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Jeroen Dewulf

Full professor, Ghent University. Faculty of Veterinary Medicine, Department of Reproduction, Obstetrics and Herd Health, Merelbeke


Jeroen Dewulf graduated in 1998 as a veterinarian from the Faculty of Veterinary Medicine of the Ghent University, Belgium. In 2002 he finished his PhD on the epidemiology and control of classical swine fever. In that same year he received a master of science degree in veterinary epidemiology from the University of Utrecht, the Netherlands (Cum Laude). He became diplomat in the European College of Veterinary Public Health in 2005.


Currently he is full professor in Veterinary Epidemiology at the Faculty of Veterinary Medicine of the Ghent University. His main research interests are quantitative epidemiology and control of zoonoses with a specific emphasis on antimicrobial use and resistance in animals as well as the prevention of epidemic and endemic diseases with a focus on the application of biosecurity measures.


He is the head of the Veterinary Epidemiology Unit and is supervising over 10 PhD students who are doing research in the field of veterinary epidemiology. He is (co-)author of over 300 A1 publications in the field of veterinary epidemiology with a H-index of 45.


He is the principal author of the annual Belgian report on antimicrobial consumption in animals (BelVetSac) and chair of the JPI-AMR network on quantification of antimicrobial consumption in animals at herd level. Since 2009 he is member of the scientific committee of the Belgian federal food Agency and is the founder and chair of board of the center of expertise on antimicrobial use and resistance in animals (AMCRA) in Belgium. He is also the author of the book “biosecurity in animal production and veterinary medicine” as well as the book “8 myths on antimicrobial resistance disproved, practical guide for reducing antibiotic use in animal husbandry




  • Veterinary epidemiology

  • Preventive veterinary medicine

  • Animal disease control

  • Veterinary public health

  • Antimicrobial resistance

  • Biosecurity

  • Applied statistics



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