Análise espacial de casos prováveis de febre pelo vírus Zika no município de São Luís, Maranhão, Brasil.
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Tipo de documento: | Dissertação |
Idioma: | por |
Título da fonte: | Biblioteca Digital de Teses e Dissertações da UFMA |
Texto Completo: | https://tedebc.ufma.br/jspui/handle/tede/tede/2299 |
Resumo: | The Zika virus is an arbovirus whose main transmitter vector is Aedes aegypti with a wide geographic distribution in the country. The occurrence of Fever by the Zika virus may be related to the social and environmental conditions conducive to the transmission dynamics of this disease. Thus, the objective of this study was to analyze the spatial distribution of probable cases of Zika virus (ZIKV), correlating with climatic variables and Aedes aegypti index in the municipality of São Luís, Maranhão, and socioenvironmental factors used as indicators of transmission risk and the incidence of the disease. This is an ecological, population-based and climate-based study, obtained from cases of Zika fever reported in the SINAN (National Institute of Public Health Information System) in 2015 to 2016 in the municipality of São Luís - MA, data from the Brazilian Institute of Geography and Statistics (IBGE), National Institute of Meteorology (INMET) and the Aedes aegypti Index Survey (LIRAa). A descriptive analysis of the variables related to the cases of the disease was performed. In the spatial analysis, spatial statistical techniques were used, Moran and Local Index for the identification of spatial clusters. For the temporal approach, the negative binomial regression model was used to verify the effect of the climatic variables and the Aedes aegypti Index Survey on the occurrence of cases. Stata software version 14.0 was used for statistical analysis and ArcGis version 10.5 software for mapping and calculating Moran global indexes. During the study period, 2,855 cases of Zika fever were registered in the municipality of São Luís, with a high incidence rate in the northern region of the municipality. In all SD there were records of cases of fever by the zika virus, with a higher concentration in the Bequimão DS. There was a statistically significant correlation between the Zika virus incidence rate and maximum temperature (p = 0.01), minimum humidity (p = 0.003) and IIP (p = 00.1). The overall Moran index did not identify significant autocorrelation of the incidence rate. High incidence rates were identified in locations with better socioenvironmental conditions of urban structure and higher rates of vector infestation, evidencing a close relation of the incidence with areas with high IIP, which may characterize an alert situation in the municipality of São Luís. , the underreporting may have contributed to the absence of a significant spatial correlation of the incidence of Zika virus in the municipality. |
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AQUINO JÚNIOR, José308705958-73http://lattes.cnpq.br/0381433540947757BRANCO, Maria dos Remédios Freitas Carvalho255487513-87http://lattes.cnpq.br/5449951869928014AQUIO JÚNIOR, José308705958-73http://lattes.cnpq.br/0381433540947757BRANCO, Maria dos Remédios Freitas Carvalho255487513-87http://lattes.cnpq.br/5449951869928014SANTOS, Alcione Miranda doshttp://lattes.cnpq.br/2709550775435326MEDEIROS, Maria Nilza Limahttp://lattes.cnpq.br/2755510184384522RODRIGUES, Zulimar Márita Ribeirohttp://lattes.cnpq.br/6542138123433450000215493-54http://lattes.cnpq.br/7826720461138027ARAUJO, Adriana Soraya2018-06-28T13:14:14Z2018-03-19ARAUJO, Adriana Soraya. Análise espacial de casos prováveis de febre pelo vírus Zika no município de São Luís, Maranhão, Brasil. 2018. 