Análise da distribuição espacial de beribéri e de síndrome respiratória aguda grave por covid-19
Ano de defesa: | 2023 |
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Autor(a) principal: | |
Orientador(a): | |
Banca de defesa: | , , , , |
Tipo de documento: | Tese |
Tipo de acesso: | Acesso aberto |
Idioma: | por |
Instituição de defesa: |
Universidade Federal do Maranhão
|
Programa de Pós-Graduação: |
PROGRAMA DE PÓS-GRADUAÇÃO EM SAÚDE COLETIVA/CCBS
|
Departamento: |
DEPARTAMENTO DE PATOLOGIA/CCBS
|
País: |
Brasil
|
Palavras-chave em Português: | |
Área do conhecimento CNPq: | |
Link de acesso: | https://tedebc.ufma.br/jspui/handle/tede/tede/4727 |
Resumo: | Introduction: The location and distribution of diseases are fundamental in the epidemiological context of a society. Spatial analysis makes it possible to study geographic and spatial patterns of health and disease, assessing the relationships between spatial data and health. Objective: To discuss the importance of spatial distribution analysis as a health surveillance tool for neglected diseases and severe acute respiratory syndromes (SARIs). Method: This is a descriptive study, which addresses the analysis of the spatial distribution for two diseases: beriberi and SARS due to COVID-19. The first article is an ecological study with spatial distribution analysis, based on three databases: HORUS System (thiamine distribution); Ministry of Health (cases of beriberi) and Mortality Information System (deaths due to beriberi), from 2014 to 2020, in all federative units of Brazil. The second article is a descriptive study of SARS lethality rates by COVID-19 by municipality of notification and residence in Maranhão, based on records in the Information System for Epidemiological Surveillance of Influenza (SIVEP-Gripe), by municipalities of notification and of residence, from March 2020 to December 2022. Results: In the first study, 542 cases and 177 deaths from beriberi were recorded. Roraima and Tocantins registered the majority of cases (518; 95.5%), especially in the indigenous population (269; 49.6%). Cases predominated in men (405; 74.7%), rural areas (335; 61.8%) and with alcohol consumption (359; 66.2%). Deaths were more frequent in the white race/color (85; 48.0%), in São Paulo (36; 20.3%) and Minas Gerais (28; 15.8%). Indigenous establishments received a low quantity of thiamine tablets (1,381,141; 3.8%). In the second study, on SARS lethality due to COVID-19, 3,617 deaths were reported in 2020, 5,288 in 2021 and 588 in 2022. The lethality rate in the period was 39.1%, 45.3% in 2020; 36.4% in 2021; and 33.3% in 2022. The lethality rate by municipality of notification and residence was equal to 100% in 18 (8.2%) and five (2.3%) municipalities, respectively. 106 municipalities (48.8%) did not notify cases, while 129 municipalities (59.4%) did not register deaths. Conclusion: Beriberi is a neglected disease and is present in all regions, especially in poor, vulnerable areas with an indigenous population. Most cases are related to men, in rural areas, with alcohol consumption. Differences were found between lethality rates by municipality of hospitalization and municipality of residence. The data suggest that there are underreporting/underreporting of cases and deaths in SIVEP-Flu, changing SARS lethality rates due to COVID-19. |
