Digital image processing techniques for the identification of the appropriate flood areas for the malaria vector procreation
Autor(a) principal: | |
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Data de Publicação: | 2012 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Labor & Engenho (Online) |
Texto Completo: | https://periodicos.sbu.unicamp.br/ojs/index.php/labore/article/view/8634441 |
Resumo: | The present work intends to identify the areas which have appropriate environment for the procreation of the disease vector in the northern part of Labrea municipality, in the state of Amazonas. The environmental conditions found in the study region are highly favorable to the elevate density of mosquitoes and to their procreation in the larvae phase, as it is known that the ideal environment considered to its procreation is the aquatic one, where occurs around 3⁄4 of the mosquito life cycle. The digital image processing techniques have been considered as an important tool to identify these areas and have aided the decision making in the public health segment. In order to achieve the purpose of this work, two approaches were made: the object-oriented analysis classification of an optical image and the proposal of a new methodological approach for the terrain description, resulting from the application of the algorithm called HAND. In this approach, the purpose is to characterize both the water bodies identified during the image classification and the possible flood regions, thus, favorable for the procreation of the Anopheles vector. In the spatial analysis stage, a local spatial regression model was used. As a result, it was concluded that de descriptor terrain model in the flood areas of the study region is an explanatory factor of the malaria incidence in the northern part of Labrea. |
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Digital image processing techniques for the identification of the appropriate flood areas for the malaria vector procreationDigital image processing techniquesMalariaHAND algorithm The present work intends to identify the areas which have appropriate environment for the procreation of the disease vector in the northern part of Labrea municipality, in the state of Amazonas. The environmental conditions found in the study region are highly favorable to the elevate density of mosquitoes and to their procreation in the larvae phase, as it is known that the ideal environment considered to its procreation is the aquatic one, where occurs around 3⁄4 of the mosquito life cycle. The digital image processing techniques have been considered as an important tool to identify these areas and have aided the decision making in the public health segment. In order to achieve the purpose of this work, two approaches were made: the object-oriented analysis classification of an optical image and the proposal of a new methodological approach for the terrain description, resulting from the application of the algorithm called HAND. In this approach, the purpose is to characterize both the water bodies identified during the image classification and the possible flood regions, thus, favorable for the procreation of the Anopheles vector. In the spatial analysis stage, a local spatial regression model was used. As a result, it was concluded that de descriptor terrain model in the flood areas of the study region is an explanatory factor of the malaria incidence in the northern part of Labrea. Universidade Estadual de Campinas2012-12-21info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPesquisa teóricaapplication/pdfhttps://periodicos.sbu.unicamp.br/ojs/index.php/labore/article/view/863444110.20396/lobore.v6i4.8634441Labor e Engenho; Vol. 6 No. 4 (2012): out./dez.; 35-45Labor e Engenho; Vol. 6 Núm. 4 (2012): out./dez.; 35-45Labor e Engenho; v. 6 n. 4 (2012): out./dez.; 35-452176-8846reponame:Labor & Engenho (Online)instname:Universidade Estadual de Campinas (UNICAMP)instacron:UNICAMPenghttps://periodicos.sbu.unicamp.br/ojs/index.php/labore/article/view/8634441/pdf_166BrasilCopyright (c) 2015 Labor & Engenhoinfo:eu-repo/semantics/openAccessAssis, Mariane CarvalhoAlves, Claudia DurandBoulomytis, Vassiliki Terezinha Galvão2019-07-18T05:17:47Zoai:ojs.periodicos.sbu.unicamp.br:article/8634441Revistahttp://periodicos.sbu.unicamp.br/ojs/index.php/laborePUBhttps://periodicos.sbu.unicamp.br/ojs/index.php/labore/oai||argollo@fec.unicamp.br2176-88461981-1152opendoar:2019-07-18T05:17:47Labor & Engenho (Online) - Universidade Estadual de Campinas (UNICAMP)false |
dc.title.none.fl_str_mv |
Digital image processing techniques for the identification of the appropriate flood areas for the malaria vector procreation |