94f. Dissertação (Programa de Pós-Graduação em Saúde e Ambiente/CCBS) - Universidade Federal do Maranhão, São Luís.https://tedebc.ufma.br/jspui/handle/tede/tede/2299The Zika virus is an arbovirus whose main transmitter vector is Aedes aegypti with a wide geographic distribution in the country. The occurrence of Fever by the Zika virus may be related to the social and environmental conditions conducive to the transmission dynamics of this disease. Thus, the objective of this study was to analyze the spatial distribution of probable cases of Zika virus (ZIKV), correlating with climatic variables and Aedes aegypti index in the municipality of São Luís, Maranhão, and socioenvironmental factors used as indicators of transmission risk and the incidence of the disease. This is an ecological, population-based and climate-based study, obtained from cases of Zika fever reported in the SINAN (National Institute of Public Health Information System) in 2015 to 2016 in the municipality of São Luís - MA, data from the Brazilian Institute of Geography and Statistics (IBGE), National Institute of Meteorology (INMET) and the Aedes aegypti Index Survey (LIRAa). A descriptive analysis of the variables related to the cases of the disease was performed. In the spatial analysis, spatial statistical techniques were used, Moran and Local Index for the identification of spatial clusters. For the temporal approach, the negative binomial regression model was used to verify the effect of the climatic variables and the Aedes aegypti Index Survey on the occurrence of cases. Stata software version 14.0 was used for statistical analysis and ArcGis version 10.5 software for mapping and calculating Moran global indexes. During the study period, 2,855 cases of Zika fever were registered in the municipality of São Luís, with a high incidence rate in the northern region of the municipality. In all SD there were records of cases of fever by the zika virus, with a higher concentration in the Bequimão DS. There was a statistically significant correlation between the Zika virus incidence rate and maximum temperature (p = 0.01), minimum humidity (p = 0.003) and IIP (p = 00.1). The overall Moran index did not identify significant autocorrelation of the incidence rate. High incidence rates were identified in locations with better socioenvironmental conditions of urban structure and higher rates of vector infestation, evidencing a close relation of the incidence with areas with high IIP, which may characterize an alert situation in the municipality of São Luís. , the underreporting may have contributed to the absence of a significant spatial correlation of the incidence of Zika virus in the municipality.O vírus Zika é um arbovírus cujo principal vetor transmissor é o Aedes aegypti com ampla distribuição geográfica no país. A ocorrência da Febre pelo vírus Zika pode estar relacionada às condições sociais e ambientais propícias à dinâmica de transmissão dessa doença. Assim, o objetivo deste estudo foi analisar a distribuição espacial de casos prováveis de febre pelo vírus Zika (ZIKV), correlacionando com variáveis climáticas e índice de infestação predial (IIP) pelo Aedes aegypti no município de São Luís, Maranhão, e fatores socioambientais utilizados como indicadores de risco de transmissão e a incidência da doença. Trata-se de um estudo ecológico, de base populacional e de dados climáticos, obtidos a partir de casos de febre pelo vírus Zika, notificados no Sistema de Informação de Agravos de Notificação (SINAN) em 2015 a 2016, ocorridos no município de São Luís – MA, dados do Instituto Brasileiro de Geografia e Estatística (IBGE), Instituto Nacional de Meteorologia (INMET) e o Variável Levantamento de Índice Rápido de Aedes aegypti (LIRAa). Foi realizada foi realizada a análise descritiva das variáveis referente aos casos da doença. Na análise espacial utilizaram-se técnicas