Space-time description of dengue epidemic in Cruzeiro, SP, in 2006 and 2011
Autor(a) principal: | |
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Data de Publicação: | 2014 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Repositório Institucional da UNITAU |
Texto Completo: | http://repositorio.unitau.br/jspui/handle/20.500.11874/2928 |
Resumo: | Objective: to identify patterns in the spatial and temporal distribution of cases of dengue fever occurring in the city of Cruzeiro, state of Sao Paulo (SP). Methods: an ecological and exploratory study was undertaken using spatial analysis tools and data from dengue cases obtained on the SinanNet. The analysis was carried out by area, using the IBGE census sector as a unit. The months of March to June 2006 and 2011 were assessed, revealing progress of the disease. TerraView 3.3.1 was used to calculate the Global Moran's I, month to month, and the Kernel estimator. Results: in the year 2006, 691 cases of dengue fever (rate of 864.2 cases/100,000 inhabitants) were georeferenced; and the Moran's I and p-values were significant in the months of April and May (TM = 0.28; p = 0.01; I-M = 0.20; p = 0.01) with higher densities in the central, north, northeast and south regions. In the year 2011, 654 cases of dengue fever (rate of 886.8 cases/100,000 inhabitants) were georeferenced; and the Moran's I and p-values were significant in the months of April and May (I, = 0.28; p = 0.01; I-M = 0.16; p = 0.05) with densities in the same regions as 2006. The Global Moran's I is a global measure of spatial autocorrelation, which indicates the degree of spatial association in the set of information from the product in relation to the average. The I varies between -1 and +1 and can be attributed to a level of significance (p-value). The positive value points to a positive or direct spatial autocorrelation. Conclusion: we were able to identify patterns in the spatial and temporal distribution of dengue cases occurring in the city of Cruzeiro, SP, and locate the census sectors where the outbreak began and how it evolved. |
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De Carvalho, Renata MarzzanoNascimento, Luiz Fernando Costa2019-09-12T16:56:53Z2019-09-12T16:56:53Z201460656557010.1590/1806.9282.60.06.0160104-4230http://repositorio.unitau.br/jspui/handle/20.500.11874/2928WOS:000348406900014Objective: to identify patterns in the spatial and temporal distribution of cases of dengue fever occurring in the city of Cruzeiro, state of Sao Paulo (SP). Methods: an ecological and exploratory study was undertaken using spatial analysis tools and data from dengue cases obtained on the SinanNet. The analysis was carried out by area, using the IBGE census sector as a unit. The months of March to June 2006 and 2011 were assessed, revealing progress of the disease. TerraView 3.3.1 was used to calculate the Global Moran's I, month to month, and the Kernel estimator. Results: in the year 2006, 691 cases of dengue fever (rate of 864.2 cases/100,000 inhabitants) were georeferenced; and the Moran's I and p-values were significant in the months of April and May (TM = 0.28; p = 0.01; I-M = 0.20; p = 0.01) with higher densities in the central, north, northeast and south regions. In the year 2011, 654 cases of dengue fever (rate of 886.8 cases/100,000 inhabitants) were georeferenced; and the Moran's I and p-values were significant in the months of April and May (I, = 0.28; p = 0.01; I-M = 0.16; p = 0.05) with densities in the same regions as 2006. The Global Moran's I is a global measure of spatial autocorrelation, which indicates the degree of spatial association in the set of information from the product in relation to the average. The I varies between -1 and +1 and can be attributed to a level of significance (p-value). The positive value points to a positive or direct spatial autocorrelation. Conclusion: we were able to identify patterns in the spatial and temporal distribution of dengue cases occurring in the city of Cruzeiro, SP, and locate the census sectors where the outbreak began and how it evolved.Made available in DSpace on 2019-09-12T16:56:53Z (GMT). No. of bitstreams: 0 Previous issue date: 2014[De Carvalho, Renata Marzzano] Univ Estadual Paulista Unesp, Fac Engn Guaratingueta, Dept Engn Mecan, Sao Jose Do Rio Preto, SP, Brazil[Costa Nascimento, Luiz Fernando] Universidade de Taubaté (Unitau), Dept MedAssoc Medica BrasileiraBrasilRevista da Associacao Medica BrasileiraEm verificaçãoinfo:eu-repo/semantics/openAccessWeb of Sciencereponame:Repositório Institucional da UNITAUinstname:Universidade de Taubaté (UNITAU)instacron:UNITAUDengueGeographic Information SystemsEpidemiological SurveillanceEcological StudySpatial Distribution Of The PopulationSoutheastern BrazilStateMedicine, General & InternalGeneral & Internal MedicineSpace-time description of dengue epidemic in Cruzeiro, SP, in 2006 and 2011info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlepor20.500.11874/29282019-09-27 12:26:37.358oai:repositorio.unitau.br:20.500.11874/2928Repositório InstitucionalPUBhttp://repositorio.unitau.br/oai/requestopendoar:2019-09-27T15:26:37Repositório Institucional da UNITAU - Universidade de Taubaté (UNITAU)false |
