Model to Track Wild Birds for Avian Influenza by Means of Population Dynamics and Surveillance Information
Alba-Casals, Ana (Institut de Recerca i Tecnologia Agroalimentàries. Centre de Recerca en Sanitat Animal)
Vidal Esquerre, Francesc (Parc Natural del Delta de l'Ebre. Departament de Medi Ambient i Habitatge)
Curcó i Masip, Antoni
Allepuz Palau, Alberto (Institut de Recerca i Tecnologia Agroalimentàries. Centre de Recerca en Sanitat Animal)
Napp Avelli, Sebastián (Institut de Recerca i Tecnologia Agroalimentàries. Centre de Recerca en Sanitat Animal)
García-Bocanegra, Ignacio (Institut de Recerca i Tecnologia Agroalimentàries. Centre de Recerca en Sanitat Animal)
Costa, Taiana P. (Universitat Autònoma de Barcelona. Departament de Sanitat i d'Anatomia Animals)
Casal i Fàbrega, Jordi (Universitat Autònoma de Barcelona. Departament de Sanitat i d'Anatomia Animals)
Bicout, Dominique J.

Data:	2012
Resum:	Design, sampling and data interpretation constitute an important challenge for wildlife surveillance of avian influenza viruses (AIV). The aim of this study was to construct a model to improve and enhance identification in both different periods and locations of avian species likely at high risk of contact with AIV in a specific wetland. This study presents an individual-based stochastic model for the Ebre Delta as an example of this appliance. Based on the Monte-Carlo method, the model simulates the dynamics of the spread of AIV among wild birds in a natural park following introduction of an infected bird. Data on wild bird species population, apparent AIV prevalence recorded in wild birds during the period of study, and ecological information on factors such as behaviour, contact rates or patterns of movements of waterfowl were incorporated as inputs of the model. From these inputs, the model predicted those species that would introduce most of AIV in different periods and those species and areas that would be at high risk as a consequence of the spread of these AIV incursions. This method can serve as a complementary tool to previous studies to optimize the allocation of the limited AI surveillance resources in a local complex ecosystem. However, this study indicates that in order to predict the evolution of the spread of AIV at the local scale, there is a need for further research on the identification of host factors involved in the interspecies transmission of AIV.
Drets:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Llengua:	Anglès
Document:	Article ; recerca ; Versió publicada
Matèria:	Birds ; Gulls ; Waterfowl ; Avian influenza ; Animal migration ; Ducks ; Ecosystems ; Infectious disease surveillance
Publicat a:	PloS one, Vol. 7 Issue 8 (August 2012) , p. e44354, ISSN 1932-6203

DOI: 10.1371/journal.pone.0044354
PMID: 22952962

11 p, 890.9 KB

El registre apareix a les col·leccions:
Documents de recerca > Documents dels grups de recerca de la UAB > Centres i grups de recerca (producció científica) > Ciències de la salut i biociències > Centre de Recerca en Sanitat Animal (CReSA-IRTA)
Articles > Articles de recerca
Articles > Articles publicats