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Artículo

Spatial modelling for low pathogenicity avian influenza virus at the interface of wild birds and backyard poultry

la Sala, Luciano FranciscoIcon ; Burgos, Julian Mariano; Blanco, Daniel Ezequiel Roberto; Stevens, Kim B.; Fernández, Andrea R.; Capobianco, GuillermoIcon ; Tohmé, Fernando AbelIcon ; Perez, Andres MaximilianoIcon
Fecha de publicación: 07/2019
Editorial: Wiley Blackwell Publishing, Inc
Revista: Transboundary And Emerging Diseases
ISSN: 1865-1674
e-ISSN: 1865-1682
Idioma: Inglés
Tipo de recurso: Artículo publicado
Clasificación temática:
Otras Ciencias Naturales y Exactas

Resumen

Low pathogenicity avian influenza virus (LPAIV) is endemic in wild birds and poultry in Argentina, and active surveillance has been in place to prevent any eventual virus mutation into a highly pathogenic avian influenza virus (HPAIV), which is exotic in this country. Risk mapping can contribute effectively to disease surveillance and control systems, but it has proven a very challenging task in the absence of disease data. We used a combination of expert opinion elicitation, multicriteria decision analysis (MCDA) and ecological niche modelling (ENM) to identify the most suitable areas for the occurrence of LPAIV at the interface between backyard domestic poultry and wild birds in Argentina. This was achieved by calculating a spatially explicit risk index. As evidenced by the validation and sensitivity analyses, our model was successful in identifying high-risk areas for LPAIV occurrence. Also, we show that the risk for virus occurrence is significantly higher in areas closer to commercial poultry farms. Although the active surveillance systems have been successful in detecting LPAIV-positive backyard farms and wild birds in Argentina, our predictions suggest that surveillance efforts in those compartments could be improved by including high-risk areas identified by our model. Our research provides a tool to guide surveillance activities in the future, and presents a mixed methodological approach which could be implemented in areas where the disease is exotic or rare and a knowledge-driven modelling method is necessary.
Palabras clave: BACKYARD POULTRY , KNOWLEDGE-DRIVEN SPATIAL MODELLING , LOW PATHOGENICITY AVIAN INFLUENZA , RISK FACTORS , WILD BIRDS
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info:eu-repo/semantics/restrictedAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
Identificadores
URI: http://hdl.handle.net/11336/92814
URL: https://onlinelibrary.wiley.com/doi/full/10.1111/tbed.13136
DOI: http://dx.doi.org/10.1111/tbed.13136
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Articulos(INMABB)
Articulos de INST.DE MATEMATICA BAHIA BLANCA (I)
Citación
la Sala, Luciano Francisco; Burgos, Julian Mariano; Blanco, Daniel Ezequiel Roberto; Stevens, Kim B.; Fernández, Andrea R.; et al.; Spatial modelling for low pathogenicity avian influenza virus at the interface of wild birds and backyard poultry; Wiley Blackwell Publishing, Inc; Transboundary And Emerging Diseases; 66; 4; 7-2019; 1493-1505
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