Analysis of the epidemiological profile COVID-19 cases in Salvador-BA, between 2020-2022
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Research, Society and Development |
Texto Completo: | https://rsdjournal.org/index.php/rsd/article/view/32391 |
Resumo: | COVID-19 (Novel Coronavirus) is a viral infectious disease transmitted by the SARS-CoV-2 agent, which in March 2020 reached the status of a global pandemic. Despite being related to a series of systemic disorders, especially respiratory and renal, the development of vaccines allowed COVID-19 to have a decrease in its number of cases, especially serious conditions and deaths. Therefore, the objective of this study was to analyze the relationship between confirmed cases of COVID-19 and variables related to sex, race and age, in individuals affected in the city of Salvador-BA. For this, a search was carried out for updated data referring to the indicators of such a disease in the described municipality, at the electronic address of the Municipal Secretary. Among the results presented, from the total of 267,936 confirmed notifications, there was a higher prevalence in female individuals (55%), of mixed race (39%), aged between 30-39 years, and 40-49 years, both with (23%). Through this study, a presentation can be made to the scientific community about the epidemiological profile of those affected by COVID-19 in the city of Salvador, Bahia. In this way, the results presented by this study can be taken into account by public agencies, when making decisions regarding municipal public health. |
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Analysis of the epidemiological profile COVID-19 cases in Salvador-BA, between 2020-2022Análisis del perfil epidemiológico de los casos de COVID-19 en Salvador-BA, entre 2020-2022Análise do perfil epidemiológico dos casos de COVID-19 em Salvador-BA, entre 2020-2022CoronavirusEpidemiologiaAtenção à SaúdeServiços de SaúdeMedicina.CoronavirusEpidemiologíaAtención a la SaludServicios de SaludMedicina.CoronavirusEpidemiologyDelivery of Health CareHealth SciencesMedicine.COVID-19 (Novel Coronavirus) is a viral infectious disease transmitted by the SARS-CoV-2 agent, which in March 2020 reached the status of a global pandemic. Despite being related to a series of systemic disorders, especially respiratory and renal, the development of vaccines allowed COVID-19 to have a decrease in its number of cases, especially serious conditions and deaths. Therefore, the objective of this study was to analyze the relationship between confirmed cases of COVID-19 and variables related to sex, race and age, in individuals affected in the city of Salvador-BA. For this, a search was carried out for updated data referring to the indicators of such a disease in the described municipality, at the electronic address of the Municipal Secretary. Among the results presented, from the total of 267,936 confirmed notifications, there was a higher prevalence in female individuals (55%), of mixed race (39%), aged between 30-39 years, and 40-49 years, both with (23%). Through this study, a presentation can be made to the scientific community about the epidemiological profile of those affected by COVID-19 in the city of Salvador, Bahia. In this way, the results presented by this study can be taken into account by public agencies, when making decisions regarding municipal public health.El COVID-19 (Nuevo Coronavirus) es una enfermedad infecciosa viral transmitida por el agente SARS-CoV-2, que en marzo de 2020 alcanzó el estatus de pandemia mundial. A pesar de estar relacionado con una serie de trastornos sistémicos, especialmente respiratorios y renales, el desarrollo de vacunas permitió que el COVID-19 tuviera disminución en su número de casos, especialmente de cuadros graves y defunciones. Por lo tanto, el objetivo de este estudio fue analizar la relación entre los casos confirmados de COVID-19 y variables relacionadas con el sexo, la raza y la edad, en individuos afectados en la ciudad de Salvador-BA. Para eso, se realizó una investigación de datos actualizados referentes a los indicadores de dicha enfermedad en el municipio descrito, en la dirección electrónica de la Secretaría Municipal de la localidad. Entre los resultados