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CASTELO BRANCO, Maria dos Remédios Freitashttp://lattes.cnpq.br/5449951869928014CASTELO BRANCO, Maria dos Remédios Freitashttp://lattes.cnpq.br/5449951869928014MEDEIROS, Maria Nilza Limahttp://lattes.cnpq.br/2755510184384522FROTA, Maria Tereza Borges Araújohttp://lattes.cnpq.br/6922517649206885FRANÇA, Ana Karina Teixeira Da Cunhahttp://lattes.cnpq.br/8389486900285691SOUZA, Bruno Feres dehttp://lattes.cnpq.br/4112635495117258http://lattes.cnpq.br/4553180507139665MAXIMINO, Flávio Donalwan Sá2023-05-29T14:36:05Z2023-05-09MAXIMINO, Flávio Donalwan Sá. Análise da distribuição espacial de beribéri e de síndrome respiratória aguda grave por covid-19. 2023. 153 f. Tese (Programa de Pós-Graduação em Saúde Coletiva/CCBS) - Universidade Federal do Maranhão, São Luís, 2023.https://tedebc.ufma.br/jspui/handle/tede/tede/4727Introduction: The location and distribution of diseases are fundamental in the epidemiological context of a society. Spatial analysis makes it possible to study geographic and spatial patterns of health and disease, assessing the relationships between spatial data and health. Objective: To discuss the importance of spatial distribution analysis as a health surveillance tool for neglected diseases and severe acute respiratory syndromes (SARIs). Method: This is a descriptive study, which addresses the analysis of the spatial distribution for two diseases: beriberi and SARS due to COVID-19. The first article is an ecological study with spatial distribution analysis, based on three databases: HORUS System (thiamine distribution); Ministry of Health (cases of beriberi) and Mortality Information System (deaths due to beriberi), from 2014 to 2020, in all federative units of Brazil. The second article is a descriptive study of SARS lethality rates by COVID-19 by municipality of notification and residence in Maranhão, based on records in the Information System for Epidemiological Surveillance of Influenza (SIVEP-Gripe), by municipalities of notification and of residence, from March 2020 to December 2022. Results: In the first study, 542 cases and 177 deaths from beriberi were recorded. Roraima and Tocantins registered the majority of cases (518; 95.5%), especially in the indigenous population (269; 49.6%). Cases predominated in men (405; 74.7%), rural areas (335; 61.8%) and with alcohol consumption (359; 66.2%). Deaths were more frequent in the white race/color (85; 48.0%), in São Paulo (36; 20.3%) and Minas Gerais (28; 15.8%). Indigenous establishments received a low quantity of thiamine tablets (1,381,141; 3.8%). In the second study, on SARS lethality due to COVID-19, 3,617 deaths were reported in 2020, 5,288 in 2021 and 588 in 2022. The lethality rate in the period was 39.1%, 45.3% in 2020; 36.4% in 2021; and 33.3% in 2022. The lethality rate by municipality of notification and residence was equal to 100% in 18 (8.2%) and five (2.3%) municipalities, respectively. 106 municipalities (48.8%) did not notify cases, while 129 municipalities (59.4%) did not register deaths. Conclusion: Beriberi is a neglected disease and is present in all regions, especially in poor, vulnerable areas with an indigenous population. Most cases are related to men, in rural areas, with alcohol consumption. Differences were found between lethality rates by municipality of hospitalization and municipality of residence. The data suggest that there are underreporting/underreporting of cases and deaths in SIVEP-Flu, changing SARS lethality rates due to COVID-19.Introdução: A localização e a distribuição das doenças são fundamentais no contexto epidemiológico de uma sociedade. A análise espacial permite estudar padrões geográficos e espaciais de saúde e doença, avaliando as relações entre os dados espaciais e a saúde. Objetivo: Discutir a importância da análise da distribuição espacial como ferramenta de vigilância em saúde de doenças negligenciadas e de síndromes respiratórias agudas graves (SRAG). Método: Trata-se de estudo descritivo, que aborda a análise da distribuição espacial para duas doenças: o beribéri e a SRAG por COVID-19. O primeiro artigo é um estudo ecológico com análise de distribuição espacial, com base em três bancos de dados: Sistema HÓRUS (distribuição de tiamina); Ministério