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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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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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. |
format | Online Article Text |
id | pubmed-5446179 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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