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Surveillance tools and strategies for animal diseases in a shifting climate context

Published online by Cambridge University Press:  23 October 2013

Mo D. Salman
Mo D. Salman*
Affiliation:
Animal Population Health Institute, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO, 80523, USA
*
E-mail: m.d.salman@colostate.edu
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Abstract

Animal disease surveillance is watching an animal population closely to determine if a specific disease or a group of diseases makes an incursion so that a prior plan of action can be implemented. The purpose of this paper is to review existing tools and techniques for an animal disease-surveillance system that can incorporate the monitoring of climate factors and related data to enhance understanding of disease epidemiology. In recent decades, there has been interest in building information systems by combining various data sources for different purposes. Within the field of animal health, there have only been limited attempts at the integration of surveillance data with relevant climate conditions. Statistical techniques for data integration, however, have been explored and used by several disciplines. Clearly the application of available techniques for linking climate data with surveillance systems should be explored with the aim of facilitating prevention, mitigation, and adaptation responses in the surveillance setting around climate change and animal disease risks. Drawing on this wider body of work, three of the available techniques that can be utilized in the analysis of surveillance data with the available climate data sets are reviewed.

Keywords

disease surveillanceclimate changeanimal disease riskdisease monitoringmeta-analysispath analysistime-series analysis
Type
Review Article
Information
Animal Health Research Reviews , Volume 14 , Issue 2 , December 2013 , pp. 147 - 150
Copyright
Copyright © Cambridge University Press 2013 

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