Epidemiological profile of COVID-19 cases in Salvador, Bahia, Brazil
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Revista Baiana de Saúde Pública (Online) |
DOI: | 10.22278/2318-2660.2021.v45.n1.a3235 |
Texto Completo: | https://rbsp.sesab.ba.gov.br/index.php/rbsp/article/view/3235 |
Resumo: | Responsible for thousands of deaths worldwide, the COVID-19 pandemic remains a concern for health authorities due to its high infectivity and transmissibility, thus constituting a global public health emergency. This study sought to describe the epidemiological profile of COVID-19 cases in the municipality of Salvador, Bahia, Brazil in the first four months of the pandemic. Using a quantitative approach, this epidemiological, retrospective, descriptive study analyzed secondary data from COVID-19 notifications recorded between March and June 2020 in the respective city. The period analyzed was March to June 2020. Results show 34,692 confirmed cases, with high prevalence of adults (77.3%) aged 20 to 49 years old, women (53.7%), and a small number of cases in children and adolescents (4.4%). The Barra/Rio Vermelho sanitary district, region with the best socioeconomic indicators, had the highest number of reported cases. Heart disease (10.4%) and diabetes mellitus (7.8%) were the most reported past pathologies among the infected. In conclusion, the city of Salvador showed a propensity to increase the number of cases and, consequently, was prone to the worsening of the disease, which imposes the need to develop public strategies to reduce the spread of the SARS-CoV-2 virus. |
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Epidemiological profile of COVID-19 cases in Salvador, Bahia, BrazilPerfil epidemiológico de casos del COVID-19 en Salvador, Bahía, BrasilPerfil epidemiológico dos casos de covid-19 em Salvador, Bahia, BrasilCOVID-19CoronavírusDados DemográficosAnálise EspacialEpidemiologiaCOVID-19CoronavírusPandemiaCovid-19CoronavirusDatos demográficosAnálisis espacialEpidemiologíaCOVID-19CoronavirusDemographic dataSpatial analysisEpidemiologyResponsible for thousands of deaths worldwide, the COVID-19 pandemic remains a concern for health authorities due to its high infectivity and transmissibility, thus constituting a global public health emergency. This study sought to describe the epidemiological profile of COVID-19 cases in the municipality of Salvador, Bahia, Brazil in the first four months of the pandemic. Using a quantitative approach, this epidemiological, retrospective, descriptive study analyzed secondary data from COVID-19 notifications recorded between March and June 2020 in the respective city. The period analyzed was March to June 2020. Results show 34,692 confirmed cases, with high prevalence of adults (77.3%) aged 20 to 49 years old, women (53.7%), and a small number of cases in children and adolescents (4.4%). The Barra/Rio Vermelho sanitary district, region with the best socioeconomic indicators, had the highest number of reported cases. Heart disease (10.4%) and diabetes mellitus (7.8%) were the most reported past pathologies among the infected. In conclusion, the city of Salvador showed a propensity to increase the number of cases and, consequently, was prone to the worsening of the disease, which imposes the need to develop public strategies to reduce the spread of the SARS-CoV-2 virus.El COVID-19 ya ha causado numerosas muertes en todo el mundo y todavía preocupa a las autoridades sanitarias por su alta infectividad y transmisibilidad. Es, por tanto, una emergencia de salud pública mundial. El objetivo de este artículo es describir el perfil epidemiológico de los casos del COVID-19 en el municipio de Salvador, Bahía (Brasil), en los primeros cuatro meses del inicio de la pandemia. Se trata de un estudio epidemiológico, de abordaje descriptivo, retrospectivo. A partir de un enfoque cuantitativo, se analizaron datos secundarios reportados del COVID-19 en la ciudad de Salvador. El período analizado fue de marzo a junio de 2020. Se confirmaron 34.692 casos de la enfermedad, con mayor número de registros en adultos con edades entre 20 y 49 años (77,3%), y mujeres (53,7%). Se observó un menor número de casos entre niños y adolescentes (4,4%). El distrito de salud de Barra / Rio Vermelho, a pesar de tener los mejores indicadores socioeconómicos de la ciudad, tuvo el mayor número de casos reportados. Las enfermedades cardíacas (10,4%) y la diabetes mellitus (7,8%) fueron las patologías precedentes más