ANIMAL HEALTH SURVEILLANCE BY QUADRANT - A NEW "INTELLIGENT" AGRICULTURAL SURVEILLANCE SYSTEM
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng por |
Título da fonte: | Brazilian Journal of Veterinary Medicine |
Texto Completo: | https://rbmv.org/BJVM/article/view/1080 |
Resumo: | Brazil is the world's greatest beef exporter and Mato Grosso do Sul state is one of the most relevant states of Brazil with utmost importance for animal production. To ensure the health of the animal herd, the Livestock Defense services of all federative units perform securities activities, although not as effective as they should be, following the procedures of the Ministry of Agriculture, Livestock and Supply (MAPA). This study aims to present a brand new health surveillance system established in Mato Grosso do Sul state where each city was mapped in blocks and ranked by hazard levels. An activity planning is carried out in which all city blocks receive livestock defense surveillance. The actions are tracked and registered through GPS devices and the data are assessed by satellites images analyzer software. Therefore, the actions are auditable and the results monthly analyzed for future actions planning. As a result, the surveillance actions ceased to be performed on demand and started to cover not only the areas next to the local office but the entire city areas as well; the registration's and sanitary program's data were updated and activities had become clear and auditable, allowing all actions of the Health Defense services to be controlled and monitored. It is known that, once these actions are implemented in other federative units it may lead to a differential advantage to Brazilian Health Defense Services. |
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ANIMAL HEALTH SURVEILLANCE BY QUADRANT - A NEW "INTELLIGENT" AGRICULTURAL SURVEILLANCE SYSTEM VIGILÂNCIA SANITÁRIA POR QUADRANTE – UM NOVO SISTEMA “INTELIGENTE” DE VIGILÂNCIA AGROPECUÁRIA Vigilância AgropecuáriaQuadranteMato Grosso do SulLivestock Surveillance, Quadrant, Mato Grosso do SulBrazil is the world's greatest beef exporter and Mato Grosso do Sul state is one of the most relevant states of Brazil with utmost importance for animal production. To ensure the health of the animal herd, the Livestock Defense services of all federative units perform securities activities, although not as effective as they should be, following the procedures of the Ministry of Agriculture, Livestock and Supply (MAPA). This study aims to present a brand new health surveillance system established in Mato Grosso do Sul state where each city was mapped in blocks and ranked by hazard levels. An activity planning is carried out in which all city blocks receive livestock defense surveillance. The actions are tracked and registered through GPS devices and the data are assessed by satellites images analyzer software. Therefore, the actions are auditable and the results monthly analyzed for future actions planning. As a result, the surveillance actions ceased to be performed on demand and started to cover not only the areas next to the local office but the entire city areas as well; the registration's and sanitary program's data were updated and activities had become clear and auditable, allowing all actions of the Health Defense services to be controlled and monitored. It is known that, once these actions are implemented in other federative units it may lead to a differential advantage to Brazilian Health Defense Services.O Brasil é o maior exportador mundial de carne e o Mato Grosso do Sul é um dos estados de maior relevância na produção animal. Para assegurar a sanidade dos rebanhos, os serviços de defesa agropecuária de todas as unidades federativas executam atividades de vigilância seguindo