Statistical process control for monitoring COVID-19 cases in Santa Maria, Rio Grande do Sul
Autor(a) principal: | |
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Data de Publicação: | 2024 |
Outros Autores: | , , , |
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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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 |
_version_ |
1799943998385684480 |