Willkommen

Ziel unserer Abteilung ist es, die Veterinärepidemiologie mit ihren Methoden und Anwendungen weiter zu entwickeln. Dies geschieht mithilfe von Vorlesungen und Übungen (Epidemiologie und Biostatistik) während dem Veterinärmedizinstudium und für Postgraduierte und von unseren Forschungsprojekten.

Wir bieten Unterstützung in statistischer Beratung (Datenauswertung und Study design) für Mitglieder der Vetsuisse-Fakultät Zürich an.

News

  • In the frame of the COST "Network for evaluation of One Health" Simon Rüegg has edited together with international colleagues the "Handbook to evaluate One Health". It is available as fee eBook or printed on demand.

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  • Animal health has major impacts on human health directly through zoonotic disease transmission, or indirectly through nutritional availability and environmental management. For human health, the Global Burden of Disease (GBD) study has created a comprehensive dataset of diseases, injuries, and risk factors that is used to measure epidemiological levels and trends worldwide. A project to collect an equivalent dataset for animal diseases is being planned.

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  • Over the last year, Giulia and Duriya have joined our unit. Giulia is a veterinary epidemiologist with a strong interest in public health, infectious and zoonotic diseases. Duriya is a young veterinary professional that has obtained her BVSc at the Kazakh National Agrarian University (2011-2016) with a possibility to study meanwhile as a grantee at Wageningen University.

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  • The Network for Evaluation of One Health is holding a final conference for the release of their handbook and to discuss advancements in implementation, evaluation and governance of One Health. It will be held in Bologna and registration is open until August 26th 2018.

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  • "The global burden of congenital toxoplasmosis: a systematic review" by Torgerson et al. was the most cited article of the bulletin of the World Health Organisation in the last 5 years.

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  • The "Zurich R Courses" are a continuing education program offered in cooperation of UZH and ETH Zurich. Within this program, we offer a series of introductory and specialized courses on data analysis and scientific programming with the free open-source software R, that are taught by international experts.

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