dc.title.en.fl_str_mv |
Space-time description of dengue epidemic in Cruzeiro, SP, in 2006 and 2011 |
title |
Space-time description of dengue epidemic in Cruzeiro, SP, in 2006 and 2011 |
spellingShingle |
Space-time description of dengue epidemic in Cruzeiro, SP, in 2006 and 2011 De Carvalho, Renata Marzzano Dengue Geographic Information Systems Epidemiological Surveillance Ecological Study Spatial Distribution Of The Population Southeastern Brazil State Medicine, General & Internal General & Internal Medicine |
title_short |
Space-time description of dengue epidemic in Cruzeiro, SP, in 2006 and 2011 |
title_full |
Space-time description of dengue epidemic in Cruzeiro, SP, in 2006 and 2011 |
title_fullStr |
Space-time description of dengue epidemic in Cruzeiro, SP, in 2006 and 2011 |
title_full_unstemmed |
Space-time description of dengue epidemic in Cruzeiro, SP, in 2006 and 2011 |
title_sort |
Space-time description of dengue epidemic in Cruzeiro, SP, in 2006 and 2011 |
author |
De Carvalho, Renata Marzzano |
author_facet |
De Carvalho, Renata Marzzano Nascimento, Luiz Fernando Costa |
author_role |
author |
author2 |
Nascimento, Luiz Fernando Costa |
author2_role |
author |
dc.contributor.author.fl_str_mv |
De Carvalho, Renata Marzzano Nascimento, Luiz Fernando Costa |
dc.subject.other.en.fl_str_mv |
Dengue Geographic Information Systems Epidemiological Surveillance Ecological Study Spatial Distribution Of The Population Southeastern Brazil State |
topic |
Dengue Geographic Information Systems Epidemiological Surveillance Ecological Study Spatial Distribution Of The Population Southeastern Brazil State Medicine, General & Internal General & Internal Medicine |
dc.subject.wosarea.en.fl_str_mv |
Medicine, General & Internal |
dc.subject.researcharea.en.fl_str_mv |
General & Internal Medicine |
description |
Objective: to identify patterns in the spatial and temporal distribution of cases of dengue fever occurring in the city of Cruzeiro, state of Sao Paulo (SP). Methods: an ecological and exploratory study was undertaken using spatial analysis tools and data from dengue cases obtained on the SinanNet. The analysis was carried out by area, using the IBGE census sector as a unit. The months of March to June 2006 and 2011 were assessed, revealing progress of the disease. TerraView 3.3.1 was used to calculate the Global Moran's I, month to month, and the Kernel estimator. Results: in the year 2006, 691 cases of dengue fever (rate of 864.2 cases/100,000 inhabitants) were georeferenced; and the Moran's I and p-values were significant in the months of April and May (TM = 0.28; p = 0.01; I-M = 0.20; p = 0.01) with higher densities in the central, north, northeast and south regions. In the year 2011, 654 cases of dengue fever (rate of 886.8 cases/100,000 inhabitants) were georeferenced; and the Moran's I and p-values were significant in the months of April and May (I, = 0.28; p = 0.01; I-M = 0.16; p = 0.05) with densities in the same regions as 2006. The Global Moran's I is a global measure of spatial autocorrelation, which indicates the degree of spatial association in the set of information from the product in relation to the average. The I varies between -1 and +1 and can be attributed to a level of significance (p-value). The positive value points to a positive or direct spatial autocorrelation. Conclusion: we were able to identify patterns in the spatial and temporal distribution of dengue cases occurring in the city of Cruzeiro, SP, and locate the census sectors where the outbreak began and how it evolved. |
publishDate |
2014 |
dc.date.issued.fl_str_mv |
2014 |
dc.date.accessioned.fl_str_mv |
2019-09-12T16:56:53Z |
dc.date.available.fl_str_mv |
2019-09-12T16:56:53Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://repositorio.unitau.br/jspui/handle/20.500.11874/2928 |
dc.identifier.doi.pt_BR.fl_str_mv |
10.1590/1806.9282.60.06.016 |
dc.identifier.issn.none.fl_str_mv |
0104-4230 |
dc.identifier.wos.none.fl_str_mv |
WOS:000348406900014 |
identifier_str_mv |
10.1590/1806.9282.60.06.016 0104-4230 WOS:000348406900014 |
url |
http://repositorio.unitau.br/jspui/handle/20.500.11874/2928 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.ispartof.none.fl_str_mv |
Revista da Associacao Medica Brasileira |
dc.rights.driver.fl_str_mv |
Em verificação info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Em verificação |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Assoc Medica Brasileira |
dc.publisher.country.fl_str_mv |
Brasil |
publisher.none.fl_str_mv |
Assoc Medica Brasileira |
dc.source.pt_BR.fl_str_mv |
Web of Science |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da UNITAU instname:Universidade de Taubaté (UNITAU) instacron:UNITAU |
instname_str |
Universidade de Taubaté (UNITAU) |
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UNITAU |
institution |
UNITAU |
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Repositório Institucional da UNITAU |
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Repositório Institucional da UNITAU |
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Repositório Institucional da UNITAU - Universidade de Taubaté (UNITAU) |
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1801844390819266560 |