Wild Bird Densities and Landscape Variables Predict Spatial Patterns in HPAI Outbreak Risk across The Netherlands

Highly pathogenic avian influenza viruses’ (HPAIVs) transmission from wild birds to poultry occurs globally, threatening animal and public health. To predict the HPAI outbreak risk in relation to wild bird densities and land cover variables, we performed a case-control study of 26 HPAI outbreaks (ca...

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Published in:Pathogens
Main Authors: Janneke Schreuder, Henrik J. de Knegt, Francisca C. Velkers, Armin R. W. Elbers, Julia Stahl, Roy Slaterus, J. Arjan Stegeman, Willem F. de Boer
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2022
Subjects:
R
Online Access:https://doi.org/10.3390/pathogens11050549
https://doaj.org/article/9e362bbcbe06454fba4bb938116bebaa
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spelling ftdoajarticles:oai:doaj.org/article:9e362bbcbe06454fba4bb938116bebaa 2023-05-15T15:46:03+02:00 Wild Bird Densities and Landscape Variables Predict Spatial Patterns in HPAI Outbreak Risk across The Netherlands Janneke Schreuder Henrik J. de Knegt Francisca C. Velkers Armin R. W. Elbers Julia Stahl Roy Slaterus J. Arjan Stegeman Willem F. de Boer 2022-05-01T00:00:00Z https://doi.org/10.3390/pathogens11050549 https://doaj.org/article/9e362bbcbe06454fba4bb938116bebaa EN eng MDPI AG https://www.mdpi.com/2076-0817/11/5/549 https://doaj.org/toc/2076-0817 doi:10.3390/pathogens11050549 2076-0817 https://doaj.org/article/9e362bbcbe06454fba4bb938116bebaa Pathogens, Vol 11, Iss 549, p 549 (2022) avian influenza influenza A virus highly pathogenic avian influenza poultry disease outbreaks surveillance Medicine R article 2022 ftdoajarticles https://doi.org/10.3390/pathogens11050549 2022-12-30T20:02:03Z Highly pathogenic avian influenza viruses’ (HPAIVs) transmission from wild birds to poultry occurs globally, threatening animal and public health. To predict the HPAI outbreak risk in relation to wild bird densities and land cover variables, we performed a case-control study of 26 HPAI outbreaks (cases) on Dutch poultry farms, each matched with four comparable controls. We trained machine learning classifiers to predict outbreak risk with predictors analyzed at different spatial scales. Of the 20 best explaining predictors, 17 consisted of densities of water-associated bird species, 2 of birds of prey, and 1 represented the surrounding landscape, i.e., agricultural cover. The spatial distribution of mallard ( Anas platyrhynchos ) contributed most to risk prediction, followed by mute swan ( Cygnus olor ), common kestrel ( Falco tinnunculus ) and brant goose ( Branta bernicla ). The model successfully distinguished cases from controls, with an area under the receiver operating characteristic curve of 0.92, indicating accurate prediction of HPAI outbreak risk despite the limited numbers of cases. Different classification algorithms led to similar predictions, demonstrating robustness of the risk maps. These analyses and risk maps facilitate insights into the role of wild bird species and support prioritization of areas for surveillance, biosecurity measures and establishments of new poultry farms to reduce HPAI outbreak risks. Article in Journal/Newspaper brant goose Branta bernicla Directory of Open Access Journals: DOAJ Articles Olor ENVELOPE(88.531,88.531,69.600,69.600) Pathogens 11 5 549
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic avian influenza
influenza A virus
highly pathogenic avian influenza
poultry
disease outbreaks
surveillance
Medicine
R
spellingShingle avian influenza
influenza A virus
highly pathogenic avian influenza
poultry
disease outbreaks
surveillance
Medicine
R
Janneke Schreuder
Henrik J. de Knegt
Francisca C. Velkers
Armin R. W. Elbers
Julia Stahl
Roy Slaterus
J. Arjan Stegeman
Willem F. de Boer
Wild Bird Densities and Landscape Variables Predict Spatial Patterns in HPAI Outbreak Risk across The Netherlands
topic_facet avian influenza
influenza A virus
highly pathogenic avian influenza
poultry
disease outbreaks
surveillance
Medicine
R
description Highly pathogenic avian influenza viruses’ (HPAIVs) transmission from wild birds to poultry occurs globally, threatening animal and public health. To predict the HPAI outbreak risk in relation to wild bird densities and land cover variables, we performed a case-control study of 26 HPAI outbreaks (cases) on Dutch poultry farms, each matched with four comparable controls. We trained machine learning classifiers to predict outbreak risk with predictors analyzed at different spatial scales. Of the 20 best explaining predictors, 17 consisted of densities of water-associated bird species, 2 of birds of prey, and 1 represented the surrounding landscape, i.e., agricultural cover. The spatial distribution of mallard ( Anas platyrhynchos ) contributed most to risk prediction, followed by mute swan ( Cygnus olor ), common kestrel ( Falco tinnunculus ) and brant goose ( Branta bernicla ). The model successfully distinguished cases from controls, with an area under the receiver operating characteristic curve of 0.92, indicating accurate prediction of HPAI outbreak risk despite the limited numbers of cases. Different classification algorithms led to similar predictions, demonstrating robustness of the risk maps. These analyses and risk maps facilitate insights into the role of wild bird species and support prioritization of areas for surveillance, biosecurity measures and establishments of new poultry farms to reduce HPAI outbreak risks.
format Article in Journal/Newspaper
author Janneke Schreuder
Henrik J. de Knegt
Francisca C. Velkers
Armin R. W. Elbers
Julia Stahl
Roy Slaterus
J. Arjan Stegeman
Willem F. de Boer
author_facet Janneke Schreuder
Henrik J. de Knegt
Francisca C. Velkers
Armin R. W. Elbers
Julia Stahl
Roy Slaterus
J. Arjan Stegeman
Willem F. de Boer
author_sort Janneke Schreuder
title Wild Bird Densities and Landscape Variables Predict Spatial Patterns in HPAI Outbreak Risk across The Netherlands
title_short Wild Bird Densities and Landscape Variables Predict Spatial Patterns in HPAI Outbreak Risk across The Netherlands
title_full Wild Bird Densities and Landscape Variables Predict Spatial Patterns in HPAI Outbreak Risk across The Netherlands
title_fullStr Wild Bird Densities and Landscape Variables Predict Spatial Patterns in HPAI Outbreak Risk across The Netherlands
title_full_unstemmed Wild Bird Densities and Landscape Variables Predict Spatial Patterns in HPAI Outbreak Risk across The Netherlands
title_sort wild bird densities and landscape variables predict spatial patterns in hpai outbreak risk across the netherlands
publisher MDPI AG
publishDate 2022
url https://doi.org/10.3390/pathogens11050549
https://doaj.org/article/9e362bbcbe06454fba4bb938116bebaa
long_lat ENVELOPE(88.531,88.531,69.600,69.600)
geographic Olor
geographic_facet Olor
genre brant goose
Branta bernicla
genre_facet brant goose
Branta bernicla
op_source Pathogens, Vol 11, Iss 549, p 549 (2022)
op_relation https://www.mdpi.com/2076-0817/11/5/549
https://doaj.org/toc/2076-0817
doi:10.3390/pathogens11050549
2076-0817
https://doaj.org/article/9e362bbcbe06454fba4bb938116bebaa
op_doi https://doi.org/10.3390/pathogens11050549
container_title Pathogens
container_volume 11
container_issue 5
container_start_page 549
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