title: Global animal disease surveillance.
abstract: Development and implementation of global animal disease surveillance has been limited by the lack of information systems that enable near real-time data capturing, sharing, analysis, and related decision- and policy-making. The objective of this paper is to describe requirements for global animal disease surveillance, including design and functionality of tools and methods for visualization and analysis of animal disease data. The paper also explores the potential application of techniques for spatial and spatio-temporal analysis on global animal disease surveillance, including for example, landscape genetics, social network analysis, and Bayesian modeling. Finally, highly pathogenic avian influenza data from Denmark and Sweden are used to illustrate the potential application of a novel system (Disease BioPortal) for data sharing, visualization, and analysis for regional and global surveillance efforts.
authors: Center for Animal Disease Modeling and Surveillance, School of Veterinary Medicine, University of California, Davis, USA. amperez@ucdavis.edu
authors: A
authors: A
authors: Perez
authors: M
authors: M
authors: Alkhamis
authors: U
authors: U
authors: Carlsson
authors: B
authors: B
authors: Brito
authors: R
authors: R
authors: Carrasco-Medanic
authors: Z
authors: Z
authors: Whedbee
authors: P
authors: P
authors: Willeberg
mesh_terms: D000820:Animal Diseases / Q000453:epidemiology; D000818:Animals; D001499:Bayes Theorem; D001717:Birds; D003627:Data Interpretation, Statistical; D003718:Denmark / Q000453:epidemiology; D004196:Disease Outbreaks / Q000706:statistics & numerical data*; D062665:Epidemiological Monitoring / Q000662:veterinary; D062306:Geography, Medical / Q000379:methods / Q000706:statistics & numerical data; D053118:Influenza A Virus, H1N1 Subtype; D005585:Influenza in Birds / Q000453:epidemiology*; D038622:Internationality; D062206:Spatial Analysis; D013548:Sweden / Q000453:epidemiology