Spatial temporal autologistic model with an application to the analysis of spatial patterns of citrus leprosis

Detalhes bibliográficos
Autor(a) principal: Franciscon, Luziane
Data de Publicação: 2009
Outros Autores: Junior, Paulo Justiniano Ribeiro, Krainski, Elias Teixeira, Bassanezi, Renato Beozzo, Czermainski, Ana Beatriz Costa
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.
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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)
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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)
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