Spatial cluster analysis for bovine paratuberculosis in Paraiba State, Northeastern Brazil
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Pesquisa Veterinária Brasileira (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-736X2017001101193 |
Resumo: | ABSTRACT: The aim of this survey was to identify spatial clustering of bovine paratuberculosis positive herds in the State of Paraíba, Northeastern Brazil. The state was divided into three sampling groups: sampling stratum 1 (mesoregion of Sertão), sampling stratum 2 (mesoregion of Borborema), and sampling stratum 3 (mesoregions of Zona da Mata and Agreste). Ten animals were sampled in herds with up to 99 cows aged over 24 months; 15 animals were sampled in herds with 100 or more cows aged over 24 months; and all animals were sampled in those with up to 10 cows aged over 24 months. In total, 2504 cows aged ≥ 24 months were sampled from 480 herds. Indirect enzyme-linked immunosorbant assay (ELISA) test kits were used for Mycobacterium avium subsp. paratuberculosis (MAP) antibody detection. A herd was deemed positive for paratuberculosis if it included at least one positive animal in herds of up to 24 females, and two positive animals in herds with more than 24 females. Spatial clustering was assessed using the Cuzick-Edwards’ k-nearest neighbor method and spatial scan statistics. Two significant clustering of positive herds were detected in Northern part of Borborema mesoregion, a border region with the State of Rio Grande do Norte, in which there is a large animal movement from different locations without knowing the sanitary condition of animals. As serological tests for MAP diagnosis are not widely available and are very expensive, as well as replacement or maintenance of livestock by animal purchasing is common in the region, it is concluded that prevention measures should be applied at herd level. |
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Spatial cluster analysis for bovine paratuberculosis in Paraiba State, Northeastern BrazilParatuberculosiscattleepidemiologycluster analysiscontrolABSTRACT: The aim of this survey was to identify spatial clustering of bovine paratuberculosis positive herds in the State of Paraíba, Northeastern Brazil. The state was divided into three sampling groups: sampling stratum 1 (mesoregion of Sertão), sampling stratum 2 (mesoregion of Borborema), and sampling stratum 3 (mesoregions of Zona da Mata and Agreste). Ten animals were sampled in herds with up to 99 cows aged over 24 months; 15 animals were sampled in herds with 100 or more cows aged over 24 months; and all animals were sampled in those with up to 10 cows aged over 24 months. In total, 2504 cows aged ≥ 24 months were sampled from 480 herds. Indirect enzyme-linked immunosorbant assay (ELISA) test kits were used for Mycobacterium avium subsp. paratuberculosis (MAP) antibody detection. A herd was deemed positive for paratuberculosis if it included at least one positive animal in herds of up to 24 females, and two positive animals in herds with more than 24 females. Spatial clustering was assessed using the Cuzick-Edwards’ k-nearest neighbor method and spatial scan statistics. Two significant clustering of positive herds were detected in Northern part of Borborema mesoregion, a border region with the State of Rio Grande do Norte, in which there is a large animal movement from different locations without knowing the sanitary condition of animals. As serological tests for MAP diagnosis are not widely available and are very expensive, as well as replacement or maintenance of livestock by animal purchasing is common in the region, it is concluded that prevention measures should be applied at herd level.Colégio Brasileiro de Patologia Animal - CBPA2017-11-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-736X2017001101193Pesquisa Veterinária Brasileira v.37 n.11 2017reponame:Pesquisa Veterinária Brasileira (Online)instname:Colégio Brasileiro de Patologia Animal (CBPA)instacron:EMBRAPA10.1590/s0100-736x2017001100002info:eu-repo/semantics/openAccessAzevedo,Sérgio S.Vilar,Ana L.T.Santos,Carolina S.A.B.Clementino,Inácio J.Fernandes,Leise G.Alves,Clebert J.eng2018-02-07T00:00:00Zoai:scielo:S0100-736X2017001101193Revistahttp://www.pvb.com.br/https://old.scielo.br/oai/scielo-oai.phpcolegio@cbpa.org.br||pvb@pvb.com.br0100-736X1678-5150opendoar:2018-02-07T00:00Pesquisa Veterinária Brasileira (Online) - Colégio Brasileiro de Patologia Animal (CBPA)false |
