Statistical process control for monitoring COVID-19 cases in Santa Maria, Rio Grande do Sul

Detalhes bibliográficos
Autor(a) principal: Giuliani, Caroline dos Santos
Data de Publicação: 2024
Outros Autores: Dezordi, Bruna, Lewiski, Daniel de Vargas, Boemo, Marinela da Silveira, Jacobi, Luciane Flores
Tipo de documento: Artigo
Idioma: por
Título da fonte: Saúde (Santa Maria)
Texto Completo: https://periodicos.ufsm.br/revistasaude/article/view/70107
Resumo: Objective: The present study aimed to analyze the number of cases of COVID-19 in the city of Santa Maria / RS, from March to December 2020. Methods: The information was obtained from the database of the State Health Secretariat of Rio Grande do Sul (SES/RS). The Weighted Moving Average Control Chart was used to verify the process of variation in the number of cases of COVID-19, making it possible to detect the most critical periods of the pandemic during the evaluated period. Results: It was found that, of the total number of infected, the majority were female and were in the age group between 20 and 59 years. Most of the cases were confirmed using the RT-PCR test. The age group with the highest number of cases was 30 to 39 years and children and the elderly were the least affected by the virus. The number of COVID 19 cases increased significantly after the month of June and decreased in the month of July and August, resuming a sharp growth trend in September. Final considerations: Due to the abrupt variations contrary to the trend of improvement in the epidemiological panorama of the municipality, the importance of improving containment strategies is noted, aiming at controlling the pandemic and reducing the number of cases. Therefore, it is concluded that the protection measures for the prevention of the virus must be maintained at a rigid and constant level for an indefinite period.
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spelling Statistical process control for monitoring COVID-19 cases in Santa Maria, Rio Grande do SulControle estatístico de processo para monitoramento de casos de COVID-19 em Santa Maria, Rio Grande do SulExponentially Weighted Moving AveragePandemicCoronavirusMédia Móvel Exponencialmente PonderadaPandemiaCoronavírusObjective: The present study aimed to analyze the number of cases of COVID-19 in the city of Santa Maria / RS, from March to December 2020. Methods: The information was obtained from the database of the State Health Secretariat of Rio Grande do Sul (SES/RS). The Weighted Moving Average Control Chart was used to verify the process of variation in the number of cases of COVID-19, making it possible to detect the most critical periods of the pandemic during the evaluated period. Results: It was found that, of the total number of infected, the majority were female and were in the age group between 20 and 59 years. Most of the cases were confirmed using the RT-PCR test. The age group with the highest number of cases was 30 to 39 years and children and the elderly were the least affected by the virus. The number of COVID 19 cases increased significantly after the month of June and decreased in the month of July and August, resuming a sharp growth trend in September. Final considerations: Due to the abrupt variations contrary to the trend of improvement in the epidemiological panorama of the municipality, the importance of improving containment strategies is noted, aiming at controlling the pandemic and reducing the number of cases. Therefore, it is concluded that the protection measures for the prevention of the virus must be maintained at a rigid and constant level for an indefinite period.Objetivo: analisar o número de casos de COVID-19 no município de Santa Maria/RS, nos meses de março a dezembro de 2020. Método: As informações foram obtidas do banco de dados da Secretaria Estadual de Saúde do Rio Grande do Sul (SES/RS). Utilizou-se o Gráfico de controle da média móvel ponderada para verificar o processo de variação no número de casos de COVID-19, possibilitando detectar os períodos mais críticos da pandemia durante o período avaliado. Resultados: Verificou-se que, do número total de infectados, a maioria era do sexo feminino e estava na faixa etária entre 20 e 59 anos. Grande parte dos casos foram confirmados através do teste RT-PCR. A faixa etária com maior número de casos foi de 30 a 39 anos e as crianças e idosos foram os menos acometidos pelo vírus. O número de casos de COVID-19 apresentou um aumento expressivo após o mês de junho e queda no mês de julho e agosto, retomando uma tendência acentuada de crescimento em setembro. Considerações finais: Devido às variações abruptas contrárias à tendência de melhora no panorama epidemiológico do município, constata-se a importância do aprimoramento das estratégias de contenção, visando o controle da pandemia e diminuição do número de casos. Diante disso, conclui-se que as medidas de proteção para a prevenção do vírus devem ser mantidas num patamar rígido e constante por período indeterminado.Universidade Federal de Santa Maria2024-02-26info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufsm.br/revistasaude/article/view/7010710.5902/2236583470107Saúde (Santa Maria); Vol. 49 No. 2 (2023): Revista Saúde (Santa Maria) Ano 2023; e70107Saúde (Santa Maria); v. 49 n. 2 (2023): Revista Saúde (Santa Maria) Ano 2023; e701072236-58340103-4499reponame:Saúde (Santa Maria)instname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMporhttps://periodicos.ufsm.br/revistasaude/article/view/70107/63278Copyright (c) 2024 Caroline dos Santos Giuliani, Bruna Dezordi, Daniel de Vargas Lewiski, Marinela da Silveira Boemo, Luciane Flores Jacobihttps://creativecommons.org/licenses/by-nc-nd/4.0info:eu-repo/semantics/openAccessGiuliani, Caroline dos SantosDezordi, BrunaLewiski, Daniel de VargasBoemo, Marinela da SilveiraJacobi, Luciane Flores2024-02-26T23:03:56Zoai:ojs.pkp.sfu.ca:article/70107Revistahttps://periodicos.ufsm.br/revistasaudePUBhttps://periodicos.ufsm.br/revistasaude/oairevistasaude.ufsm@gmail.com || amanda.revsaude@gmail.com || beatriz.revsaude@gmail.com2236-58342236-5834opendoar:2024-02-26T23:03:56Saúde (Santa Maria) - Universidade Federal de Santa Maria (UFSM)false
dc.title.none.fl_str_mv Statistical process control for monitoring COVID-19 cases in Santa Maria, Rio Grande do Sul
Controle estatístico de processo para monitoramento de casos de COVID-19 em Santa Maria, Rio Grande do Sul
title Statistical process control for monitoring COVID-19 cases in Santa Maria, Rio Grande do Sul
spellingShingle Statistical process control for monitoring COVID-19 cases in Santa Maria, Rio Grande do Sul
Giuliani, Caroline dos Santos
Exponentially Weighted Moving Average
Pandemic
Coronavirus
Média Móvel Exponencialmente Ponderada
Pandemia
Coronavírus
title_short Statistical process control for monitoring COVID-19 cases in Santa Maria, Rio Grande do Sul
title_full Statistical process control for monitoring COVID-19 cases in Santa Maria, Rio Grande do Sul
title_fullStr Statistical process control for monitoring COVID-19 cases in Santa Maria, Rio Grande do Sul
title_full_unstemmed Statistical process control for monitoring COVID-19 cases in Santa Maria, Rio Grande do Sul
title_sort Statistical process control for monitoring COVID-19 cases in Santa Maria, Rio Grande do Sul
author Giuliani, Caroline dos Santos
author_facet Giuliani, Caroline dos Santos
Dezordi, Bruna
Lewiski, Daniel de Vargas
Boemo, Marinela da Silveira
Jacobi, Luciane Flores
author_role author
author2 Dezordi, Bruna
Lewiski, Daniel de Vargas
Boemo, Marinela da Silveira
Jacobi, Luciane Flores
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Giuliani, Caroline dos Santos
Dezordi, Bruna
Lewiski, Daniel de Vargas
Boemo, Marinela da Silveira
Jacobi, Luciane Flores
dc.subject.por.fl_str_mv Exponentially Weighted Moving Average
Pandemic
Coronavirus
Média Móvel Exponencialmente Ponderada
Pandemia
Coronavírus
topic Exponentially Weighted Moving Average
Pandemic
Coronavirus
Média Móvel Exponencialmente Ponderada
Pandemia
Coronavírus
description Objective: The present study aimed to analyze the number of cases of COVID-19 in the city of Santa Maria / RS, from March to December 2020. Methods: The information was obtained from the database of the State Health Secretariat of Rio Grande do Sul (SES/RS). The Weighted Moving Average Control Chart was used to verify the process of variation in the number of cases of COVID-19, making it possible to detect the most critical periods of the pandemic during the evaluated period. Results: It was found that, of the total number of infected, the majority were female and were in the age group between 20 and 59 years. Most of the cases were confirmed using the RT-PCR test. The age group with the highest number of cases was 30 to 39 years and children and the elderly were the least affected by the virus. The number of COVID 19 cases increased significantly after the month of June and decreased in the month of July and August, resuming a sharp growth trend in September. Final considerations: Due to the abrupt variations contrary to the trend of improvement in the epidemiological panorama of the municipality, the importance of improving containment strategies is noted, aiming at controlling the pandemic and reducing the number of cases. Therefore, it is concluded that the protection measures for the prevention of the virus must be maintained at a rigid and constant level for an indefinite period.
publishDate 2024
dc.date.none.fl_str_mv 2024-02-26
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://periodicos.ufsm.br/revistasaude/article/view/70107
10.5902/2236583470107
url https://periodicos.ufsm.br/revistasaude/article/view/70107
identifier_str_mv 10.5902/2236583470107
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://periodicos.ufsm.br/revistasaude/article/view/70107/63278
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by-nc-nd/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Santa Maria
publisher.none.fl_str_mv Universidade Federal de Santa Maria
dc.source.none.fl_str_mv Saúde (Santa Maria); Vol. 49 No. 2 (2023): Revista Saúde (Santa Maria) Ano 2023; e70107
Saúde (Santa Maria); v. 49 n. 2 (2023): Revista Saúde (Santa Maria) Ano 2023; e70107
2236-5834
0103-4499
reponame:Saúde (Santa Maria)
instname:Universidade Federal de Santa Maria (UFSM)
instacron:UFSM
instname_str Universidade Federal de Santa Maria (UFSM)
instacron_str UFSM
institution UFSM
reponame_str Saúde (Santa Maria)
collection Saúde (Santa Maria)
repository.name.fl_str_mv Saúde (Santa Maria) - Universidade Federal de Santa Maria (UFSM)
repository.mail.fl_str_mv revistasaude.ufsm@gmail.com || amanda.revsaude@gmail.com || beatriz.revsaude@gmail.com
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