da Saúde (casos de beribéri) e Sistema de Informação sobre Mortalidade (óbitos por beribéri), de 2014 a 2020, em todas as unidades federativas do Brasil. O segundo artigo é um estudo descritivo das taxas de letalidade SRAG por COVID-19 por município de notificação e de residência no Maranhão, a partir de registros no Sistema de Informação da Vigilância Epidemiológica da Gripe (SIVEP-Gripe), por municípios de notificação e de residência, de março de 2020 a dezembro de 2022. Resultados: No primeiro estudo, registrou se 542 casos e 177 óbitos por beribéri. Roraima e Tocantins registraram a maioria dos casos (518; 95,5%), sobretudo na população indígena (269; 49,6%). Os casos predominaram em homens (405; 74,7%), áreas rurais (335; 61,8%) e com consumo de bebida alcoólica (359; 66,2%). Os óbitos foram mais frequentes na raça/cor branca (85; 48,0%), em São Paulo (36; 20,3%) e Minas Gerais (28; 15,8%). Os estabelecimentos indígenas receberam baixo quantitativo de comprimidos de tiamina (1.381.141; 3,8%). No segundo estudo, sobre a letalidade da SRAG por COVID-19, foram notificados 3.617 óbitos em 2020, 5.288 em 2021 e 588 em 2022. A taxa de letalidade no período foi de 39,1%, sendo 45,3% em 2020; 36,4% em 2021; e 33,3% em 2022. A taxa de letalidade por município de notificação e de residência foi igual a 100% em 18 (8,2%) e cinco (2,3%) municípios, respectivamente. Não notificaram casos 106 municípios (48,8%), enquanto 129 municípios (59,4%) não registraram óbitos. Conclusão: O beribéri é uma doença negligenciada e está presente em todas as regiões, principalmente nas áreas pobres, vulneráveis e com população indígena. A maioria dos casos está relacionado a homens, em áreas rurais, com consumo de bebida alcoólica. Encontrou-se diferenças entre as taxas de letalidade por município de internação e o município de residência. Os dados sugerem que há sub registros/subnotificações de casos e óbitos no SIVEP-Gripe, alterando as taxas de letalidade de SRAG por COVID-19.Submitted by Daniella Santos (daniella.santos@ufma.br) on 2023-05-29T14:36:04Z No. of bitstreams: 1 FLÁVIODONALWANMAXIMINO.pdf: 6708681 bytes, checksum: d6220b6fa6ff5e530752c35e807bf459 (MD5)Made available in DSpace on 2023-05-29T14:36:05Z (GMT). No. of bitstreams: 1 FLÁVIODONALWANMAXIMINO.pdf: 6708681 bytes, checksum: d6220b6fa6ff5e530752c35e807bf459 (MD5) Previous issue date: 2023-05-09CAPESFAPEMAapplication/pdfporUniversidade Federal do MaranhãoPROGRAMA DE PÓS-GRADUAÇÃO EM SAÚDE COLETIVA/CCBSUFMABrasilDEPARTAMENTO DE PATOLOGIA/CCBSanálise espacial;beribéri;vigilância em saúde pública;pobreza;covid-19;Síndrome Respiratória Aguda Grave (SRAG);letalidade;spatial analysis;beriberi;public health surveillance;poverty;coivd-19;Severe Acute Respiratory Syndrome (SARS);lethality.Saúde PublicaAnálise da distribuição espacial de beribéri e de síndrome respiratória aguda grave por covid-19Analysis of the spatial distribution of beriberi and severe acute respiratory syndrome due to covid-19info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisinfo:eu-repo/semantics/openAccessreponame:Biblioteca Digital de Teses e Dissertações da UFMAinstname:Universidade Federal do Maranhão (UFMA)instacron:UFMAORIGINALFLÁVIODONALWANMAXIMINO.pdfFLÁVIODONALWANMAXIMINO.pdfapplication/pdf6708681http://tedebc.ufma.br:8080/bitstream/tede/4727/2/FL%C3%81VIODONALWANMAXIMINO.pdfd6220b6fa6ff5e530752c35e807bf459MD52LICENSElicense.txtlicense.txttext/plain; charset=utf-82255http://tedebc.ufma.br:8080/bitstream/tede/4727/1/license.txt97eeade1fce43278e63fe063657f8083MD51tede/47272023-05-29 11:36:05.698oai: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:21312023-05-29T14:36:05Biblioteca Digital de Teses e Dissertações da UFMA - Universidade Federal do Maranhão (UFMA)false |
dc.title.por.fl_str_mv |
