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...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2017-01-01
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| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC5446179?pdf=render |
| _version_ | 1818262670985396224 |
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| author | Diego Viali Dos Santos Gustavo Sousa E Silva Eliseu José Weber Heinrich Hasenack Fernando Henrique Sautter Groff Bernardo Todeschini Mauro Riegert Borba Antonio Augusto Rosa Medeiros Vanessa Bielefeldt Leotti Cláudio Wageck Canal Luis Gustavo Corbellini |
| author_facet | Diego Viali Dos Santos Gustavo Sousa E Silva Eliseu José Weber Heinrich Hasenack Fernando Henrique Sautter Groff Bernardo Todeschini Mauro Riegert Borba Antonio Augusto Rosa Medeiros Vanessa Bielefeldt Leotti Cláudio Wageck Canal Luis Gustavo Corbellini |
| author_sort | Diego Viali Dos Santos |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-12T19:06:49Z |
| format | Article |
| id | doaj.art-c172b716db944502be19b01da3bada5d |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-12T19:06:49Z |
| publishDate | 2017-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-c172b716db944502be19b01da3bada5d2022-12-22T00:14:56ZengPublic Library of Science (PLoS)PLoS ONE1932-62032017-01-01125e017846410.1371/journal.pone.0178464Identification of foot and mouth disease risk areas using a multi-criteria analysis approach.Diego Viali Dos SantosGustavo Sousa E SilvaEliseu José WeberHeinrich HasenackFernando Henrique Sautter GroffBernardo TodeschiniMauro Riegert BorbaAntonio Augusto Rosa MedeirosVanessa Bielefeldt LeottiCláudio Wageck CanalLuis Gustavo CorbelliniFoot 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.http://europepmc.org/articles/PMC5446179?pdf=render |
| spellingShingle | Diego Viali Dos Santos Gustavo Sousa E Silva Eliseu José Weber Heinrich Hasenack Fernando Henrique Sautter Groff Bernardo Todeschini Mauro Riegert Borba Antonio Augusto Rosa Medeiros Vanessa Bielefeldt Leotti Cláudio Wageck Canal Luis Gustavo Corbellini Identification of foot and mouth disease risk areas using a multi-criteria analysis approach. PLoS ONE |
| 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 |
| url | http://europepmc.org/articles/PMC5446179?pdf=render |
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