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dc.contributor.author
Willeberg, Preben  
dc.contributor.author
Perez, Andres Maximiliano  
dc.contributor.author
Thurmond, Mark  
dc.contributor.author
Ascher, Mike  
dc.contributor.author
Carpenter, Tim  
dc.contributor.author
AlKhamis, Mohammad  
dc.date.available
2024-08-07T12:28:35Z  
dc.date.issued
2010-01  
dc.identifier.citation
Willeberg, Preben; Perez, Andres Maximiliano; Thurmond, Mark; Ascher, Mike; Carpenter, Tim; et al.; Visualization and Analysis of the Danish 2006 Highly Pathogenic Avian Influenza Virus H5N1 Wild Bird Surveillance Data by a Prototype Avian Influenza BioPortal; American Association of Avian Pathologists; Avian Diseases; 54; s1; 1-2010; 433-439  
dc.identifier.issn
0005-2086  
dc.identifier.uri
http://hdl.handle.net/11336/241982  
dc.description.abstract
Infection with highly pathogenic avian influenza virus H5N1 occurred for the first time in Denmark in 2006 during the last part of the European epidemic that mainly affected migrating wild birds. The total number of Danish wild bird cases was 45, of which only one was found through active surveillance using fecal sampling from resting areas for migrating species, whereas passive surveillance of dead wild birds provided 44 cases. One backyard, mixed poultry flock also became infected late in the epidemic. This study describes the spatial and temporal distribution of cases, initially characterized by a spatial-temporal cluster of affected tufted ducks that led to further spread to other wild bird species in the vicinity. The surveillance data also indicate an apparent die-off of the regional epidemic. As a tool in visualizing the spatial and temporal development of the epidemic, a prototype avian influenza (AI) BioPortal was used to provide online web-based access to the data. The AI BioPortal tools include mapping, graphing, phylogenetic tree construction, playback scenarios, and visualization of results of temporal-spatial analyses. Several of the features of this surveillance system compare favorably to the design of existing national and international surveillance information systems, and the AI BioPortal may become a useful tool for disease surveillance and for decision support in the event of future AI epidemics, both at national and international levels.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
American Association of Avian Pathologists  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
AVIAN INFLUENZA  
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TRANSMISSION RATE  
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SURVEILLANCE  
dc.subject.classification
Ciencias Veterinarias  
dc.subject.classification
Ciencias Veterinarias  
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CIENCIAS AGRÍCOLAS  
dc.title
Visualization and Analysis of the Danish 2006 Highly Pathogenic Avian Influenza Virus H5N1 Wild Bird Surveillance Data by a Prototype Avian Influenza BioPortal  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2024-08-06T14:58:20Z  
dc.journal.volume
54  
dc.journal.number
s1  
dc.journal.pagination
433-439  
dc.journal.pais
Estados Unidos  
dc.description.fil
Fil: Willeberg, Preben. University of California; Estados Unidos  
dc.description.fil
Fil: Perez, Andres Maximiliano. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario; Argentina. University of California; Estados Unidos  
dc.description.fil
Fil: Thurmond, Mark. University of California; Estados Unidos  
dc.description.fil
Fil: Ascher, Mike. University of California; Estados Unidos  
dc.description.fil
Fil: Carpenter, Tim. University of California; Estados Unidos  
dc.description.fil
Fil: AlKhamis, Mohammad. University of California; Estados Unidos  
dc.journal.title
Avian Diseases  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://bioone.org/journals/avian-diseases/volume-54/issue-s1/8820-040209-Reg.1/Visualization-and-Analysis-of-the-Danish-2006-Highly-Pathogenic-Avian/10.1637/8820-040209-Reg.1.short  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.1637/8820-040209-Reg.1