Modelagem espaço-temporal das arboviroses nas regiões de saúde do estado da Bahia: uma abordagem epidemiológica e ambiental
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Tipo de documento: | Dissertação |
Idioma: | por |
Título da fonte: | Biblioteca Digital de Teses e Dissertações da UEFS |
Texto Completo: | http://tede2.uefs.br:8080/handle/tede/1561 |
Resumo: | Currently, arboviruses (Dengue, Zika and Chikungunya) have become a public health problem, due to the progressive and uncontrolled increase in cases. At the same time, in mid-March 2020, Bahia was faced with a serious and often lethal disease, which became the center of attention in different regions of the world, the covid-19, generating another public health problem, reducing the concern regarding the prevention and control of arboviruses. Analyzing the current situation of diseases transmitted by arboviruses in Brazil, Bahia was taken into account, since in recent years arboviruses have been growing progressively in this state. In view of this scenario, this dissertation aims to analyze the temporal trend of arbovirus rates registered in the health regions of the State of Bahia, using statistical and computational methods as a foundation. The quantitative data came from the Bahia State Health Department (SESAB), made available by the Information Technology Department of the Unified Health System (DATASUS). Population data by the Brazilian Institute of Geography and Statistics (IBGE). Statistical analyzes comprised univariate analysis (position measures, measures of dispersion and asymmetry) and bivariate analysis (Pearson's correlation coefficient and simple linear regression model with Prais Winsten correlation) and the Granger causality test. We identified positive and negative linear correlations between the rates of arbovirus notifications with the time series of relative air humidity and air temperature, from January 2017 to December 2019, in the municipality where the health region of Feira de Santana is located. -BA. The health region of Barreiras had the highest average rate of dengue cases per 100.000 inhab, Irecê in the Chikungunya rates and Vitória da Conquista in the Zika rates in the period from March 2020 to June 2021. The highest monthly percentage changes (MPV) and statistically significant, with 95% confidence, in relation to the rates of reported cases of dengue was the region of Santo Antônio de Jesus and Teixeira de Freitas in the rates of cases of Chikungunya and Zika. The findings obtained in this research may support other studies related to this theme, in addition to contributing as an indicator for evaluations of the planning of public health policies, maintenance and integration of epidemiological surveillance, which prioritize popular participation and health professionals in detection, prevention and control of arboviruses. |
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Silva Filho, Aloisio Machado da91303923572https://orcid.org/0000-0001-8250-1527http://lattes.cnpq.br/0550981915615186Araújo, Edna Maria dehttps://orcid.org/0000-0003-1643-205416204387553http://lattes.cnpq.br/535753121603153800681419555https://orcid.org/0009-0009-4151-6509http://lattes.cnpq.br/3418270158786767Souza, Jessica Suzarte Carvalho de2023-11-24T20:53:46Z2022-10-17SOUZA, Jessica Suzarte Carvalho de. Modelagem espaço-temporal das arboviroses nas regiões de saúde do estado da Bahia: uma abordagem epidemiológica e ambiental. 2022. 120 f. Dissertação (Mestrado em Modelagem em Ciência da Terra e do Ambiente) - Universidade Estadual de Feira de Santana, Feira de Santana, 2022.http://tede2.uefs.br:8080/handle/tede/1561Currently, arboviruses (Dengue, Zika and Chikungunya) have become a public health problem, due to the progressive and uncontrolled increase in cases. At the same time, in mid-March 2020, Bahia was faced with a serious and often lethal disease, which became the center of attention in different regions of the world, the covid-19, generating another public health problem, reducing the concern regarding the prevention and control of arboviruses. Analyzing the current situation of diseases transmitted by arboviruses in Brazil, Bahia was taken into account, since in recent years arboviruses have been growing progressively in this state. In view of this scenario, this dissertation aims to analyze the temporal trend of arbovirus rates registered in the health