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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)...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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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. |
format | Online Article Text |
id | pubmed-5021976 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
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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