modelos preconizados pelo Ministério da Agricultura Pecuária e Abastecimento (MAPA) mas que não são tão eficientes. Este trabalho tem como objetivo mostrar um novo sistema de vigilância agropecuária que foi implementado estado do Mato Grosso do Sul, onde cada município foi mapeado em quadrantes, redimensionados geograficamente e realizada a classificação de risco de cada um. É realizado um planejamento anual de atividades das Unidades Epidemiológicas através de análise de imagens de satélite e mapas, definindo-se o perfil epidemiológico do quadrante e a quantidade de visitas, onde todos os quadrantes do município recebem a vigilância da defesa agropecuária, o calendário de execução das atividades e as projeções dos custos operacionais. As ações são rastreadas e registradas a partir do uso compulsório de aparelhos GPS. Dessa forma as ações são transparentes, confiáveis e seu resultado pode ser analisado mensalmente para a elaboração de planejamento de futuras ações. Como resultado, as ações de vigilância deixaram de ser executadas apenas por demanda e passaram a ser ativas abrangendo todas as áreas dos municípios e não somente aquelas mais perto do escritório local; as informações cadastrais e dos programas sanitários foram atualizadas e as atividades passaram a ser totalmente transparentes e confiáveis, que permitiu controlar e acompanhar todas as ações operacionais dos serviços de defesa sanitária. Há o entendimento que se implantado e outras unidades federativas, será um diferencial nos Serviços de Defesa Sanitária do Brasil.Sociedade de Medicina Veterinária do Estado do Rio de Janeiro.2021-05-13info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionpeer reviewedAvaliado pelos paresapplication/pdfapplication/pdfhttps://rbmv.org/BJVM/article/view/108010.29374/2527-2179.bjvm108020Brazilian Journal of Veterinary Medicine; Vol. 42 No. 1 (2020); e108020Revista Brasileira de Medicina Veterinária; v. 42 n. 1 (2020); e1080202527-21790100-2430reponame:Brazilian Journal of Veterinary Medicineinstname:Sociedade de Medicina Veterinária do Estado do Rio de Janeiro (SOMVERJ)instacron:SBMVengporhttps://rbmv.org/BJVM/article/view/1080/988https://rbmv.org/BJVM/article/view/1080/990Copyright (c) 2020 Francisco Bezerra de Carvalho Neto, Franco Zanandreis, Clayton Bernardinelli Gittihttp://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessBezerra de Carvalho Neto, Francisco Zanandreis, FrancoGitti, Clayton Bernardinelli2021-05-13T13:46:40Zoai:ojs.rbmv.org:article/1080Revistahttps://rbmv.org/BJVMONGhttps://rbmv.org/BJVM/oaicontato.rbmv@gmail.com2527-21790100-2430opendoar:2021-05-13T13:46:40Brazilian Journal of Veterinary Medicine - Sociedade de Medicina Veterinária do Estado do Rio de Janeiro (SOMVERJ)false |
dc.title.none.fl_str_mv |
ANIMAL HEALTH SURVEILLANCE BY QUADRANT - A NEW "INTELLIGENT" AGRICULTURAL SURVEILLANCE SYSTEM VIGILÂNCIA SANITÁRIA POR QUADRANTE – UM NOVO SISTEMA “INTELIGENTE” DE VIGILÂNCIA AGROPECUÁRIA |
title |
ANIMAL HEALTH SURVEILLANCE BY QUADRANT - A NEW "INTELLIGENT" AGRICULTURAL SURVEILLANCE SYSTEM |
spellingShingle |
ANIMAL HEALTH SURVEILLANCE BY QUADRANT - A NEW "INTELLIGENT" AGRICULTURAL SURVEILLANCE SYSTEM Bezerra de Carvalho Neto, Francisco Vigilância Agropecuária Quadrante Mato Grosso do Sul Livestock Surveillance, Quadrant, Mato Grosso do Sul |
title_short |
ANIMAL HEALTH SURVEILLANCE BY QUADRANT - A NEW "INTELLIGENT" AGRICULTURAL SURVEILLANCE SYSTEM |
title_full |
ANIMAL HEALTH SURVEILLANCE BY QUADRANT - A NEW "INTELLIGENT" AGRICULTURAL SURVEILLANCE SYSTEM |
title_fullStr |
ANIMAL HEALTH SURVEILLANCE BY QUADRANT - A NEW "INTELLIGENT" AGRICULTURAL SURVEILLANCE SYSTEM |
title_full_unstemmed |
ANIMAL HEALTH SURVEILLANCE BY QUADRANT - A NEW "INTELLIGENT" AGRICULTURAL SURVEILLANCE SYSTEM |
title_sort |