regions of the State of Bahia, using statistical and computational methods as a foundation. The quantitative data came from the Bahia State Health Department (SESAB), made available by the Information Technology Department of the Unified Health System (DATASUS). Population data by the Brazilian Institute of Geography and Statistics (IBGE). Statistical analyzes comprised univariate analysis (position measures, measures of dispersion and asymmetry) and bivariate analysis (Pearson's correlation coefficient and simple linear regression model with Prais Winsten correlation) and the Granger causality test. We identified positive and negative linear correlations between the rates of arbovirus notifications with the time series of relative air humidity and air temperature, from January 2017 to December 2019, in the municipality where the health region of Feira de Santana is located. -BA. The health region of Barreiras had the highest average rate of dengue cases per 100.000 inhab, Irecê in the Chikungunya rates and Vitória da Conquista in the Zika rates in the period from March 2020 to June 2021. The highest monthly percentage changes (MPV) and statistically significant, with 95% confidence, in relation to the rates of reported cases of dengue was the region of Santo Antônio de Jesus and Teixeira de Freitas in the rates of cases of Chikungunya and Zika. The findings obtained in this research may support other studies related to this theme, in addition to contributing as an indicator for evaluations of the planning of public health policies, maintenance and integration of epidemiological surveillance, which prioritize popular participation and health professionals in detection, prevention and control of arboviruses.Atualmente, as arboviroses (Dengue, Zika e Chikungunya) se tornaram um problema de saúde pública, devido ao aumento progressivo e descontrolado dos casos. Concomitante a isso, em meados de março de 2020, a Bahia se deparou com uma doença grave e muitas vezes letal, que se tornou o centro das atenções em diferentes regiões do mundo, a covid-19, gerando mais um problema de saúde pública, reduzindo a preocupação referente a prevenção e ao controle das arboviroses. Analisando a conjuntura atual das doenças transmitidas pelas arboviroses, no Brasil, levou-se em consideração a Bahia, já que nos últimos anos as arboviroses vem crescendo de forma progressiva neste estado. Diante deste cenário, esta dissertação tem como proposta analisar a tendência espaço temporal das taxas de arboviroses registradas nas regiões de saúde do Estado da Bahia, utilizando como alicerce métodos estatísticos e computacionais. Os dados quantitativos foram oriundos da Secretaria de saúde do estado da Bahia (SESAB), disponibilizado pelo Departamento de Informática do Sistema Único de Saúde (DATASUS). Já os dados populacionais pelo Instituto Brasileiro de Geografia e Estatística (IBGE). As análises estatísticas compreenderam análise univariada (medidas de posição, medidas de dispersão e assimetria) e bivariada (coeficiente de correlação de Pearson e modelo de regressão linear simples com correlação de Prais Winsten) e o teste de causalidade de Granger.Identificamos correlações lineares positivas e negativas entre as taxas de notificações das arboviroses com as séries temporais da umidade relativa do ar e da temperatura do ar, no período de janeiro de 2017 a dezembro de 2019, no município sede da região de saúde de Feira de Santana-BA. A região de saúde de Barreiras apresentou a maior taxa média de casos da dengue por 100.000 hab, Irecê nas taxas de Chikungunyae Vitória da Conquista nas taxas Zika no período de março de 2020 a junho de 2021. As maiores variações percentuais mensais (VPM) e estatisticamente significativa, com 95% de confiança, em relação as taxas dos casos notificados da dengue foi a região de Santo Antônio de Jesus e Teixeira de Freitas nas taxas dos casos de Chikungunya e Zika. Os achados obtidos nesta pesquisa, poderão subsidiar demais estudos relacionados a esta temática além de contribuir como indicador para avaliações do planejamento de políticas públicas de saúde, manutenção e integração da vigilância epidemiológica, que priorizem a participação popular e dos profissionais de saúde na detecção, prevenção e controle das arboviroses.Submitted by Luis Ricardo Andrade da Silva (lrasilva@uefs.br) on 2023-11-24T20:53:46Z No. of bitstreams: 1 