presentados, del total de 267.936 notificaciones confirmadas, hubo mayor prevalencia en individuos del sexo femenino (55%), mestizos (39%), con edades entre 30-39 años y 40-49 años, ambos con (23%). A través de este estudio, se puede hacer una presentación a la comunidad científica sobre el perfil epidemiológico de los afectados por COVID-19 en la ciudad de Salvador, Bahía. De esta forma, los resultados presentados por este estudio podrán ser tomados en cuenta por los organismos públicos, a la hora de tomar decisiones en materia de salud pública municipal.A COVID-19 (Novo Coronavírus) constitui-se como uma enfermidade infectocontagiosa viral transmitida pelo agente SARS-CoV-2, que em março de 2020 alcançou o status de pandemia global. Apesar de estar relacionada a uma série de acometimentos sistêmicos, especialmente respiratórios e renais, o desenvolvimento de vacinas permitiu que a COVID-19 tivesse uma diminuição em seu número de casos, sobretudo condições graves e óbitos. Portanto, o objetivo deste estudo foi analisar a relação entre os casos confirmados da COVID-19 e as variáveis referentes a sexo, raça e faixa etária, em indivíduos acometidos na cidade de Salvador-BA. Para isso, foi realizada uma pesquisa por dados atualizados referentes aos indicadores no município descrito, no endereço eletrônico da Secretaria Municipal. Dentre os resultados apresentados, do total de 267.936 notificações confirmadas, observou-se maior prevalência em indivíduos do sexo feminino (55%), de raça parda (39%), com idade entre 30-39 anos, e 40-49 anos, ambos com (23%). Através deste estudo, pode-se estabelecer uma apresentação à comunidade científica acerca do perfil epidemiológico da COVID-19 no município de Salvador, Bahia. Dessa forma, os resultados apresentados por este estudo podem ser levados em consideração pelos órgãos públicos, durante a tomada de decisões relativas à saúde pública municipal.Research, Society and Development2022-07-18info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/3239110.33448/rsd-v11i9.32391Research, Society and Development; Vol. 11 No. 9; e54111932391Research, Society and Development; Vol. 11 Núm. 9; e54111932391Research, Society and Development; v. 11 n. 9; e541119323912525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/32391/27407Copyright (c) 2022 Fernando Antônio Ramos Schramm Neto; Carolina Dourado de Faria; Leonardo de Almeida Leão; Lucca Martins Barretto; Tiago Cabeceiras Cavalcante; Myrna Pereira da Silva; Jéssika Pereira Marques Diniz; Giovanna Fontes Caetano da Silva; Mariane Dias Oliveira; Adriano Abbehusen Alves Britohttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessSchramm Neto, Fernando Antônio RamosFaria, Carolina Dourado deLeão, Leonardo de Almeida Barretto, Lucca MartinsCavalcante, Tiago CabeceirasSilva, Myrna Pereira daDiniz, Jéssika Pereira MarquesSilva, Giovanna Fontes Caetano daOliveira, Mariane DiasBrito, Adriano Abbehusen Alves2022-07-21T12:36:16Zoai:ojs.pkp.sfu.ca:article/32391Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:48:25.043482Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false |
dc.title.none.fl_str_mv |
Analysis of the epidemiological profile COVID-19 cases in Salvador-BA, between 2020-2022 Análisis del perfil epidemiológico de los casos de COVID-19 en Salvador-BA, entre 2020-2022 Análise do perfil epidemiológico dos casos de COVID-19 em Salvador-BA, entre 2020-2022 |
title |
Analysis of the epidemiological profile COVID-19 cases in Salvador-BA, between 2020-2022 |
spellingShingle |
Analysis of the epidemiological profile COVID-19 cases in Salvador-BA, between 2020-2022 Schramm Neto, Fernando Antônio Ramos Coronavirus Epidemiologia Atenção à Saúde Serviços de Saúde Medicina. Coronavirus Epidemiología Atención a la Salud Servicios de Salud Medicina. Coronavirus Epidemiology Delivery of Health Care Health Sciences Medicine. |
title_short |
Analysis of the epidemiological profile COVID-19 cases in Salvador-BA, between 2020-2022 |
title_full |
Analysis of the epidemiological profile COVID-19 cases in Salvador-BA, between 2020-2022 |
title_fullStr |
Analysis of the epidemiological profile COVID-19 cases in Salvador-BA, between 2020-2022 |
title_full_unstemmed |
Analysis of the epidemiological profile COVID-19 cases in Salvador-BA, between 2020-2022 |