notificadas entre los infectados. Se concluye que la ciudad de Salvador se presentó como una región con fuerte tendencia al aumento de casos y, en consecuencia, a la severidad de la enfermedad, lo que muestra la necesidad de implementar estrategias públicas para reducir la propagación del virus SARS-CoV-2.A covid-19 já causou milhares de mortes pelo mundo e ainda preocupa as autoridades sanitárias devido a sua alta infectividade e transmissibilidade. Trata-se, portanto, de uma emergência de saúde pública mundial. O objetivo deste artigo é descrever o perfil epidemiológico de casos de covid-19 no município de Salvador, Bahia, Brasil, nos primeiros quatros meses de pandemia. Trata-se de um estudo epidemiológico, retrospectivo, descritivo. A partir de uma abordagem quantitativa, foram analisados os dados secundários das notificações de covid-19 no município mencionado. O período analisado foi o de março a junho de 2020. Foram confirmados 34.692 casos da doença, com maior número de registros em adultos com idades entre 20 e 49 anos (77,3%), do sexo feminino (53,7%). Por outro lado, o número de casos em crianças e adolescentes foi menor (4,4%). O distrito sanitário Barra/Rio Vermelho, região com os melhores indicadores socioeconômicos da cidade, apresentou o maior número de casos notificados. As doenças cardíacas (10,4%) e o diabetes mellitus (7,8%) foram as patologias pregressas mais relatadas entre as pessoas infectadas. Conclui-se que a cidade de Salvador (BA) se apresentou como uma região com forte tendência de aumento dos casos e, consequentemente, propensa ao agravamento da doença, o que impõe a necessidade de elaboração de estratégias públicas para a diminuição de propagação do vírus SARS-CoV-2.SESAB2022-05-18info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rbsp.sesab.ba.gov.br/index.php/rbsp/article/view/323510.22278/2318-2660.2021.v45.n1.a3235Revista Baiana de Saúde Pública; v. 45 n. 1 (2021); 76-892318-26600100-023310.22278/2318-2660.2021.v45.N1reponame:Revista Baiana de Saúde Pública (Online)instname:Secretaria da Saúde do Estado da Bahia (Sesab)instacron:IBICTporhttps://rbsp.sesab.ba.gov.br/index.php/rbsp/article/view/3235/2931Copyright (c) 2021 Revista Baiana de Saúde Públicainfo:eu-repo/semantics/openAccessMacedo, Tássia Teles Santana deSilva, Luiza Santana MonteiroFigueredo, Wilton NascimentoCardoso, Gustavo Marques PortoSilva, Rodrigo Marques daPimenta, Rodolfo Macedo Cruz2023-02-13T17:01:45Zoai:ojs.pkp.sfu.ca:article/3235Revistahttps://rbsp.sesab.ba.gov.br/index.php/rbspPUBhttps://rbsp.sesab.ba.gov.br/index.php/rbsp/oai||saude.revista@saude.ba.gov.br|| rbsp.saude@saude.ba.gov.br2318-26600100-0233opendoar:2024-03-06T12:58:11.097820Revista Baiana de Saúde Pública (Online) - Secretaria da Saúde do Estado da Bahia (Sesab)false |
dc.title.none.fl_str_mv |
Epidemiological profile of COVID-19 cases in Salvador, Bahia, Brazil Perfil epidemiológico de casos del COVID-19 en Salvador, Bahía, Brasil Perfil epidemiológico dos casos de covid-19 em Salvador, Bahia, Brasil |
title |
Epidemiological profile of COVID-19 cases in Salvador, Bahia, Brazil |
spellingShingle |
Epidemiological profile of COVID-19 cases in Salvador, Bahia, Brazil Epidemiological profile of COVID-19 cases in Salvador, Bahia, Brazil Macedo, Tássia Teles Santana de COVID-19 Coronavírus Dados Demográficos Análise Espacial Epidemiologia COVID-19 Coronavírus Pandemia Covid-19 Coronavirus Datos demográficos Análisis espacial Epidemiología COVID-19 Coronavirus Demographic data Spatial analysis Epidemiology Macedo, Tássia Teles Santana de COVID-19 Coronavírus Dados Demográficos Análise Espacial Epidemiologia COVID-19 Coronavírus Pandemia Covid-19 Coronavirus Datos demográficos Análisis espacial Epidemiología COVID-19 Coronavirus Demographic data Spatial analysis Epidemiology |
title_short |
Epidemiological profile of COVID-19 cases in Salvador, Bahia, Brazil |
title_full |
Epidemiological profile of COVID-19 cases in Salvador, Bahia, Brazil |
title_fullStr |
Epidemiological profile of COVID-19 cases in Salvador, Bahia, Brazil Epidemiological profile of COVID-19 cases in Salvador, Bahia, Brazil |
title_full_unstemmed |
Epidemiological profile of COVID-19 cases in Salvador, Bahia, Brazil Epidemiological profile of COVID-19 cases in Salvador, Bahia, Brazil |
title_sort |
Epidemiological profile of COVID-19 cases in Salvador, Bahia, Brazil |
author |
Macedo, Tássia Teles Santana de |
author_facet |