Análise da distribuição espacial de beribéri e de síndrome respiratória aguda grave por covid-19 |
dc.title.alternative.eng.fl_str_mv |
Analysis of the spatial distribution of beriberi and severe acute respiratory syndrome due to covid-19 |
title |
Análise da distribuição espacial de beribéri e de síndrome respiratória aguda grave por covid-19 |
spellingShingle |
Análise da distribuição espacial de beribéri e de síndrome respiratória aguda grave por covid-19 MAXIMINO, Flávio Donalwan Sá análise espacial; beribéri; vigilância em saúde pública; pobreza; covid-19; Síndrome Respiratória Aguda Grave (SRAG); letalidade; spatial analysis; beriberi; public health surveillance; poverty; coivd-19; Severe Acute Respiratory Syndrome (SARS); lethality. Saúde Publica |
title_short |
Análise da distribuição espacial de beribéri e de síndrome respiratória aguda grave por covid-19 |
title_full |
Análise da distribuição espacial de beribéri e de síndrome respiratória aguda grave por covid-19 |
title_fullStr |
Análise da distribuição espacial de beribéri e de síndrome respiratória aguda grave por covid-19 |
title_full_unstemmed |
Análise da distribuição espacial de beribéri e de síndrome respiratória aguda grave por covid-19 |
title_sort |
Análise da distribuição espacial de beribéri e de síndrome respiratória aguda grave por covid-19 |
author |
MAXIMINO, Flávio Donalwan Sá |
author_facet |
MAXIMINO, Flávio Donalwan Sá |
author_role |
author |
dc.contributor.advisor1.fl_str_mv |
CASTELO BRANCO, Maria dos Remédios Freitas |
dc.contributor.advisor1Lattes.fl_str_mv |
http://lattes.cnpq.br/5449951869928014 |
dc.contributor.referee1.fl_str_mv |
CASTELO BRANCO, Maria dos Remédios Freitas |
dc.contributor.referee1Lattes.fl_str_mv |
http://lattes.cnpq.br/5449951869928014 |
dc.contributor.referee2.fl_str_mv |
MEDEIROS, Maria Nilza Lima |
dc.contributor.referee2Lattes.fl_str_mv |
http://lattes.cnpq.br/2755510184384522 |
dc.contributor.referee3.fl_str_mv |
FROTA, Maria Tereza Borges Araújo |
dc.contributor.referee3Lattes.fl_str_mv |
http://lattes.cnpq.br/6922517649206885 |
dc.contributor.referee4.fl_str_mv |
FRANÇA, Ana Karina Teixeira Da Cunha |
dc.contributor.referee4Lattes.fl_str_mv |
http://lattes.cnpq.br/8389486900285691 |
dc.contributor.referee5.fl_str_mv |
SOUZA, Bruno Feres de |
dc.contributor.referee5Lattes.fl_str_mv |
http://lattes.cnpq.br/4112635495117258 |
dc.contributor.authorLattes.fl_str_mv |
http://lattes.cnpq.br/4553180507139665 |
dc.contributor.author.fl_str_mv |
MAXIMINO, Flávio Donalwan Sá |
contributor_str_mv |
CASTELO BRANCO, Maria dos Remédios Freitas CASTELO BRANCO, Maria dos Remédios Freitas MEDEIROS, Maria Nilza Lima FROTA, Maria Tereza Borges Araújo FRANÇA, Ana Karina Teixeira Da Cunha SOUZA, Bruno Feres de |
dc.subject.por.fl_str_mv |
análise espacial; beribéri; vigilância em saúde pública; pobreza; covid-19; Síndrome Respiratória Aguda Grave (SRAG); letalidade; spatial analysis; beriberi; public health surveillance; poverty; coivd-19; Severe Acute Respiratory Syndrome (SARS); lethality. |
topic |
análise espacial; beribéri; vigilância em saúde pública; pobreza; covid-19; Síndrome Respiratória Aguda Grave (SRAG); letalidade; spatial analysis; beriberi; public health surveillance; poverty; coivd-19; Severe Acute Respiratory Syndrome (SARS); lethality. Saúde Publica |
dc.subject.cnpq.fl_str_mv |
Saúde Publica |
description |