title_sort |
Analysis of the epidemiological profile COVID-19 cases in Salvador-BA, between 2020-2022 |
author |
Schramm Neto, Fernando Antônio Ramos |
author_facet |
Schramm Neto, Fernando Antônio Ramos Faria, Carolina Dourado de Leão, Leonardo de Almeida Barretto, Lucca Martins Cavalcante, Tiago Cabeceiras Silva, Myrna Pereira da Diniz, Jéssika Pereira Marques Silva, Giovanna Fontes Caetano da Oliveira, Mariane Dias Brito, Adriano Abbehusen Alves |
author_role |
author |
author2 |
Faria, Carolina Dourado de Leão, Leonardo de Almeida Barretto, Lucca Martins Cavalcante, Tiago Cabeceiras Silva, Myrna Pereira da Diniz, Jéssika Pereira Marques Silva, Giovanna Fontes Caetano da Oliveira, Mariane Dias Brito, Adriano Abbehusen Alves |
author2_role |
author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Schramm Neto, Fernando Antônio Ramos Faria, Carolina Dourado de Leão, Leonardo de Almeida Barretto, Lucca Martins Cavalcante, Tiago Cabeceiras Silva, Myrna Pereira da Diniz, Jéssika Pereira Marques Silva, Giovanna Fontes Caetano da Oliveira, Mariane Dias Brito, Adriano Abbehusen Alves |
dc.subject.por.fl_str_mv |
Coronavirus Epidemiologia Atenção à Saúde Serviços de Saúde Medicina. Coronavirus Epidemiología Atención a la Salud Servicios de Salud Medicina. Coronavirus Epidemiology Delivery of Health Care Health Sciences Medicine. |
topic |
Coronavirus Epidemiologia Atenção à Saúde Serviços de Saúde Medicina. Coronavirus Epidemiología Atención a la Salud Servicios de Salud Medicina. Coronavirus Epidemiology Delivery of Health Care Health Sciences Medicine. |
description |
COVID-19 (Novel Coronavirus) is a viral infectious disease transmitted by the SARS-CoV-2 agent, which in March 2020 reached the status of a global pandemic. Despite being related to a series of systemic disorders, especially respiratory and renal, the development of vaccines allowed COVID-19 to have a decrease in its number of cases, especially serious conditions and deaths. Therefore, the objective of this study was to analyze the relationship between confirmed cases of COVID-19 and variables related to sex, race and age, in individuals affected in the city of Salvador-BA. For this, a search was carried out for updated data referring to the indicators of such a disease in the described municipality, at the electronic address of the Municipal Secretary. Among the results presented, from the total of 267,936 confirmed notifications, there was a higher prevalence in female individuals (55%), of mixed race (39%), aged between 30-39 years, and 40-49 years, both with (23%). Through this study, a presentation can be made to the scientific community about the epidemiological profile of those affected by COVID-19 in the city of Salvador, Bahia. In this way, the results presented by this study can be taken into account by public agencies, when making decisions regarding municipal public health. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-07-18 |
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://rsdjournal.org/index.php/rsd/article/view/32391 10.33448/rsd-v11i9.32391 |
url |
https://rsdjournal.org/index.php/rsd/article/view/32391 |
identifier_str_mv |
10.33448/rsd-v11i9.32391 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/32391/27407 |
dc.rights.driver.fl_str_mv |
https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Research, Society and Development |
publisher.none.fl_str_mv |
Research, Society and Development |
dc.source.none.fl_str_mv |
Research, Society and Development; Vol. 11 No. 9; e54111932391 Research, Society and Development; Vol. 11 Núm. 9; e54111932391 Research, Society and Development; v. 11 n. 9; e54111932391 2525-3409 reponame:Research, Society and Development instname:Universidade Federal de Itajubá (UNIFEI) instacron:UNIFEI |
instname_str |
Universidade Federal de Itajubá (UNIFEI) |
instacron_str |
UNIFEI |
institution |
UNIFEI |
reponame_str |
Research, Society and Development |
collection |
Research, Society and Development |
repository.name.fl_str_mv |
Research, Society and Development - Universidade Federal de Itajubá (UNIFEI) |
repository.mail.fl_str_mv |
rsd.articles@gmail.com |
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1797052792743919616 |