Spatial temporal autologistic model with an application to the analysis of spatial patterns of citrus leprosis
Autor(a) principal: | |
---|---|
Data de Publicação: | 2009 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Pesquisa Agropecuária Brasileira (Online) |
Texto Completo: | https://seer.sct.embrapa.br/index.php/pab/article/view/943 |
Resumo: | The goal of this study was to propose modeling strategies applied to the analysis of citrus leprosis incidence, through the use of a spatial temporal autologistic model. We evaluated the adequacy of autologistic model to consider data collected at different times; to detect spatial-temporal patterns through different neighboring structures; to consider the effect of covariates from previous times; and assessing the effect of the presence of the disease vector in the probability of new infections occurrence. The spatial temporal autologistic model adopted has extended the usual logistic model, in which the neighboring structures is described by means of covariates built from the status of plants nearby, at the same or at previous times. Data regarding the presence of the leprosis on plants were collected at field points referenced in space, over a period of approximately two years. Models detect the presence of spatial patterns on new infections for the studied neighboring structures, at the same or previous time. Additionally, probability estimates of a plant become infected can be obtained from the fitted models, given the occurrence of the disease and vector. |
id |
EMBRAPA-4_a526ae18121b4cc7449284eb73831006 |
---|---|
oai_identifier_str |
oai:ojs.seer.sct.embrapa.br:article/943 |
network_acronym_str |
EMBRAPA-4 |
network_name_str |
Pesquisa Agropecuária Brasileira (Online) |
repository_id_str |
|
spelling |
Spatial temporal autologistic model with an application to the analysis of spatial patterns of citrus leprosisModelo autologístico espaço-temporal com aplicação à análise de padrões espaciais da leprose-dos-citrosBrevipalpus phoenicis; Citrus leprosis virus; Citrus sinensis; spatial statistics; neighbor structures; pseudo‑likelihoodBrevipalpus phoenicis; Citrus leprosis virus; Citrus sinensis; estatística espacial; estruturas de vizinhança; pseudo-verossimilhançaThe goal of this study was to propose modeling strategies applied to the analysis of citrus leprosis incidence, through the use of a spatial temporal autologistic model. We evaluated the adequacy of autologistic model to consider data collected at different times; to detect spatial-temporal patterns through different neighboring structures; to consider the effect of covariates from previous times; and assessing the effect of the presence of the disease vector in the probability of new infections occurrence. The spatial temporal autologistic model adopted has extended the usual logistic model, in which the neighboring structures is described by means of covariates built from the status of plants nearby, at the same or at previous times. Data regarding the presence of the leprosis on plants were collected at field points referenced in space, over a period of approximately two years. Models detect the presence of spatial patterns on new infections for the studied neighboring structures, at the same or previous time. Additionally, probability estimates of a plant become infected can be obtained from the fitted models, given the occurrence of the disease and vector.O objetivo deste trabalho foi propor estratégias de modelagem aplicadas aos dados de incidência de leprose-dos-citros, por meio do uso de um modelo autologístico espaço-temporal. A adequação do modelo autologístico foi avaliada quanto à: análise de dados provenientes de avaliações feitas em diferentes momentos; detecção de padrões espaciais da doença, pela avaliação de diferentes estruturas de vizinhança; consideração do efeito defasado no tempo de covariáveis de vizinhança; e ao efeito do ácaro transmissor na probabilidade de nova infecção. O modelo autologístico espaço-temporal adotado estendeu o modelo logístico usual, em que a estrutura de vizinhança é descrita por meio da construção de covariáveis, a partir da resposta observada em plantas vizinhas à planta avaliada, na mesma avaliação, ou em avaliações anteriores. Os dados de incidência de leprose nas plantas de citros foram coletados em pontos referenciados no espaço, durante aproximadamente dois anos. Os modelos detectam o efeito da presença do vetor e os padrões espaciais na ocorrência de novas infecções, tanto para covariáveis de vizinhança da mesma avaliação, quanto para covariáveis de vizinhança da avaliação anterior. Além disso, os modelos considerados permitem quantificar as variações na probabilidade de ocorrência da doença de acordo com o estado da doença e com a incidência do ácaro transmissor.Pesquisa Agropecuaria BrasileiraPesquisa Agropecuária BrasileiraFranciscon, LuzianeJunior, Paulo Justiniano RibeiroKrainski, Elias TeixeiraBassanezi, Renato BeozzoCzermainski, Ana Beatriz Costa2009-01-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.sct.embrapa.br/index.php/pab/article/view/943Pesquisa Agropecuaria Brasileira; v.43, n.12, dez. 2008; 1677-1682Pesquisa Agropecuária Brasileira; v.43, n.12, dez. 2008; 1677-16821678-39210100-104xreponame:Pesquisa Agropecuária Brasileira (Online)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPAporhttps://seer.sct.embrapa.br/index.php/pab/article/view/943/5574https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/943/616info:eu-repo/semantics/openAccess2012-06-17T11:45:36Zoai:ojs.seer.sct.embrapa.br:article/943Revistahttp://seer.sct.embrapa.br/index.php/pabPRIhttps://old.scielo.br/oai/scielo-oai.phppab@sct.embrapa.br || sct.pab@embrapa.br1678-39210100-204Xopendoar:2012-06-17T11:45:36Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Spatial temporal autologistic model with an application to the analysis of spatial patterns of citrus leprosis Modelo autologístico espaço-temporal com aplicação à análise de padrões espaciais da leprose-dos-citros |