Introduction: The location and distribution of diseases are fundamental in the epidemiological context of a society. Spatial analysis makes it possible to study geographic and spatial patterns of health and disease, assessing the relationships between spatial data and health. Objective: To discuss the importance of spatial distribution analysis as a health surveillance tool for neglected diseases and severe acute respiratory syndromes (SARIs). Method: This is a descriptive study, which addresses the analysis of the spatial distribution for two diseases: beriberi and SARS due to COVID-19. The first article is an ecological study with spatial distribution analysis, based on three databases: HORUS System (thiamine distribution); Ministry of Health (cases of beriberi) and Mortality Information System (deaths due to beriberi), from 2014 to 2020, in all federative units of Brazil. The second article is a descriptive study of SARS lethality rates by COVID-19 by municipality of notification and residence in Maranhão, based on records in the Information System for Epidemiological Surveillance of Influenza (SIVEP-Gripe), by municipalities of notification and of residence, from March 2020 to December 2022. Results: In the first study, 542 cases and 177 deaths from beriberi were recorded. Roraima and Tocantins registered the majority of cases (518; 95.5%), especially in the indigenous population (269; 49.6%). Cases predominated in men (405; 74.7%), rural areas (335; 61.8%) and with alcohol consumption (359; 66.2%). Deaths were more frequent in the white race/color (85; 48.0%), in São Paulo (36; 20.3%) and Minas Gerais (28; 15.8%). Indigenous establishments received a low quantity of thiamine tablets (1,381,141; 3.8%). In the second study, on SARS lethality due to COVID-19, 3,617 deaths were reported in 2020, 5,288 in 2021 and 588 in 2022. The lethality rate in the period was 39.1%, 45.3% in 2020; 36.4% in 2021; and 33.3% in 2022. The lethality rate by municipality of notification and residence was equal to 100% in 18 (8.2%) and five (2.3%) municipalities, respectively. 106 municipalities (48.8%) did not notify cases, while 129 municipalities (59.4%) did not register deaths. Conclusion: Beriberi is a neglected disease and is present in all regions, especially in poor, vulnerable areas with an indigenous population. Most cases are related to men, in rural areas, with alcohol consumption. Differences were found between lethality rates by municipality of hospitalization and municipality of residence. The data suggest that there are underreporting/underreporting of cases and deaths in SIVEP-Flu, changing SARS lethality rates due to COVID-19. |
publishDate |
2023 |
dc.date.accessioned.fl_str_mv |
2023-05-29T14:36:05Z |
dc.date.issued.fl_str_mv |
2023-05-09 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/doctoralThesis |
format |
doctoralThesis |
status_str |
publishedVersion |
dc.identifier.citation.fl_str_mv |
MAXIMINO, Flávio Donalwan Sá. Análise da distribuição espacial de beribéri e de síndrome respiratória aguda grave por covid-19. 2023. 153 f. Tese (Programa de Pós-Graduação em Saúde Coletiva/CCBS) - Universidade Federal do Maranhão, São Luís, 2023. |
dc.identifier.uri.fl_str_mv |
https://tedebc.ufma.br/jspui/handle/tede/tede/4727 |
identifier_str_mv |
MAXIMINO, Flávio Donalwan Sá. Análise da distribuição espacial de beribéri e de síndrome respiratória aguda grave por covid-19. 2023. 153 f. Tese (Programa de Pós-Graduação em Saúde Coletiva/CCBS) - Universidade Federal do Maranhão, São Luís, 2023. |
url |
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Universidade Federal do Maranhão |
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PROGRAMA DE PÓS-GRADUAÇÃO EM SAÚDE COLETIVA/CCBS |
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UFMA |
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DEPARTAMENTO DE PATOLOGIA/CCBS |
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Universidade Federal do Maranhão |
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Biblioteca Digital de Teses e Dissertações da UFMA |
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Biblioteca Digital de Teses e Dissertações da UFMA - Universidade Federal do Maranhão (UFMA) |
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