CLINICAL-EPIDEMIOLOGICAL PROFILE AND SPATIAL AUTOCORRELATION OF COVID-19 CASES IN THE STATE OF MARANHÃO

Detalhes bibliográficos
Autor(a) principal: Silva, Janiel Conceição da
Data de Publicação: 2024
Outros Autores: Sousa, Giana Gislanne da Silva de, Oliveira, Rayanne Alves de, Santos, Lívia Fernanda Siqueira, Rolim, Isaura Letícia Tavares Palmeira, Pascoal, Lívia Maia, Bezerra, Janaina Miranda, Santos, Floriacy Stabnow, Costa, Ana Cristina Pereira de Jesus, Santos Neto, Marcelino
Tipo de documento: Artigo
Idioma: por
Título da fonte: Hygeia (Uberlândia)
Texto Completo: https://seer.ufu.br/index.php/hygeia/article/view/68639
Resumo: Objective: To describe the clinical-epidemiological characteristics and the spatial autocorrelation of COVID-19 in the state of Maranhão. Method: This is a descriptive and ecological study using the municipalities of the state as ecological units of analysis. All new cases of COVID-19, registered between March 2020 and January 2022 in the COVID-19 Notification System in Maranhão were considered for the study. The clinical-epidemiological variables were analyzed using descriptive statistics. Age-standardized incidence rates were determined by State municipalities and spatial autocorrelation was verified using global and local Moran indices. Results: A total of 386,567 cases were registered; the majority were female, mixed race/color, aged between 30 and 39 years, with laboratory diagnosis criteria, performed in a public laboratory, without comorbidity and that did not evolve to death. A positive spatial autocorrelation of the incidence rates in the first and second wave of the disease was observed, with statistically significant high-risk clusters being identified, mainly in the central-southern region of the State. Conclusion: Such findings can help health management, systems and services in the implementation of measures aimed at mitigating and controlling the disease, subsidizing the reduction of health disparities and social inequalities in the State of Maranhão.
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spelling CLINICAL-EPIDEMIOLOGICAL PROFILE AND SPATIAL AUTOCORRELATION OF COVID-19 CASES IN THE STATE OF MARANHÃOCARACTERIZAÇÃO CLÍNICO-EPIDEMIOLÓGICA E AUTOCORRELAÇÃO ESPACIAL DOS CASOS DE COVID-19 NO ESTADO DO MARANHÃOCOVID-19IncidênciaEpidemiologiaAnálise EspacialSistemas de Informação GeográficaCOVID-19IncidenceEpidemiologySpatial AnalysisGeographic Information SystemsObjective: To describe the clinical-epidemiological characteristics and the spatial autocorrelation of COVID-19 in the state of Maranhão. Method: This is a descriptive and ecological study using the municipalities of the state as ecological units of analysis. All new cases of COVID-19, registered between March 2020 and January 2022 in the COVID-19 Notification System in Maranhão were considered for the study. The clinical-epidemiological variables were analyzed using descriptive statistics. Age-standardized incidence rates were determined by State municipalities and spatial autocorrelation was verified using global and local Moran indices. Results: A total of 386,567 cases were registered; the majority were female, mixed race/color, aged between 30 and 39 years, with laboratory diagnosis criteria, performed in a public laboratory, without comorbidity and that did not evolve to death. A positive spatial autocorrelation of the incidence rates in the first and second wave of the disease was observed, with statistically significant high-risk clusters being identified, mainly in the central-southern region of the State. Conclusion: Such findings can help health management, systems and services in the implementation of measures aimed at mitigating and controlling the disease, subsidizing the reduction of health disparities and social inequalities in the State of Maranhão.Objetivo: Descrever as características