de estatística espacial, Índice de Moran e Local para a identificação de clusters espaciais. Para abordagem temporal foi utilizado o modelo de regressão binomial negativa ajustado para verificar o efeito das variáveis climáticas e do Levantamento de Índice Rápido do Aedes aegypti na ocorrência de casos. Utilizou-se o software Stata versão 14.0 para a análise estatística e o software ArcGis versão 10.5 para elaboração dos mapas e cálculo dos índices de Moran global. No período estudado foram registrados 2.855 casos de febre pelo vírus Zika no município de São Luís, com alta taxa de incidência na região norte do município. Em todos os DS houve registros de casos de febre pelo vírus zika, com maior concentração no DS Bequimão. Verificou-se correlação estatisticamente significativa entre a taxa de incidência de febre pelo vírus Zika e temperatura máxima (p=0,01), umidade mínima (p=0,003) e IIP (p=00,1). O índice de Moran global não identificou autocorrelação significativa da taxa de incidência. Altas taxas de incidências foram identificadas em localidades com melhores condições socioambientais de estrutura urbana e maiores índices de infestação vetorial, evidenciando estreita relação da incidência com as áreas com elevados IIP, o que pode caracterizar uma situação de alerta no município de São Luís. Além disso, as subnotificações podem ter contribuído para a ausência de correlação espacial significativa da incidência de febre pelo Vírus Zika no município.Submitted by Daniella Santos (daniella.santos@ufma.br) on 2018-06-28T13:14:14Z No. of bitstreams: 1 AdrianaAraujo.pdf: 4867647 bytes, checksum: 05d035c19105a7f5e5833194e6560836 (MD5)Made available in DSpace on 2018-06-28T13:14:14Z (GMT). No. of bitstreams: 1 AdrianaAraujo.pdf: 4867647 bytes, checksum: 05d035c19105a7f5e5833194e6560836 (MD5) Previous issue date: 2018-03-19CAPESapplication/pdfporUniversidade Federal do MaranhãoPROGRAMA DE PÓS-GRADUAÇÃO EM SAÚDE E AMBIENTE/CCBSUFMABrasilDEPARTAMENTO DE GEOCIENCIAS/CCHZika vírus; Análise espacial; Fatores socioambientaisZika virus; Spatial analysis; Socioenvironmental factors.Saúde PublicaAnálise espacial de casos prováveis de febre pelo vírus Zika no município de São Luís, Maranhão, Brasil.Spatial analysis of probable cases of Zika fever in the municipality of São Luís, Maranhão, Brazil.info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/openAccessreponame:Biblioteca Digital de Teses e Dissertações da UFMAinstname:Universidade Federal do Maranhão (UFMA)instacron:UFMAORIGINALAdrianaAraujo.pdfAdrianaAraujo.pdfapplication/pdf4867647http://tedebc.ufma.br:8080/bitstream/tede/2299/2/AdrianaAraujo.pdf05d035c19105a7f5e5833194e6560836MD52LICENSElicense.txtlicense.txttext/plain; charset=utf-82255http://tedebc.ufma.br:8080/bitstream/tede/2299/1/license.txt97eeade1fce43278e63fe063657f8083MD51tede/22992018-06-28 10:14:14.331oai:tede2: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Biblioteca Digital de Teses e Dissertaçõeshttps://tedebc.ufma.br/jspui/PUBhttp://tedebc.ufma.br:8080/oai/requestrepositorio@ufma.br||repositorio@ufma.bropendoar:21312018-06-28T13:14:14Biblioteca Digital de Teses e Dissertações da UFMA - Universidade Federal do Maranhão (UFMA)false |
dc.title.por.fl_str_mv |
Análise espacial de casos prováveis de febre pelo vírus Zika no município de São Luís, Maranhão, Brasil. |
dc.title.alternative.eng.fl_str_mv |
Spatial analysis of probable cases of Zika fever in the municipality of São Luís, Maranhão, Brazil. |
title |
Análise espacial de casos prováveis de febre pelo vírus Zika no município de São Luís, Maranhão, Brasil. |
spellingShingle |
Análise espacial de casos prováveis de febre pelo vírus Zika no município de São Luís, Maranhão, Brasil. ARAUJO, Adriana Soraya Zika vírus; Análise espacial; Fatores socioambientais Zika virus; Spatial analysis; Socioenvironmental factors. Saúde Publica |
