Welcome!

The section of epidemiology is committed to advancing veterinary epidemiology through teaching and research. This includes designing and implementing courses in epidemiology and biostatistics at the undergraduate level and supervising research students at the postgraduate level.

We also offer advice on statistics and study design to all members of the Vetsuisse Faculty in Zurich.

News

  • The open access journal Archives of Public Health is pleased to invite submissions to be considered for publication in a new special issue:

    One health paradigm to foster population health

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  • This year's conference will be held on Wednesday 30th November in Bern.

    Deadline for registration is 11th November.

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  • We offer a great opportunity for a postdoctoral fellow to to review existing methods from many fields that do not belong to classical health disciplines such as education, collective learning processes, data management, network science, etc. that can be used to integrate health of people, animals and the environment.

    We are seeking a highly motivated researcher to work with us for two years.

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  • Applications are now invited for students wishing to commence the online Master of Veterinary Public Health (Emergency Animal Diseases), Diploma or Certificate programs at the University of Melbourne from July.

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  • A postdoctoral position is available in the laboratory of Dr. Sarah Hamer in the Department of Veterinary Integrative Biosciences at Texas A and M University. The successful candidate will expand an ongoing research program on the ecology and epidemiology of Chagas disease in the southern United States, including analyses of kissing bug vectors, wildlife and domestic dog reservoirs, and spillover to human hosts.

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  • The Infectious Disease Research Centre at Massey University is offering a fully funded PhD scholarship through the New Zealand Biological Heritage National Science Challenge project Biosecurity Network Interventions. This is an excellent opportunity for a student wanting to learn cutting-edge network and evolutionary modelling techniques with real world applications.

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