clínico-epidemiológicas e a autocorrelação espacial da COVID-19 no estado do Maranhão. Método: Trata-se de um estudo descritivo e ecológico, tendo como unidades ecológicas de análise os municípios do estado. Foram considerados todos os casos novos de COVID-19, registrados entre março de 2020 e janeiro de 2022, junto ao Sistema de Notificação da COVID-19 do Maranhão. As variáveis clínico-epidemiológicas foram analisadas por meio da estatística descritiva. Determinaram-se as taxas de incidência padronizadas pela idade por municípios do estado e a autocorrelação espacial foi verificada por meio dos índices de Moran global e local. Resultados: Foram registrados 386.567 casos, dos quais a maioria era do sexo feminino, raça/cor parda, idade de 30 a 39 anos, com critério de diagnóstico laboratorial, realizado em laboratório público, sem comorbidade e que não evoluíram para óbito. Observou-se autocorrelação espacial positiva das taxas de incidência na primeira e segunda onda da doença, sendo identificados clusters de alto risco, estatisticamente significantes, principalmente na região centro-sul do estado. Conclusão: Tais achados podem auxiliar a gestão, os sistemas e os serviços de saúde na implementação de medidas direcionadas à mitigação e ao controle da doença, subsidiando a redução de disparidades de saúde e desigualdades sociais no estado do Maranhão.Universidade Federal de Uberlândia2024-01-22info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.ufu.br/index.php/hygeia/article/view/6863910.14393/Hygeia2068639Hygeia - Revista Brasileira de Geografia Médica e da Saúde; v. 20 (2024); e20031980-1726reponame:Hygeia (Uberlândia)instname:Universidade Federal de Uberlândia (UFU)instacron:UFUporhttps://seer.ufu.br/index.php/hygeia/article/view/68639/37771Copyright (c) 2024 Janiel Conceição da Silva, Giana Gislanne da Silva de Sousa, Rayanne Alves de Oliveira, Lívia Fernanda Siqueira Santos, Isaura Letícia Tavares Palmeira Rolim, Lívia Maia Pascoal, Janaina Miranda Bezerra, Floriacy Stabnow Santos, Ana Cristina Pereira de Jesus Costa, Marcelino Santos Netoinfo:eu-repo/semantics/openAccessSilva, Janiel Conceição daSousa, Giana Gislanne da Silva de Oliveira, Rayanne Alves deSantos, Lívia Fernanda SiqueiraRolim, Isaura Letícia Tavares PalmeiraPascoal, Lívia MaiaBezerra, Janaina MirandaSantos, Floriacy StabnowCosta, Ana Cristina Pereira de JesusSantos Neto, Marcelino2024-05-14T21:00:03Zoai:ojs.www.seer.ufu.br:article/68639Revistahttps://seer.ufu.br/index.php/hygeiaPUBhttps://seer.ufu.br/index.php/hygeia/oaisamuel@ufu.br||flavia.santos@ufu.br1980-17261980-1726opendoar:2024-05-14T21:00:03Hygeia (Uberlândia) - Universidade Federal de Uberlândia (UFU)false
dc.title.none.fl_str_mv CLINICAL-EPIDEMIOLOGICAL PROFILE AND SPATIAL AUTOCORRELATION OF COVID-19 CASES IN THE STATE OF MARANHÃO
CARACTERIZAÇÃO CLÍNICO-EPIDEMIOLÓGICA E AUTOCORRELAÇÃO ESPACIAL DOS CASOS DE COVID-19 NO ESTADO DO MARANHÃO
title CLINICAL-EPIDEMIOLOGICAL PROFILE AND SPATIAL AUTOCORRELATION OF COVID-19 CASES IN THE STATE OF MARANHÃO
spellingShingle CLINICAL-EPIDEMIOLOGICAL PROFILE AND SPATIAL AUTOCORRELATION OF COVID-19 CASES IN THE STATE OF MARANHÃO
Silva, Janiel Conceição da
COVID-19
Incidência
Epidemiologia
Análise Espacial
Sistemas de Informação Geográfica
COVID-19
Incidence
Epidemiology
Spatial Analysis
Geographic Information Systems
title_short CLINICAL-EPIDEMIOLOGICAL PROFILE AND SPATIAL AUTOCORRELATION OF COVID-19 CASES IN THE STATE OF MARANHÃO
title_full CLINICAL-EPIDEMIOLOGICAL PROFILE AND SPATIAL AUTOCORRELATION OF COVID-19 CASES IN THE STATE OF MARANHÃO
title_fullStr CLINICAL-EPIDEMIOLOGICAL PROFILE AND SPATIAL AUTOCORRELATION OF COVID-19 CASES IN THE STATE OF MARANHÃO
title_full_unstemmed CLINICAL-EPIDEMIOLOGICAL PROFILE AND SPATIAL AUTOCORRELATION OF COVID-19 CASES IN THE STATE OF MARANHÃO
title_sort CLINICAL-EPIDEMIOLOGICAL PROFILE AND SPATIAL AUTOCORRELATION OF COVID-19 CASES IN THE STATE OF MARANHÃO
