September 24, 2009 Leave a comment
September 14, 2009 Leave a comment
Editors: Rabinowitz, P. Conti, L.
Release Date: December 2009
Abstract: Human-Animal Medicine focuses on the emerging diseases that cross between animals and humans, and points out the important environmental changes related to land use, climate change, intensification of food production, and other factors that help manifest these diseases. This evidence-based practice manual is designed to help you manage a wide range of clinical problems at the intersection of human and animal health, with practical steps for implementing the concept of “One Health” in daily practice of human and veterinary medicine and public health. Develop all the skills you need to effectively manage human-animal health problems with this timely, comprehensive resource.
Link to more detail on the book.
September 12, 2009 Leave a comment
Authors: Scotch M, Odofin L, Rabinowitz P.
Journal: BMC Veterinary Research
Abstract: In order to identify priorities for building integrated surveillance systems that effectively model and predict human risk of zoonotic diseases, there is a need for improved understanding of the practical options for linking surveillance data of animals and humans. We conducted an analysis of the literature and characterized the linkage between animal and human health data. We discuss the findings in relation to zoonotic surveillance and the linkage of human and animal data. METHODS: The Canary Database, an online bibliographic database of animal-sentinel studies was searched and articles were classified according to four linkage categories. RESULTS: 465 studies were identified and assigned to linkage categories involving: descriptive, analytic, molecular, or no human outcomes of human and animal health. Descriptive linkage was the most common, whereby both animal and human health outcomes were presented, but without quantitative linkage between the two. Rarely, analytic linkage was utilized in which animal data was used to quantitatively predict human risk. The other two categories included molecular linkage, and no human outcomes, which present health outcomes in animals but not humans. DISCUSSION: We found limited use of animal data to quantitatively predict human risk and listed the methods from the literature that performed analytic linkage. The lack of analytic linkage in the literature might not be solely related to technological barriers including access to electronic database, statistical software packages, and Geographical Information System (GIS). Rather, the problem might be from a lack of understanding by researchers of the importance of animal data as a ‘sentinel’ for human health. Researchers performing zoonotic surveillance should be aware of the value of animal-sentinel approaches for predicting human risk and consider analytic methods for linking animal and human data. Qualitative work needs to be done in order to examine researchers’ decisions in linkage strategies between animal and human data.
Article on PubMed
September 12, 2009 Leave a comment
Authors: Rabinowitz, P, Scotch M, Conti L
Journal: Veterinaria Italiana
Abstract: The tracking of sentinel health events in humans in order to detect and manage disease risks facing a larger population is a well accepted technique applied to influenza, occupational conditions and emerging infectious diseases. Similarly, animal health professionals routinely track disease events in sentinel animal colonies and sentinel herds. The use of animals as sentinels for human health threats, or of humans as sentinels for animal disease risk, dates back at least to the era when coal miners brought caged canaries into mines to provide early warning of toxic gases. Yet the full potential of linking animal and human health information to provide warning of such ‘shared risks’ from environmental hazards has not been realised. Reasons appear to include the professional segregation of human and animal health communities, the separation of human and animal surveillance data and evidence gaps in the linkages between human and animal responses to environmental health hazards. The ‘One Health initiative’ and growing international collaboration in response to pandemic threats, coupled with development in the fields of informatics and genomics, hold promise for improved sentinel event coordination in order to detect and reduce environmental health threats shared between species.
Link to article on journal’s website.