Macedo, Tássia Teles Santana de Macedo, Tássia Teles Santana de Silva, Luiza Santana Monteiro Figueredo, Wilton Nascimento Cardoso, Gustavo Marques Porto Silva, Rodrigo Marques da Pimenta, Rodolfo Macedo Cruz Silva, Luiza Santana Monteiro Figueredo, Wilton Nascimento Cardoso, Gustavo Marques Porto Silva, Rodrigo Marques da Pimenta, Rodolfo Macedo Cruz |
author_role |
author |
author2 |
Silva, Luiza Santana Monteiro Figueredo, Wilton Nascimento Cardoso, Gustavo Marques Porto Silva, Rodrigo Marques da Pimenta, Rodolfo Macedo Cruz |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Macedo, Tássia Teles Santana de Silva, Luiza Santana Monteiro Figueredo, Wilton Nascimento Cardoso, Gustavo Marques Porto Silva, Rodrigo Marques da Pimenta, Rodolfo Macedo Cruz |
dc.subject.por.fl_str_mv |
COVID-19 Coronavírus Dados Demográficos Análise Espacial Epidemiologia COVID-19 Coronavírus Pandemia Covid-19 Coronavirus Datos demográficos Análisis espacial Epidemiología COVID-19 Coronavirus Demographic data Spatial analysis Epidemiology |
topic |
COVID-19 Coronavírus Dados Demográficos Análise Espacial Epidemiologia COVID-19 Coronavírus Pandemia Covid-19 Coronavirus Datos demográficos Análisis espacial Epidemiología COVID-19 Coronavirus Demographic data Spatial analysis Epidemiology |
description |
Responsible for thousands of deaths worldwide, the COVID-19 pandemic remains a concern for health authorities due to its high infectivity and transmissibility, thus constituting a global public health emergency. This study sought to describe the epidemiological profile of COVID-19 cases in the municipality of Salvador, Bahia, Brazil in the first four months of the pandemic. Using a quantitative approach, this epidemiological, retrospective, descriptive study analyzed secondary data from COVID-19 notifications recorded between March and June 2020 in the respective city. The period analyzed was March to June 2020. Results show 34,692 confirmed cases, with high prevalence of adults (77.3%) aged 20 to 49 years old, women (53.7%), and a small number of cases in children and adolescents (4.4%). The Barra/Rio Vermelho sanitary district, region with the best socioeconomic indicators, had the highest number of reported cases. Heart disease (10.4%) and diabetes mellitus (7.8%) were the most reported past pathologies among the infected. In conclusion, the city of Salvador showed a propensity to increase the number of cases and, consequently, was prone to the worsening of the disease, which imposes the need to develop public strategies to reduce the spread of the SARS-CoV-2 virus. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-05-18 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
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article |
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publishedVersion |
dc.identifier.uri.fl_str_mv |
https://rbsp.sesab.ba.gov.br/index.php/rbsp/article/view/3235 10.22278/2318-2660.2021.v45.n1.a3235 |
url |
https://rbsp.sesab.ba.gov.br/index.php/rbsp/article/view/3235 |
identifier_str_mv |
10.22278/2318-2660.2021.v45.n1.a3235 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://rbsp.sesab.ba.gov.br/index.php/rbsp/article/view/3235/2931 |
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Copyright (c) 2021 Revista Baiana de Saúde Pública info:eu-repo/semantics/openAccess |
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Copyright (c) 2021 Revista Baiana de Saúde Pública |
eu_rights_str_mv |
openAccess |
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application/pdf |
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SESAB |
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SESAB |
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Revista Baiana de Saúde Pública; v. 45 n. 1 (2021); 76-89 2318-2660 0100-0233 10.22278/2318-2660.2021.v45.N1 reponame:Revista Baiana de Saúde Pública (Online) instname:Secretaria da Saúde do Estado da Bahia (Sesab) instacron:IBICT |
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Secretaria da Saúde do Estado da Bahia (Sesab) |
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IBICT |
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Revista Baiana de Saúde Pública (Online) |
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Revista Baiana de Saúde Pública (Online) |
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Revista Baiana de Saúde Pública (Online) - Secretaria da Saúde do Estado da Bahia (Sesab) |
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10.22278/2318-2660.2021.v45.n1.a3235 |