Dissertacao_v_15_versao_imprimir_e_encadernar.pdf: 3044514 bytes, checksum: 10d11c0b376095f80f5f063d60f488b0 (MD5)Made available in DSpace on 2023-11-24T20:53:46Z (GMT). No. of bitstreams: 1 Dissertacao_v_15_versao_imprimir_e_encadernar.pdf: 3044514 bytes, checksum: 10d11c0b376095f80f5f063d60f488b0 (MD5) Previous issue date: 2022-10-17Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPESapplication/pdfporUniversidade Estadual de Feira de SantanaMestrado em Modelagem em Ciência da Terra e do AmbienteUEFSBrasilDEPARTAMENTO DE CIÊNCIAS EXATASMosquito Aedes AegyptiArbovirosesCovid-19TendênciaAedes Aegypti MosquitoArbovirusesTrendCovid-19SAUDE COLETIVA::EPIDEMIOLOGIACIENCIAS DA SAUDE::SAUDE COLETIVAModelagem espaço-temporal das arboviroses nas regiões de saúde do estado da Bahia: uma abordagem epidemiológica e ambientalinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesis-46359313461739619256006006006006007994740082289590807-1614662311676629386-61731671037544951992075167498588264571info:eu-repo/semantics/openAccessreponame:Biblioteca Digital de Teses e Dissertações da UEFSinstname:Universidade Estadual de Feira de Santana (UEFS)instacron:UEFSORIGINALDissertacao_v_15_versao_imprimir_e_encadernar.pdfDissertacao_v_15_versao_imprimir_e_encadernar.pdfapplication/pdf3044514http://tede2.uefs.br:8080/bitstream/tede/1561/2/Dissertacao_v_15_versao_imprimir_e_encadernar.pdf10d11c0b376095f80f5f063d60f488b0MD52LICENSElicense.txtlicense.txttext/plain; charset=utf-82165http://tede2.uefs.br:8080/bitstream/tede/1561/1/license.txtbd3efa91386c1718a7f26a329fdcb468MD51tede/15612023-11-24 17:53:46.341oai:tede2.uefs.br:8080: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Biblioteca Digital de Teses e Dissertaçõeshttp://tede2.uefs.br:8080/PUBhttp://tede2.uefs.br:8080/oai/requestbcuefs@uefs.br|| bcref@uefs.br||bcuefs@uefs.bropendoar:2023-11-24T20:53:46Biblioteca Digital de Teses e Dissertações da UEFS - Universidade Estadual de Feira de Santana (UEFS)false |
dc.title.por.fl_str_mv |
Modelagem espaço-temporal das arboviroses nas regiões de saúde do estado da Bahia: uma abordagem epidemiológica e ambiental |
title |
Modelagem espaço-temporal das arboviroses nas regiões de saúde do estado da Bahia: uma abordagem epidemiológica e ambiental |
spellingShingle |
Modelagem espaço-temporal das arboviroses nas regiões de saúde do estado da Bahia: uma abordagem epidemiológica e ambiental Souza, Jessica Suzarte Carvalho de Mosquito Aedes Aegypti Arboviroses Covid-19 Tendência Aedes Aegypti Mosquito Arboviruses Trend Covid-19 SAUDE COLETIVA::EPIDEMIOLOGIA CIENCIAS DA SAUDE::SAUDE COLETIVA |
title_short |
Modelagem espaço-temporal das arboviroses nas regiões de saúde do estado da Bahia: uma abordagem epidemiológica e ambiental |
title_full |
Modelagem espaço-temporal das arboviroses nas regiões de saúde do estado da Bahia: uma abordagem epidemiológica e ambiental |
title_fullStr |
Modelagem espaço-temporal das arboviroses nas regiões de saúde do estado da Bahia: uma abordagem epidemiológica e ambiental |
title_full_unstemmed |
Modelagem espaço-temporal das arboviroses nas regiões de saúde do estado da Bahia: uma abordagem epidemiológica e ambiental |
title_sort |
Modelagem espaço-temporal das arboviroses nas regiões de saúde do estado da Bahia: uma abordagem epidemiológica e ambiental |
author |
Souza, Jessica Suzarte Carvalho de |
author_facet |
Souza, Jessica Suzarte Carvalho de |
author_role |
author |
dc.contributor.advisor1.fl_str_mv |
Silva Filho, Aloisio Machado da |
dc.contributor.advisor1ID.fl_str_mv |
91303923572 https://orcid.org/0000-0001-8250-1527 |
dc.contributor.advisor1Lattes.fl_str_mv |
http://lattes.cnpq.br/0550981915615186 |
dc.contributor.advisor-co1.fl_str_mv |
Araújo, Edna Maria de |
dc.contributor.advisor-co1ID.fl_str_mv |
https://orcid.org/0000-0003-1643-2054 16204387553 |
dc.contributor.advisor-co1Lattes.fl_str_mv |
http://lattes.cnpq.br/5357531216031538 |
dc.contributor.authorID.fl_str_mv |
00681419555 https://orcid.org/0009-0009-4151-6509 |
dc.contributor.authorLattes.fl_str_mv |
http://lattes.cnpq.br/3418270158786767 |
dc.contributor.author.fl_str_mv |
Souza, Jessica Suzarte Carvalho de |
contributor_str_mv |
Silva Filho, Aloisio Machado da Araújo, Edna Maria de |
dc.subject.por.fl_str_mv |
Mosquito Aedes Aegypti Arboviroses Covid-19 Tendência |
topic |
Mosquito Aedes Aegypti Arboviroses Covid-19 Tendência Aedes Aegypti Mosquito Arboviruses Trend Covid-19 SAUDE COLETIVA::EPIDEMIOLOGIA CIENCIAS DA SAUDE::SAUDE COLETIVA |
