Análise da distribuição espacial de beribéri e de síndrome respiratória aguda grave por covid-19

Detalhes bibliográficos
Ano de defesa: 2023
Autor(a) principal: MAXIMINO, Flávio Donalwan Sá lattes
Orientador(a): CASTELO BRANCO, Maria dos Remédios Freitas lattes
Banca de defesa: CASTELO BRANCO, Maria dos Remédios Freitas lattes, MEDEIROS, Maria Nilza Lima lattes, FROTA, Maria Tereza Borges Araújo lattes, FRANÇA, Ana Karina Teixeira Da Cunha lattes, SOUZA, Bruno Feres de lattes
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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spelling 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 https://tedebc.ufma.br/jspui/handle/tede/tede/4727
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