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Identification of foot and mouth disease risk areas using a multi-criteria analysis approach

Foot and mouth disease (FMD) is a highly infectious disease that affects cloven-hoofed livestock and wildlife. FMD has been a problem for decades, which has led to various measures to control, eradicate and prevent FMD by National Veterinary Services worldwide. Currently, the identification of areas...

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Autores principales: dos Santos, Diego Viali, Silva, Gustavo Sousa e, Weber, Eliseu José, Hasenack, Heinrich, Groff, Fernando Henrique Sautter, Todeschini, Bernardo, Borba, Mauro Riegert, Medeiros, Antonio Augusto Rosa, Leotti, Vanessa Bielefeldt, Canal, Cláudio Wageck, Corbellini, Luis Gustavo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5446179/
https://www.ncbi.nlm.nih.gov/pubmed/28552973
http://dx.doi.org/10.1371/journal.pone.0178464
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author dos Santos, Diego Viali
Silva, Gustavo Sousa e
Weber, Eliseu José
Hasenack, Heinrich
Groff, Fernando Henrique Sautter
Todeschini, Bernardo
Borba, Mauro Riegert
Medeiros, Antonio Augusto Rosa
Leotti, Vanessa Bielefeldt
Canal, Cláudio Wageck
Corbellini, Luis Gustavo
author_facet dos Santos, Diego Viali
Silva, Gustavo Sousa e
Weber, Eliseu José
Hasenack, Heinrich
Groff, Fernando Henrique Sautter
Todeschini, Bernardo
Borba, Mauro Riegert
Medeiros, Antonio Augusto Rosa
Leotti, Vanessa Bielefeldt
Canal, Cláudio Wageck
Corbellini, Luis Gustavo
author_sort dos Santos, Diego Viali
collection PubMed
description Foot and mouth disease (FMD) is a highly infectious disease that affects cloven-hoofed livestock and wildlife. FMD has been a problem for decades, which has led to various measures to control, eradicate and prevent FMD by National Veterinary Services worldwide. Currently, the identification of areas that are at risk of FMD virus incursion and spread is a priority for FMD target surveillance after FMD is eradicated from a given country or region. In our study, a knowledge-driven spatial model was built to identify risk areas for FMD occurrence and to evaluate FMD surveillance performance in Rio Grande do Sul state, Brazil. For this purpose, multi-criteria decision analysis was used as a tool to seek multiple and conflicting criteria to determine a preferred course of action. Thirteen South American experts analyzed 18 variables associated with FMD introduction and dissemination pathways in Rio Grande do Sul. As a result, FMD higher risk areas were identified at international borders and in the central region of the state. The final model was expressed as a raster surface. The predictive ability of the model assessed by comparing, for each cell of the raster surface, the computed model risk scores with a binary variable representing the presence or absence of an FMD outbreak in that cell during the period 1985 to 2015. Current FMD surveillance performance was assessed, and recommendations were made to improve surveillance activities in critical areas.
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spelling pubmed-54461792017-06-12 Identification of foot and mouth disease risk areas using a multi-criteria analysis approach dos Santos, Diego Viali Silva, Gustavo Sousa e Weber, Eliseu José Hasenack, Heinrich Groff, Fernando Henrique Sautter Todeschini, Bernardo Borba, Mauro Riegert Medeiros, Antonio Augusto Rosa Leotti, Vanessa Bielefeldt Canal, Cláudio Wageck Corbellini, Luis Gustavo PLoS One Research Article Foot and mouth disease (FMD) is a highly infectious disease that affects cloven-hoofed livestock and wildlife. FMD has been a problem for decades, which has led to various measures to control, eradicate and prevent FMD by National Veterinary Services worldwide. Currently, the identification of areas that are at risk of FMD virus incursion and spread is a priority for FMD target surveillance after FMD is eradicated from a given country or region. In our study, a knowledge-driven spatial model was built to identify risk areas for FMD occurrence and to evaluate FMD surveillance performance in Rio Grande do Sul state, Brazil. For this purpose, multi-criteria decision analysis was used as a tool to seek multiple and conflicting criteria to determine a preferred course of action. Thirteen South American experts analyzed 18 variables associated with FMD introduction and dissemination pathways in Rio Grande do Sul. As a result, FMD higher risk areas were identified at international borders and in the central region of the state. The final model was expressed as a raster surface. The predictive ability of the model assessed by comparing, for each cell of the raster surface, the computed model risk scores with a binary variable representing the presence or absence of an FMD outbreak in that cell during the period 1985 to 2015. Current FMD surveillance performance was assessed, and recommendations were made to improve surveillance activities in critical areas. Public Library of Science 2017-05-26 /pmc/articles/PMC5446179/ /pubmed/28552973 http://dx.doi.org/10.1371/journal.pone.0178464 Text en © 2017 Santos 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 (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
dos Santos, Diego Viali
Silva, Gustavo Sousa e
Weber, Eliseu José
Hasenack, Heinrich
Groff, Fernando Henrique Sautter
Todeschini, Bernardo
Borba, Mauro Riegert
Medeiros, Antonio Augusto Rosa
Leotti, Vanessa Bielefeldt
Canal, Cláudio Wageck
Corbellini, Luis Gustavo
Identification of foot and mouth disease risk areas using a multi-criteria analysis approach
title Identification of foot and mouth disease risk areas using a multi-criteria analysis approach
title_full Identification of foot and mouth disease risk areas using a multi-criteria analysis approach
title_fullStr Identification of foot and mouth disease risk areas using a multi-criteria analysis approach
title_full_unstemmed Identification of foot and mouth disease risk areas using a multi-criteria analysis approach
title_short Identification of foot and mouth disease risk areas using a multi-criteria analysis approach
title_sort identification of foot and mouth disease risk areas using a multi-criteria analysis approach
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5446179/
https://www.ncbi.nlm.nih.gov/pubmed/28552973
http://dx.doi.org/10.1371/journal.pone.0178464
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