Netherlands.
  • Nielen M; Department of Farm Animal Health, Faculty of Veterinary Medicine, Utrecht University, PO Box 80151, 3508, TD Utrecht, the Netherlands.
  • Graham D; Animal Health Ireland, Unit 4/5, The Archways, Bridge St., Carrick-on-Shannon, Co. Leitrim, N41 WN27, Ireland.
  • More SJ; Centre for Veterinary Epidemiology and Risk Analysis, UCD School of Veterinary Medicine, University College Dublin, Belfield, Dublin, D04 W6F6, Ireland.
  • Guelbenzu-Gonzalo M; Animal Health Ireland, Unit 4/5, The Archways, Bridge St., Carrick-on-Shannon, Co. Leitrim, N41 WN27, Ireland.
  • Fourichon C; INRAE, Oniris, BIOEPAR, Nantes, 44300, France.
  • Madouasse A; INRAE, Oniris, BIOEPAR, Nantes, 44300, France. Electronic address: aurelien.madouasse@oniris-nantes.fr.
Prev Vet Med ; 200: 105582, 2022 Mar.
Article in En | MEDLINE | ID: mdl-35124405
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cattle Diseases Type of study: Diagnostic_studies / Etiology_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limits: Animals Language: En Journal: Prev Vet Med Year: 2022 Type: Article Affiliation country: France
Fulltext
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XML
PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cattle Diseases Type of study: Diagnostic_studies / Etiology_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limits: Animals Language: En Journal: Prev Vet Med Year: 2022 Type: Article Affiliation country: France