title |
Digital image processing techniques for the identification of the appropriate flood areas for the malaria vector procreation |
spellingShingle |
Digital image processing techniques for the identification of the appropriate flood areas for the malaria vector procreation Assis, Mariane Carvalho Digital image processing techniques Malaria HAND algorithm |
title_short |
Digital image processing techniques for the identification of the appropriate flood areas for the malaria vector procreation |
title_full |
Digital image processing techniques for the identification of the appropriate flood areas for the malaria vector procreation |
title_fullStr |
Digital image processing techniques for the identification of the appropriate flood areas for the malaria vector procreation |
title_full_unstemmed |
Digital image processing techniques for the identification of the appropriate flood areas for the malaria vector procreation |
title_sort |
Digital image processing techniques for the identification of the appropriate flood areas for the malaria vector procreation |
author |
Assis, Mariane Carvalho |
author_facet |
Assis, Mariane Carvalho Alves, Claudia Durand Boulomytis, Vassiliki Terezinha Galvão |
author_role |
author |
author2 |
Alves, Claudia Durand Boulomytis, Vassiliki Terezinha Galvão |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Assis, Mariane Carvalho Alves, Claudia Durand Boulomytis, Vassiliki Terezinha Galvão |
dc.subject.por.fl_str_mv |
Digital image processing techniques Malaria HAND algorithm |
topic |
Digital image processing techniques Malaria HAND algorithm |
description |
The present work intends to identify the areas which have appropriate environment for the procreation of the disease vector in the northern part of Labrea municipality, in the state of Amazonas. The environmental conditions found in the study region are highly favorable to the elevate density of mosquitoes and to their procreation in the larvae phase, as it is known that the ideal environment considered to its procreation is the aquatic one, where occurs around 3⁄4 of the mosquito life cycle. The digital image processing techniques have been considered as an important tool to identify these areas and have aided the decision making in the public health segment. In order to achieve the purpose of this work, two approaches were made: the object-oriented analysis classification of an optical image and the proposal of a new methodological approach for the terrain description, resulting from the application of the algorithm called HAND. In this approach, the purpose is to characterize both the water bodies identified during the image classification and the possible flood regions, thus, favorable for the procreation of the Anopheles vector. In the spatial analysis stage, a local spatial regression model was used. As a result, it was concluded that de descriptor terrain model in the flood areas of the study region is an explanatory factor of the malaria incidence in the northern part of Labrea. |
publishDate |
2012 |
dc.date.none.fl_str_mv |
2012-12-21 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Pesquisa teórica |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://periodicos.sbu.unicamp.br/ojs/index.php/labore/article/view/8634441 10.20396/lobore.v6i4.8634441 |
url |
https://periodicos.sbu.unicamp.br/ojs/index.php/labore/article/view/8634441 |
identifier_str_mv |
10.20396/lobore.v6i4.8634441 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://periodicos.sbu.unicamp.br/ojs/index.php/labore/article/view/8634441/pdf_166 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2015 Labor & Engenho info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2015 Labor & Engenho |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.coverage.none.fl_str_mv |
Brasil |
dc.publisher.none.fl_str_mv |
Universidade Estadual de Campinas |
publisher.none.fl_str_mv |
Universidade Estadual de Campinas |
dc.source.none.fl_str_mv |
Labor e Engenho; Vol. 6 No. 4 (2012): out./dez.; 35-45 Labor e Engenho; Vol. 6 Núm. 4 (2012): out./dez.; 35-45 Labor e Engenho; v. 6 n. 4 (2012): out./dez.; 35-45 2176-8846 reponame:Labor & Engenho (Online) instname:Universidade Estadual de Campinas (UNICAMP) instacron:UNICAMP |
instname_str |
Universidade Estadual de Campinas (UNICAMP) |
instacron_str |
UNICAMP |
institution |
UNICAMP |
reponame_str |
Labor & Engenho (Online) |
collection |
Labor & Engenho (Online) |
repository.name.fl_str_mv |
Labor & Engenho (Online) - Universidade Estadual de Campinas (UNICAMP) |
repository.mail.fl_str_mv |
||argollo@fec.unicamp.br |
_version_ |
1809730501004492800 |