A Short History of the Origins of the European Society of Veterinary Pathology in the Arbeitsgemeinschaft der Veterinärpathologen.

The first continental European association for veterinary pathologists was founded in 1951 as the Arbeitsgemeinschaft der Veterinärpathologen (AG-Vetpath), bringing together veterinary pathologists from Germany, several European countries, and the United States. Yearly meetings were held in conjunction with the Deutsche Gesellschaft für Pathologie (DGP). Although the majority of DGP members were human pathologists, veterinary pathologists had been using the DGP as a forum for scientific exchange since the early 20th century.

Arnold Theiler and colleagues: a -successful cooperation between -Switzerland and South Africa.

The start of the Swiss-South African connection and cooperation dates back to the late 19th century, when a shortage of veterinarians in Transvaal (South African Republic, ZAR) motivated Arnold Theiler to seek his chance there. He became successful and famous fighting a smallpox epidemic and rinderpest after a difficult start as practicing veterinarian. Prior to the establishment of the «Veterinary Bacteriological Laboratories of the Transvaal» in 1908 Theiler as the head of the institution could motivate some Swiss veterinarians to come and work with him.

[Veterinary pathological collections: yesterday - today - tomorrow].

History, relevance and development of veterinary pathological collections are presented by analyzing and comparing the collections from Berlin, Munich, Vienna and Zurich of the 19th and 20th century. The indices of the collections are analyzed according to the frequency of animal species, body parts, organs and disease processes or etiologies respectively. Collection differences allow to draw conclusions on the founder of the collection and historical significance.

Exploring Uncertainty in Canine Cancer Data Sources Through Dasymetric Refinement.

In spite of the potentially groundbreaking environmental sentinel applications, studies of canine cancer data sources are often limited due to undercounting of cancer cases. This source of uncertainty might be further amplified through the process of spatial data aggregation, manifested as part of the modifiable areal unit problem (MAUP). In this study, we explore potential explanatory factors for canine cancer incidence retrieved from the Swiss Canine Cancer Registry (SCCR) in a regression modeling framework.