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.
Bibliographical noteFunding Information:
The authors acknowledge Andrea Marcos from the Epidemiology and Risk Analysis Division (SENASA) and Mar?a Eugenia Ferrer from the Avian Health Program (SENASA), who provided data from SENASA's Avian Influenza Surveillance Program and geographic locations for poultry farms in Argentina.
2Marine and Freshwater Research Institute, Reykjavík, Iceland 3Wetlands International/Fundación Humedales, Buenos Aires, Argentina 4Veterinary Epidemiology and Public Health Group, Department of Veterinary Clinical Sciences, Royal Veterinary College, London, UK 5Departamento de Ciencias de la Administración, Universidad Nacional del Sur, Bahía Blanca, Argentina
© 2019 Blackwell Verlag GmbH
- backyard poultry
- knowledge-driven spatial modelling
- low pathogenicity avian influenza
- risk factors
- wild birds