The Nordic Society for Veterinary Epidemiology (NOSOVE) is an informal organization with the vision of advancing veterinary epidemiology. The volunteering board aim to fulfill the vision by providing courses and opportunities to socialise and strengthen the network among post graduate students, researchers and others with an interest in epidemiology. Events are presented through the society network (blogspot).
NOSOVE started in 1988 as a collaboration between the Nordic countries Denmark, Finland, Iceland, Norway and Sweden, and has expanded to include the Baltic countries, but welcome members and participants from all countries.

Friday, 12 February 2016

Course announcement: Genetic Epidemiology of Infectious Diseases in Livestock

Genetic Epidemiology of Infectious Diseases in Livestock
NOVA PhD course of 3 ECTS, organised by Dirk Jan de Koning, Swedish University of Agricultural Sciences (SLU).
Preliminary dates and location: 7-11 June 2016 in Uppland, Sweden.

https://www.nmbu.no/en/students/nova/students/phd-courses/phd-2016/node/23527

Friday, 5 February 2016

Conference announcement: The first conference in aquatic animal epidemiology, Oslo, Norway, September 20th - 22nd, 2016

[On behalf of AquaEpi organisers]

Welcome to the first conference in aquatic animal epidemiology, Oslo, Norway, September 20th - 22nd, 2016
Link to course website

The conference aims to bring together leading scientists, researchers and research students from all parts of the world to exchange and share their experiences and research results about all aspects of Aquatic Animal Epidemiology. It will also provide a platform for discussion about how to meet the research needs of aquaculture industry and facilitate interaction with stakeholders, industry and regulatory agencies for fruitful collaborations.

The conference will provide in-depth coverage of current and future epidemiological tools and their practical implications to aquaculture. Topic-focused sessions will cover but not limit to:
·          optimizing use of epidemiology data
·         design and evaluation of risk factor studies
·         molecular epidemiology
·         spatial and temporal patterns in prevalence and risk mapping
·         diagnostic misclassification
·         design and evaluation of surveillance and control
·         risk analysis