author Silva, Janiel Conceição da
author_facet Silva, Janiel Conceição da
Sousa, Giana Gislanne da Silva de
Oliveira, Rayanne Alves de
Santos, Lívia Fernanda Siqueira
Rolim, Isaura Letícia Tavares Palmeira
Pascoal, Lívia Maia
Bezerra, Janaina Miranda
Santos, Floriacy Stabnow
Costa, Ana Cristina Pereira de Jesus
Santos Neto, Marcelino
author_role author
author2 Sousa, Giana Gislanne da Silva de
Oliveira, Rayanne Alves de
Santos, Lívia Fernanda Siqueira
Rolim, Isaura Letícia Tavares Palmeira
Pascoal, Lívia Maia
Bezerra, Janaina Miranda
Santos, Floriacy Stabnow
Costa, Ana Cristina Pereira de Jesus
Santos Neto, Marcelino
author2_role author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Silva, Janiel Conceição da
Sousa, Giana Gislanne da Silva de
Oliveira, Rayanne Alves de
Santos, Lívia Fernanda Siqueira
Rolim, Isaura Letícia Tavares Palmeira
Pascoal, Lívia Maia
Bezerra, Janaina Miranda
Santos, Floriacy Stabnow
Costa, Ana Cristina Pereira de Jesus
Santos Neto, Marcelino
dc.subject.por.fl_str_mv COVID-19
Incidência
Epidemiologia
Análise Espacial
Sistemas de Informação Geográfica
COVID-19
Incidence
Epidemiology
Spatial Analysis
Geographic Information Systems
topic COVID-19
Incidência
Epidemiologia
Análise Espacial
Sistemas de Informação Geográfica
COVID-19
Incidence
Epidemiology
Spatial Analysis
Geographic Information Systems
description Objective: To describe the clinical-epidemiological characteristics and the spatial autocorrelation of COVID-19 in the state of Maranhão. Method: This is a descriptive and ecological study using the municipalities of the state as ecological units of analysis. All new cases of COVID-19, registered between March 2020 and January 2022 in the COVID-19 Notification System in Maranhão were considered for the study. The clinical-epidemiological variables were analyzed using descriptive statistics. Age-standardized incidence rates were determined by State municipalities and spatial autocorrelation was verified using global and local Moran indices. Results: A total of 386,567 cases were registered; the majority were female, mixed race/color, aged between 30 and 39 years, with laboratory diagnosis criteria, performed in a public laboratory, without comorbidity and that did not evolve to death. A positive spatial autocorrelation of the incidence rates in the first and second wave of the disease was observed, with statistically significant high-risk clusters being identified, mainly in the central-southern region of the State. Conclusion: Such findings can help health management, systems and services in the implementation of measures aimed at mitigating and controlling the disease, subsidizing the reduction of health disparities and social inequalities in the State of Maranhão.
publishDate 2024
dc.date.none.fl_str_mv 2024-01-22
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://seer.ufu.br/index.php/hygeia/article/view/68639
10.14393/Hygeia2068639
url https://seer.ufu.br/index.php/hygeia/article/view/68639
identifier_str_mv 10.14393/Hygeia2068639
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://seer.ufu.br/index.php/hygeia/article/view/68639/37771
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 de Uberlândia
publisher.none.fl_str_mv Universidade Federal de Uberlândia
dc.source.none.fl_str_mv Hygeia - Revista Brasileira de Geografia Médica e da Saúde; v. 20 (2024); e2003
1980-1726
reponame:Hygeia (Uberlândia)
instname:Universidade Federal de Uberlândia (UFU)
instacron:UFU
instname_str Universidade Federal de Uberlândia (UFU)
instacron_str UFU
institution UFU
reponame_str Hygeia (Uberlândia)
collection Hygeia (Uberlândia)
repository.name.fl_str_mv Hygeia (Uberlândia) - Universidade Federal de Uberlândia (UFU)
repository.mail.fl_str_mv samuel@ufu.br||flavia.santos@ufu.br
_version_ 1799944281520078848

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