title_short |
Análise espacial de casos prováveis de febre pelo vírus Zika no município de São Luís, Maranhão, Brasil. |
title_full |
Análise espacial de casos prováveis de febre pelo vírus Zika no município de São Luís, Maranhão, Brasil. |
title_fullStr |
Análise espacial de casos prováveis de febre pelo vírus Zika no município de São Luís, Maranhão, Brasil. |
title_full_unstemmed |
Análise espacial de casos prováveis de febre pelo vírus Zika no município de São Luís, Maranhão, Brasil. |
title_sort |
Análise espacial de casos prováveis de febre pelo vírus Zika no município de São Luís, Maranhão, Brasil. |
author |
ARAUJO, Adriana Soraya |
author_facet |
ARAUJO, Adriana Soraya |
author_role |
author |
dc.contributor.advisor1.fl_str_mv |
AQUINO JÚNIOR, José |
dc.contributor.advisor1ID.fl_str_mv |
308705958-73 |
dc.contributor.advisor1Lattes.fl_str_mv |
http://lattes.cnpq.br/0381433540947757 |
dc.contributor.advisor-co1.fl_str_mv |
BRANCO, Maria dos Remédios Freitas Carvalho |
dc.contributor.advisor-co1ID.fl_str_mv |
255487513-87 |
dc.contributor.advisor-co1Lattes.fl_str_mv |
http://lattes.cnpq.br/5449951869928014 |
dc.contributor.referee1.fl_str_mv |
AQUIO JÚNIOR, José |
dc.contributor.referee1ID.fl_str_mv |
308705958-73 |
dc.contributor.referee1Lattes.fl_str_mv |
http://lattes.cnpq.br/0381433540947757 |
dc.contributor.referee2.fl_str_mv |
BRANCO, Maria dos Remédios Freitas Carvalho |
dc.contributor.referee2ID.fl_str_mv |
255487513-87 |
dc.contributor.referee2Lattes.fl_str_mv |
http://lattes.cnpq.br/5449951869928014 |
dc.contributor.referee3.fl_str_mv |
SANTOS, Alcione Miranda dos |
dc.contributor.referee3Lattes.fl_str_mv |
http://lattes.cnpq.br/2709550775435326 |
dc.contributor.referee4.fl_str_mv |
MEDEIROS, Maria Nilza Lima |
dc.contributor.referee4Lattes.fl_str_mv |
http://lattes.cnpq.br/2755510184384522 |
dc.contributor.referee5.fl_str_mv |
RODRIGUES, Zulimar Márita Ribeiro |
dc.contributor.referee5Lattes.fl_str_mv |
http://lattes.cnpq.br/6542138123433450 |
dc.contributor.authorID.fl_str_mv |
000215493-54 |
dc.contributor.authorLattes.fl_str_mv |
http://lattes.cnpq.br/7826720461138027 |
dc.contributor.author.fl_str_mv |
ARAUJO, Adriana Soraya |
contributor_str_mv |
AQUINO JÚNIOR, José BRANCO, Maria dos Remédios Freitas Carvalho AQUIO JÚNIOR, José BRANCO, Maria dos Remédios Freitas Carvalho SANTOS, Alcione Miranda dos MEDEIROS, Maria Nilza Lima RODRIGUES, Zulimar Márita Ribeiro |
dc.subject.por.fl_str_mv |
Zika vírus; Análise espacial; Fatores socioambientais |
topic |
Zika vírus; Análise espacial; Fatores socioambientais Zika virus; Spatial analysis; Socioenvironmental factors. Saúde Publica |
dc.subject.eng.fl_str_mv |
Zika virus; Spatial analysis; Socioenvironmental factors. |
dc.subject.cnpq.fl_str_mv |
Saúde Publica |
description |
The Zika virus is an arbovirus whose main transmitter vector is Aedes aegypti with a wide geographic distribution in the country. The occurrence of Fever by the Zika virus may be related to the social and environmental conditions conducive to the transmission dynamics of this disease. Thus, the objective of this study was to analyze the spatial distribution of probable cases of Zika virus (ZIKV), correlating with climatic variables and Aedes aegypti index in the municipality of São Luís, Maranhão, and socioenvironmental factors used as indicators of transmission risk and the incidence of the disease. This is an ecological, population-based and climate-based study, obtained from cases of Zika fever reported in the SINAN (National Institute of Public Health Information System) in 2015 to 2016 in the municipality of São Luís - MA, data from the Brazilian Institute of Geography and Statistics (IBGE), National Institute of Meteorology (INMET) and the