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Application of Species Distribution Modeling for Avian Influenza surveillance in the United States considering the North America Migratory Flyways

Highly Pathogenic Avian Influenza (HPAI) has recently (2014–2015) re-emerged in the United States (US) causing the largest outbreak in US history with 232 outbreaks and an estimated economic impact of $950 million. This study proposes to use suitability maps for Low Pathogenic Avian Influenza (LPAI)...

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Autores principales: Belkhiria, Jaber, Alkhamis, Moh A., Martínez-López, Beatriz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5021976/
https://www.ncbi.nlm.nih.gov/pubmed/27624404
http://dx.doi.org/10.1038/srep33161
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author Belkhiria, Jaber
Alkhamis, Moh A.
Martínez-López, Beatriz
author_facet Belkhiria, Jaber
Alkhamis, Moh A.
Martínez-López, Beatriz
author_sort Belkhiria, Jaber
collection PubMed
description Highly Pathogenic Avian Influenza (HPAI) has recently (2014–2015) re-emerged in the United States (US) causing the largest outbreak in US history with 232 outbreaks and an estimated economic impact of $950 million. This study proposes to use suitability maps for Low Pathogenic Avian Influenza (LPAI) to identify areas at high risk for HPAI outbreaks. LPAI suitability maps were based on wild bird demographics, LPAI surveillance, and poultry density in combination with environmental, climatic, and socio-economic risk factors. Species distribution modeling was used to produce high-resolution (cell size: 500m x 500m) maps for Avian Influenza (AI) suitability in each of the four North American migratory flyways (NAMF). Results reveal that AI suitability is heterogeneously distributed throughout the US with higher suitability in specific zones of the Midwest and coastal areas. The resultant suitability maps adequately predicted most of the HPAI outbreak areas during the 2014–2015 epidemic in the US (i.e. 89% of HPAI outbreaks were located in areas identified as highly suitable for LPAI). Results are potentially useful for poultry producers and stakeholders in designing risk-based surveillance, outreach and intervention strategies to better prevent and control future HPAI outbreaks in the US.
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spelling pubmed-50219762016-09-20 Application of Species Distribution Modeling for Avian Influenza surveillance in the United States considering the North America Migratory Flyways Belkhiria, Jaber Alkhamis, Moh A. Martínez-López, Beatriz Sci Rep Article Highly Pathogenic Avian Influenza (HPAI) has recently (2014–2015) re-emerged in the United States (US) causing the largest outbreak in US history with 232 outbreaks and an estimated economic impact of $950 million. This study proposes to use suitability maps for Low Pathogenic Avian Influenza (LPAI) to identify areas at high risk for HPAI outbreaks. LPAI suitability maps were based on wild bird demographics, LPAI surveillance, and poultry density in combination with environmental, climatic, and socio-economic risk factors. Species distribution modeling was used to produce high-resolution (cell size: 500m x 500m) maps for Avian Influenza (AI) suitability in each of the four North American migratory flyways (NAMF). Results reveal that AI suitability is heterogeneously distributed throughout the US with higher suitability in specific zones of the Midwest and coastal areas. The resultant suitability maps adequately predicted most of the HPAI outbreak areas during the 2014–2015 epidemic in the US (i.e. 89% of HPAI outbreaks were located in areas identified as highly suitable for LPAI). Results are potentially useful for poultry producers and stakeholders in designing risk-based surveillance, outreach and intervention strategies to better prevent and control future HPAI outbreaks in the US. Nature Publishing Group 2016-09-14 /pmc/articles/PMC5021976/ /pubmed/27624404 http://dx.doi.org/10.1038/srep33161 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Belkhiria, Jaber
Alkhamis, Moh A.
Martínez-López, Beatriz
Application of Species Distribution Modeling for Avian Influenza surveillance in the United States considering the North America Migratory Flyways
title Application of Species Distribution Modeling for Avian Influenza surveillance in the United States considering the North America Migratory Flyways
title_full Application of Species Distribution Modeling for Avian Influenza surveillance in the United States considering the North America Migratory Flyways
title_fullStr Application of Species Distribution Modeling for Avian Influenza surveillance in the United States considering the North America Migratory Flyways
title_full_unstemmed Application of Species Distribution Modeling for Avian Influenza surveillance in the United States considering the North America Migratory Flyways
title_short Application of Species Distribution Modeling for Avian Influenza surveillance in the United States considering the North America Migratory Flyways
title_sort application of species distribution modeling for avian influenza surveillance in the united states considering the north america migratory flyways
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5021976/
https://www.ncbi.nlm.nih.gov/pubmed/27624404
http://dx.doi.org/10.1038/srep33161
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