title |
Spatial temporal autologistic model with an application to the analysis of spatial patterns of citrus leprosis |
spellingShingle |
Spatial temporal autologistic model with an application to the analysis of spatial patterns of citrus leprosis Franciscon, Luziane Brevipalpus phoenicis; Citrus leprosis virus; Citrus sinensis; spatial statistics; neighbor structures; pseudo‑likelihood Brevipalpus phoenicis; Citrus leprosis virus; Citrus sinensis; estatística espacial; estruturas de vizinhança; pseudo-verossimilhança |
title_short |
Spatial temporal autologistic model with an application to the analysis of spatial patterns of citrus leprosis |
title_full |
Spatial temporal autologistic model with an application to the analysis of spatial patterns of citrus leprosis |
title_fullStr |
Spatial temporal autologistic model with an application to the analysis of spatial patterns of citrus leprosis |
title_full_unstemmed |
Spatial temporal autologistic model with an application to the analysis of spatial patterns of citrus leprosis |
title_sort |
Spatial temporal autologistic model with an application to the analysis of spatial patterns of citrus leprosis |
author |
Franciscon, Luziane |
author_facet |
Franciscon, Luziane Junior, Paulo Justiniano Ribeiro Krainski, Elias Teixeira Bassanezi, Renato Beozzo Czermainski, Ana Beatriz Costa |
author_role |
author |
author2 |
Junior, Paulo Justiniano Ribeiro Krainski, Elias Teixeira Bassanezi, Renato Beozzo Czermainski, Ana Beatriz Costa |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
|
dc.contributor.author.fl_str_mv |
Franciscon, Luziane Junior, Paulo Justiniano Ribeiro Krainski, Elias Teixeira Bassanezi, Renato Beozzo Czermainski, Ana Beatriz Costa |
dc.subject.por.fl_str_mv |
Brevipalpus phoenicis; Citrus leprosis virus; Citrus sinensis; spatial statistics; neighbor structures; pseudo‑likelihood Brevipalpus phoenicis; Citrus leprosis virus; Citrus sinensis; estatística espacial; estruturas de vizinhança; pseudo-verossimilhança |
topic |
Brevipalpus phoenicis; Citrus leprosis virus; Citrus sinensis; spatial statistics; neighbor structures; pseudo‑likelihood Brevipalpus phoenicis; Citrus leprosis virus; Citrus sinensis; estatística espacial; estruturas de vizinhança; pseudo-verossimilhança |
description |
The goal of this study was to propose modeling strategies applied to the analysis of citrus leprosis incidence, through the use of a spatial temporal autologistic model. We evaluated the adequacy of autologistic model to consider data collected at different times; to detect spatial-temporal patterns through different neighboring structures; to consider the effect of covariates from previous times; and assessing the effect of the presence of the disease vector in the probability of new infections occurrence. The spatial temporal autologistic model adopted has extended the usual logistic model, in which the neighboring structures is described by means of covariates built from the status of plants nearby, at the same or at previous times. Data regarding the presence of the leprosis on plants were collected at field points referenced in space, over a period of approximately two years. Models detect the presence of spatial patterns on new infections for the studied neighboring structures, at the same or previous time. Additionally, probability estimates of a plant become infected can be obtained from the fitted models, given the occurrence of the disease and vector. |
publishDate |
2009 |
dc.date.none.fl_str_mv |
2009-01-06 |
dc.type.none.fl_str_mv |
|
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://seer.sct.embrapa.br/index.php/pab/article/view/943 |
url |
https://seer.sct.embrapa.br/index.php/pab/article/view/943 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://seer.sct.embrapa.br/index.php/pab/article/view/943/5574 https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/943/616 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Pesquisa Agropecuaria Brasileira Pesquisa Agropecuária Brasileira |
publisher.none.fl_str_mv |
Pesquisa Agropecuaria Brasileira Pesquisa Agropecuária Brasileira |
dc.source.none.fl_str_mv |
Pesquisa Agropecuaria Brasileira; v.43, n.12, dez. 2008; 1677-1682 Pesquisa Agropecuária Brasileira; v.43, n.12, dez. 2008; 1677-1682 1678-3921 0100-104x reponame:Pesquisa Agropecuária Brasileira (Online) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
instname_str |
Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
instacron_str |
EMBRAPA |
institution |
EMBRAPA |
reponame_str |
Pesquisa Agropecuária Brasileira (Online) |
collection |
Pesquisa Agropecuária Brasileira (Online) |
repository.name.fl_str_mv |
Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
pab@sct.embrapa.br || sct.pab@embrapa.br |
_version_ |
1793416711220756480 |