Aedes aegypti Index Survey (LIRAa). A descriptive analysis of the variables related to the cases of the disease was performed. In the spatial analysis, spatial statistical techniques were used, Moran and Local Index for the identification of spatial clusters. For the temporal approach, the negative binomial regression model was used to verify the effect of the climatic variables and the Aedes aegypti Index Survey on the occurrence of cases. Stata software version 14.0 was used for statistical analysis and ArcGis version 10.5 software for mapping and calculating Moran global indexes. During the study period, 2,855 cases of Zika fever were registered in the municipality of São Luís, with a high incidence rate in the northern region of the municipality. In all SD there were records of cases of fever by the zika virus, with a higher concentration in the Bequimão DS. There was a statistically significant correlation between the Zika virus incidence rate and maximum temperature (p = 0.01), minimum humidity (p = 0.003) and IIP (p = 00.1). The overall Moran index did not identify significant autocorrelation of the incidence rate. High incidence rates were identified in locations with better socioenvironmental conditions of urban structure and higher rates of vector infestation, evidencing a close relation of the incidence with areas with high IIP, which may characterize an alert situation in the municipality of São Luís. , the underreporting may have contributed to the absence of a significant spatial correlation of the incidence of Zika virus in the municipality. |
publishDate |
2018 |
dc.date.accessioned.fl_str_mv |
2018-06-28T13:14:14Z |
dc.date.issued.fl_str_mv |
2018-03-19 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.citation.fl_str_mv |
ARAUJO, Adriana Soraya. Análise espacial de casos prováveis de febre pelo vírus Zika no município de São Luís, Maranhão, Brasil. 2018. 94f. Dissertação (Programa de Pós-Graduação em Saúde e Ambiente/CCBS) - Universidade Federal do Maranhão, São Luís. |
dc.identifier.uri.fl_str_mv |
https://tedebc.ufma.br/jspui/handle/tede/tede/2299 |
identifier_str_mv |
ARAUJO, Adriana Soraya. Análise espacial de casos prováveis de febre pelo vírus Zika no município de São Luís, Maranhão, Brasil. 2018. 94f. Dissertação (Programa de Pós-Graduação em Saúde e Ambiente/CCBS) - Universidade Federal do Maranhão, São Luís. |
url |
https://tedebc.ufma.br/jspui/handle/tede/tede/2299 |
dc.language.iso.fl_str_mv |
por |
language |
por |
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 |
Universidade Federal do Maranhão |
dc.publisher.program.fl_str_mv |
PROGRAMA DE PÓS-GRADUAÇÃO EM SAÚDE E AMBIENTE/CCBS |
dc.publisher.initials.fl_str_mv |
UFMA |
dc.publisher.country.fl_str_mv |
Brasil |
dc.publisher.department.fl_str_mv |
DEPARTAMENTO DE GEOCIENCIAS/CCH |
publisher.none.fl_str_mv |
Universidade Federal do Maranhão |
dc.source.none.fl_str_mv |
reponame:Biblioteca Digital de Teses e Dissertações da UFMA instname:Universidade Federal do Maranhão (UFMA) instacron:UFMA |
instname_str |
Universidade Federal do Maranhão (UFMA) |
instacron_str |
UFMA |
institution |
UFMA |
reponame_str |
Biblioteca Digital de Teses e Dissertações da UFMA |
collection |
Biblioteca Digital de Teses e Dissertações da UFMA |
bitstream.url.fl_str_mv |
http://tedebc.ufma.br:8080/bitstream/tede/2299/2/AdrianaAraujo.pdf http://tedebc.ufma.br:8080/bitstream/tede/2299/1/license.txt |
bitstream.checksum.fl_str_mv |
05d035c19105a7f5e5833194e6560836 97eeade1fce43278e63fe063657f8083 |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 |
repository.name.fl_str_mv |
Biblioteca Digital de Teses e Dissertações da UFMA - Universidade Federal do Maranhão (UFMA) |
repository.mail.fl_str_mv |
repositorio@ufma.br||repositorio@ufma.br |
_version_ |
1809926190047166464 |