dc.subject.eng.fl_str_mv |
Aedes Aegypti Mosquito Arboviruses Trend Covid-19 |
dc.subject.cnpq.fl_str_mv |
SAUDE COLETIVA::EPIDEMIOLOGIA CIENCIAS DA SAUDE::SAUDE COLETIVA |
description |
Currently, arboviruses (Dengue, Zika and Chikungunya) have become a public health problem, due to the progressive and uncontrolled increase in cases. At the same time, in mid-March 2020, Bahia was faced with a serious and often lethal disease, which became the center of attention in different regions of the world, the covid-19, generating another public health problem, reducing the concern regarding the prevention and control of arboviruses. Analyzing the current situation of diseases transmitted by arboviruses in Brazil, Bahia was taken into account, since in recent years arboviruses have been growing progressively in this state. In view of this scenario, this dissertation aims to analyze the temporal trend of arbovirus rates registered in the health regions of the State of Bahia, using statistical and computational methods as a foundation. The quantitative data came from the Bahia State Health Department (SESAB), made available by the Information Technology Department of the Unified Health System (DATASUS). Population data by the Brazilian Institute of Geography and Statistics (IBGE). Statistical analyzes comprised univariate analysis (position measures, measures of dispersion and asymmetry) and bivariate analysis (Pearson's correlation coefficient and simple linear regression model with Prais Winsten correlation) and the Granger causality test. We identified positive and negative linear correlations between the rates of arbovirus notifications with the time series of relative air humidity and air temperature, from January 2017 to December 2019, in the municipality where the health region of Feira de Santana is located. -BA. The health region of Barreiras had the highest average rate of dengue cases per 100.000 inhab, Irecê in the Chikungunya rates and Vitória da Conquista in the Zika rates in the period from March 2020 to June 2021. The highest monthly percentage changes (MPV) and statistically significant, with 95% confidence, in relation to the rates of reported cases of dengue was the region of Santo Antônio de Jesus and Teixeira de Freitas in the rates of cases of Chikungunya and Zika. The findings obtained in this research may support other studies related to this theme, in addition to contributing as an indicator for evaluations of the planning of public health policies, maintenance and integration of epidemiological surveillance, which prioritize popular participation and health professionals in detection, prevention and control of arboviruses. |
publishDate |
2022 |
dc.date.issued.fl_str_mv |
2022-10-17 |
dc.date.accessioned.fl_str_mv |
2023-11-24T20:53:46Z |
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info:eu-repo/semantics/publishedVersion |
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info:eu-repo/semantics/masterThesis |
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masterThesis |
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publishedVersion |
dc.identifier.citation.fl_str_mv |
SOUZA, Jessica Suzarte Carvalho de. Modelagem espaço-temporal das arboviroses nas regiões de saúde do estado da Bahia: uma abordagem epidemiológica e ambiental. 2022. 120 f. Dissertação (Mestrado em Modelagem em Ciência da Terra e do Ambiente) - Universidade Estadual de Feira de Santana, Feira de Santana, 2022. |
dc.identifier.uri.fl_str_mv |
http://tede2.uefs.br:8080/handle/tede/1561 |
identifier_str_mv |
SOUZA, Jessica Suzarte Carvalho de. Modelagem espaço-temporal das arboviroses nas regiões de saúde do estado da Bahia: uma abordagem epidemiológica e ambiental. 2022. 120 f. Dissertação (Mestrado em Modelagem em Ciência da Terra e do Ambiente) - Universidade Estadual de Feira de Santana, Feira de Santana, 2022. |
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http://tede2.uefs.br:8080/handle/tede/1561 |
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Universidade Estadual de Feira de Santana |
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UEFS |
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Brasil |
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Universidade Estadual de Feira de Santana |
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