ANIMAL HEALTH SURVEILLANCE BY QUADRANT - A NEW "INTELLIGENT" AGRICULTURAL SURVEILLANCE SYSTEM |
author |
Bezerra de Carvalho Neto, Francisco |
author_facet |
Bezerra de Carvalho Neto, Francisco Zanandreis, Franco Gitti, Clayton Bernardinelli |
author_role |
author |
author2 |
Zanandreis, Franco Gitti, Clayton Bernardinelli |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Bezerra de Carvalho Neto, Francisco Zanandreis, Franco Gitti, Clayton Bernardinelli |
dc.subject.por.fl_str_mv |
Vigilância Agropecuária Quadrante Mato Grosso do Sul Livestock Surveillance, Quadrant, Mato Grosso do Sul |
topic |
Vigilância Agropecuária Quadrante Mato Grosso do Sul Livestock Surveillance, Quadrant, Mato Grosso do Sul |
description |
Brazil is the world's greatest beef exporter and Mato Grosso do Sul state is one of the most relevant states of Brazil with utmost importance for animal production. To ensure the health of the animal herd, the Livestock Defense services of all federative units perform securities activities, although not as effective as they should be, following the procedures of the Ministry of Agriculture, Livestock and Supply (MAPA). This study aims to present a brand new health surveillance system established in Mato Grosso do Sul state where each city was mapped in blocks and ranked by hazard levels. An activity planning is carried out in which all city blocks receive livestock defense surveillance. The actions are tracked and registered through GPS devices and the data are assessed by satellites images analyzer software. Therefore, the actions are auditable and the results monthly analyzed for future actions planning. As a result, the surveillance actions ceased to be performed on demand and started to cover not only the areas next to the local office but the entire city areas as well; the registration's and sanitary program's data were updated and activities had become clear and auditable, allowing all actions of the Health Defense services to be controlled and monitored. It is known that, once these actions are implemented in other federative units it may lead to a differential advantage to Brazilian Health Defense Services. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-05-13 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion peer reviewed Avaliado pelos pares |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://rbmv.org/BJVM/article/view/1080 10.29374/2527-2179.bjvm108020 |
url |
https://rbmv.org/BJVM/article/view/1080 |
identifier_str_mv |
10.29374/2527-2179.bjvm108020 |
dc.language.iso.fl_str_mv |
eng por |
language |
eng por |
dc.relation.none.fl_str_mv |
https://rbmv.org/BJVM/article/view/1080/988 https://rbmv.org/BJVM/article/view/1080/990 |
dc.rights.driver.fl_str_mv |
http://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Sociedade de Medicina Veterinária do Estado do Rio de Janeiro. |
publisher.none.fl_str_mv |
Sociedade de Medicina Veterinária do Estado do Rio de Janeiro. |
dc.source.none.fl_str_mv |
Brazilian Journal of Veterinary Medicine; Vol. 42 No. 1 (2020); e108020 Revista Brasileira de Medicina Veterinária; v. 42 n. 1 (2020); e108020 2527-2179 0100-2430 reponame:Brazilian Journal of Veterinary Medicine instname:Sociedade de Medicina Veterinária do Estado do Rio de Janeiro (SOMVERJ) instacron:SBMV |
instname_str |
Sociedade de Medicina Veterinária do Estado do Rio de Janeiro (SOMVERJ) |
instacron_str |
SBMV |
institution |
SBMV |
reponame_str |
Brazilian Journal of Veterinary Medicine |
collection |
Brazilian Journal of Veterinary Medicine |
repository.name.fl_str_mv |
Brazilian Journal of Veterinary Medicine - Sociedade de Medicina Veterinária do Estado do Rio de Janeiro (SOMVERJ) |
repository.mail.fl_str_mv |
contato.rbmv@gmail.com |
_version_ |
1798313110656778240 |