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Risk Maps for the Spread of Highly Pathogenic Avian Influenza in Poultry

Devastating epidemics of highly contagious animal diseases such as avian influenza, classical swine fever, and foot-and-mouth disease underline the need for improved understanding of the factors promoting the spread of these pathogens. Here the authors present a spatial analysis of the between-farm...

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Detalles Bibliográficos
Autores principales: Boender, Gert Jan, Hagenaars, Thomas J, Bouma, Annemarie, Nodelijk, Gonnie, Elbers, Armin R. W, de Jong, Mart C. M, van Boven, Michiel
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1853123/
https://www.ncbi.nlm.nih.gov/pubmed/17447838
http://dx.doi.org/10.1371/journal.pcbi.0030071
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author Boender, Gert Jan
Hagenaars, Thomas J
Bouma, Annemarie
Nodelijk, Gonnie
Elbers, Armin R. W
de Jong, Mart C. M
van Boven, Michiel
author_facet Boender, Gert Jan
Hagenaars, Thomas J
Bouma, Annemarie
Nodelijk, Gonnie
Elbers, Armin R. W
de Jong, Mart C. M
van Boven, Michiel
author_sort Boender, Gert Jan
collection PubMed
description Devastating epidemics of highly contagious animal diseases such as avian influenza, classical swine fever, and foot-and-mouth disease underline the need for improved understanding of the factors promoting the spread of these pathogens. Here the authors present a spatial analysis of the between-farm transmission of a highly pathogenic H7N7 avian influenza virus that caused a large epidemic in The Netherlands in 2003. The authors developed a method to estimate key parameters determining the spread of highly transmissible animal diseases between farms based on outbreak data. The method allows for the identification of high-risk areas for propagating spread in an epidemiologically underpinned manner. A central concept is the transmission kernel, which determines the probability of pathogen transmission from infected to uninfected farms as a function of interfarm distance. The authors show how an estimate of the transmission kernel naturally provides estimates of the critical farm density and local reproduction numbers, which allows one to evaluate the effectiveness of control strategies. For avian influenza, the analyses show that there are two poultry-dense areas in The Netherlands where epidemic spread is possible, and in which local control measures are unlikely to be able to halt an unfolding epidemic. In these regions an epidemic can only be brought to an end by the depletion of susceptible farms by infection or massive culling. The analyses provide an estimate of the spatial range over which highly pathogenic avian influenza viruses spread between farms, and emphasize that control measures aimed at controlling such outbreaks need to take into account the local density of farms.
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spelling pubmed-18531232007-04-20 Risk Maps for the Spread of Highly Pathogenic Avian Influenza in Poultry Boender, Gert Jan Hagenaars, Thomas J Bouma, Annemarie Nodelijk, Gonnie Elbers, Armin R. W de Jong, Mart C. M van Boven, Michiel PLoS Comput Biol Research Article Devastating epidemics of highly contagious animal diseases such as avian influenza, classical swine fever, and foot-and-mouth disease underline the need for improved understanding of the factors promoting the spread of these pathogens. Here the authors present a spatial analysis of the between-farm transmission of a highly pathogenic H7N7 avian influenza virus that caused a large epidemic in The Netherlands in 2003. The authors developed a method to estimate key parameters determining the spread of highly transmissible animal diseases between farms based on outbreak data. The method allows for the identification of high-risk areas for propagating spread in an epidemiologically underpinned manner. A central concept is the transmission kernel, which determines the probability of pathogen transmission from infected to uninfected farms as a function of interfarm distance. The authors show how an estimate of the transmission kernel naturally provides estimates of the critical farm density and local reproduction numbers, which allows one to evaluate the effectiveness of control strategies. For avian influenza, the analyses show that there are two poultry-dense areas in The Netherlands where epidemic spread is possible, and in which local control measures are unlikely to be able to halt an unfolding epidemic. In these regions an epidemic can only be brought to an end by the depletion of susceptible farms by infection or massive culling. The analyses provide an estimate of the spatial range over which highly pathogenic avian influenza viruses spread between farms, and emphasize that control measures aimed at controlling such outbreaks need to take into account the local density of farms. Public Library of Science 2007-04 2007-04-20 /pmc/articles/PMC1853123/ /pubmed/17447838 http://dx.doi.org/10.1371/journal.pcbi.0030071 Text en © 2007 Boender et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Boender, Gert Jan
Hagenaars, Thomas J
Bouma, Annemarie
Nodelijk, Gonnie
Elbers, Armin R. W
de Jong, Mart C. M
van Boven, Michiel
Risk Maps for the Spread of Highly Pathogenic Avian Influenza in Poultry
title Risk Maps for the Spread of Highly Pathogenic Avian Influenza in Poultry
title_full Risk Maps for the Spread of Highly Pathogenic Avian Influenza in Poultry
title_fullStr Risk Maps for the Spread of Highly Pathogenic Avian Influenza in Poultry
title_full_unstemmed Risk Maps for the Spread of Highly Pathogenic Avian Influenza in Poultry
title_short Risk Maps for the Spread of Highly Pathogenic Avian Influenza in Poultry
title_sort risk maps for the spread of highly pathogenic avian influenza in poultry
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1853123/
https://www.ncbi.nlm.nih.gov/pubmed/17447838
http://dx.doi.org/10.1371/journal.pcbi.0030071
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