dc.title.none.fl_str_mv |
Spatial cluster analysis for bovine paratuberculosis in Paraiba State, Northeastern Brazil |
title |
Spatial cluster analysis for bovine paratuberculosis in Paraiba State, Northeastern Brazil |
spellingShingle |
Spatial cluster analysis for bovine paratuberculosis in Paraiba State, Northeastern Brazil Azevedo,Sérgio S. Paratuberculosis cattle epidemiology cluster analysis control |
title_short |
Spatial cluster analysis for bovine paratuberculosis in Paraiba State, Northeastern Brazil |
title_full |
Spatial cluster analysis for bovine paratuberculosis in Paraiba State, Northeastern Brazil |
title_fullStr |
Spatial cluster analysis for bovine paratuberculosis in Paraiba State, Northeastern Brazil |
title_full_unstemmed |
Spatial cluster analysis for bovine paratuberculosis in Paraiba State, Northeastern Brazil |
title_sort |
Spatial cluster analysis for bovine paratuberculosis in Paraiba State, Northeastern Brazil |
author |
Azevedo,Sérgio S. |
author_facet |
Azevedo,Sérgio S. Vilar,Ana L.T. Santos,Carolina S.A.B. Clementino,Inácio J. Fernandes,Leise G. Alves,Clebert J. |
author_role |
author |
author2 |
Vilar,Ana L.T. Santos,Carolina S.A.B. Clementino,Inácio J. Fernandes,Leise G. Alves,Clebert J. |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Azevedo,Sérgio S. Vilar,Ana L.T. Santos,Carolina S.A.B. Clementino,Inácio J. Fernandes,Leise G. Alves,Clebert J. |
dc.subject.por.fl_str_mv |
Paratuberculosis cattle epidemiology cluster analysis control |
topic |
Paratuberculosis cattle epidemiology cluster analysis control |
description |
ABSTRACT: The aim of this survey was to identify spatial clustering of bovine paratuberculosis positive herds in the State of Paraíba, Northeastern Brazil. The state was divided into three sampling groups: sampling stratum 1 (mesoregion of Sertão), sampling stratum 2 (mesoregion of Borborema), and sampling stratum 3 (mesoregions of Zona da Mata and Agreste). Ten animals were sampled in herds with up to 99 cows aged over 24 months; 15 animals were sampled in herds with 100 or more cows aged over 24 months; and all animals were sampled in those with up to 10 cows aged over 24 months. In total, 2504 cows aged ≥ 24 months were sampled from 480 herds. Indirect enzyme-linked immunosorbant assay (ELISA) test kits were used for Mycobacterium avium subsp. paratuberculosis (MAP) antibody detection. A herd was deemed positive for paratuberculosis if it included at least one positive animal in herds of up to 24 females, and two positive animals in herds with more than 24 females. Spatial clustering was assessed using the Cuzick-Edwards’ k-nearest neighbor method and spatial scan statistics. Two significant clustering of positive herds were detected in Northern part of Borborema mesoregion, a border region with the State of Rio Grande do Norte, in which there is a large animal movement from different locations without knowing the sanitary condition of animals. As serological tests for MAP diagnosis are not widely available and are very expensive, as well as replacement or maintenance of livestock by animal purchasing is common in the region, it is concluded that prevention measures should be applied at herd level. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-11-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-736X2017001101193 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-736X2017001101193 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/s0100-736x2017001100002 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Colégio Brasileiro de Patologia Animal - CBPA |
publisher.none.fl_str_mv |
Colégio Brasileiro de Patologia Animal - CBPA |
dc.source.none.fl_str_mv |
Pesquisa Veterinária Brasileira v.37 n.11 2017 reponame:Pesquisa Veterinária Brasileira (Online) instname:Colégio Brasileiro de Patologia Animal (CBPA) instacron:EMBRAPA |
instname_str |
Colégio Brasileiro de Patologia Animal (CBPA) |
instacron_str |
EMBRAPA |
institution |
EMBRAPA |
reponame_str |
Pesquisa Veterinária Brasileira (Online) |
collection |
Pesquisa Veterinária Brasileira (Online) |
repository.name.fl_str_mv |
Pesquisa Veterinária Brasileira (Online) - Colégio Brasileiro de Patologia Animal (CBPA) |
repository.mail.fl_str_mv |
colegio@cbpa.org.br||pvb@pvb.com.br |
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1754122237516972032 |