Temporal trend of dengue cases in Brazil and its regions from 2001 to 2020
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/31403 |
Resumo: | Objective: To estimate the temporal trend of dengue cases in Brazil and its regions from 2001 to 2020. Methodology: This is an ecological time series study on dengue cases in Brazil and regions from 2001 to 2020. The data came from of the Notifiable Diseases Information System (SINAN), stratified according to age group, year and location. Standardized incidence rates (SPT) were calculated and used for trend analysis, performed using the Joinpoint model. Results: Brazil over the time series presented a total of 13,792,923 cases of dengue. The Southeast region predominated with the highest number of cases, representing 89.3% (n=12,321,732) of the total, followed by 22.7% (n=3,124,902) in the Northeast, 15.9% (n=2,192. 414) from the Midwest, 6% (n=826,873) from the North and 4.9% (n=679,122) from the South. The temporal trend in the South was of growth with a VPA of 19.6% per year in the 20-39 age group and 17% in the 60-79 age group, in the general group the growth was 18.7% (p<0, 05). The trend in the Midwest was for an increase only in the 80+ age group, with an increase of 18.4% per year. The other locations and age groups showed a stationary trend (p>0.05). Conclusion: The present study showed a high rate of dengue cases in Brazil. The temporal trend of dengue TPI was stationary in most observations, with the exception of the South and Midwest. |
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Temporal trend of dengue cases in Brazil and its regions from 2001 to 2020Tendencia temporal de casos de dengue en Brasil y sus regiones de 2001 a 2020Tendência temporal dos casos de dengue no Brasil e suas regiões no período de 2001 a 2020Estudos de séries temporaisDengueAedesDengue grave.Estudios de Series TemporalesDengueAedesDengue grave.Time series studiesDengueAedesSevere dengue.Objective: To estimate the temporal trend of dengue cases in Brazil and its regions from 2001 to 2020. Methodology: This is an ecological time series study on dengue cases in Brazil and regions from 2001 to 2020. The data came from of the Notifiable Diseases Information System (SINAN), stratified according to age group, year and location. Standardized incidence rates (SPT) were calculated and used for trend analysis, performed using the Joinpoint model. Results: Brazil over the time series presented a total of 13,792,923 cases of dengue. The Southeast region predominated with the highest number of cases, representing 89.3% (n=12,321,732) of the total, followed by 22.7% (n=3,124,902) in the Northeast, 15.9% (n=2,192. 414) from the Midwest, 6% (n=826,873) from the North and 4.9% (n=679,122) from the South. The temporal trend in the South was of growth with a VPA of 19.6% per year in the 20-39 age group and 17% in the 60-79 age group, in the general group the growth was 18.7% (p<0, 05). The trend in the Midwest was for an increase only in the 80+ age group, with an increase of 18.4% per year. The other locations and age groups showed a stationary trend (p>0.05). Conclusion: The present study showed a high rate of dengue cases in Brazil. The temporal trend of dengue TPI was stationary in most observations, with the exception of the South and Midwest.Objetivo: Estimar la tendencia temporal de los casos de dengue en Brasil y sus regiones de 2001 a 2020. Metodología: Este es un estudio de serie de tiempo ecológico sobre los casos de dengue en Brasil y sus regiones de 2001 a 2020. Los datos provienen de la Información de Enfermedades de Declaración Obligatoria Nacional (SINAN), estratificado según grupo de edad, año y localidad. Las tasas de incidencia estandarizadas (SPT) se calcularon y utilizaron para el análisis de tendencias, realizado utilizando el modelo Joinpoint. Resultados: Brasil a lo largo de la serie temporal presentó un total de 13.792.923 casos de dengue. La región Sudeste predominó con el mayor número de casos, representando el 89,3% (n=12.321.732) del total, seguida por el 22,7% (n=3.124.902) en el Nordeste, el 15,9% (n=2.192.414) del Medio Oeste, 6 % (n=826.873) del Norte y 4,9% (n=679.122) del Sur. La tendencia temporal en el Sur fue de crecimiento con un VPA de 19,6% anual en el grupo de 20 a 39 años y de 17% en el grupo de 60 a 79 años, en el grupo general el crecimiento fue de 18,7% (p<0,05). La tendencia en el Medio Oeste fue de un aumento solo en el grupo de edad de más de 80 años, con un aumento del 18,4 % por año. Las demás localidades y grupos de edad mostraron una tendencia estacionaria (p>0,05). Conclusión: El presente estudio mostró una alta tasa de casos de dengue en Brasil. La tendencia temporal del TPI del dengue fue estacionaria en la mayoría de las observaciones, con la excepción del sur y el medio oeste.Objetivo: Estimar a tendência temporal dos casos de dengue no Brasil e suas regiões de 2001 a 2020. Metodologia: Trata-se de um estudo ecológico de série temporal sobre os casos de dengue no Brasil e regiões de 2001 a 2020. Os dados foram provenientes do Sistema de Informação de Agravos de Notificação (SINAN), estratificados segundo faixa etária, ano e local. Foram calculadas as taxas de incidência padronizadas (TPI) e estas foram utilizadas para análise de tendência, feita por intermédio do modelo Joinpoint. Resultados: O Brasil ao longo da série temporal apresentou um total de 13.792.923 casos de dengue. A região sudeste predominou com maior número de casos, representando 89,3% (n=12.321.732) do total, seguido de 22,7% (n=3.124.902) do Nordeste, 15,9% (n=2.192.414) do Centro-oeste, 6% (n=826.873) do Norte e 4,9% (n=679.122) do Sul. A tendência temporal no Sul foi de crescimento com VPA de 19,6% ao ano na faixa etária de 20-39 anos e 17% na de 60-79, no grupo geral o crescimento foi de 18,7% (p<0,05). A tendência no Centro-oeste foi de aumento somente no grupo de 80 anos+ com incremento de 18,4% ao ano. As demais localidades e grupos etários apresentaram tendência estacionária (p>0,05). Conclusão: O presente estudo apresentou um índice alto de casos de dengue no Brasil. A tendência temporal da TPI de dengue foi estacionária na maioria das observações, com exceção do Sul e Centro-oeste.Research, Society and Development2022-06-28info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/3140310.33448/rsd-v11i8.31403Research, Society and Development; Vol. 11 No. 8; e53011831403Research, Society and Development; Vol. 11 Núm. 8; e53011831403Research, Society and Development; v. 11 n. 8; e530118314032525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/31403/26766Copyright (c) 2022 Vitória Steffany de Oliveira Santos; José Iglauberson Oliveira dos Santos; Paula Helen Santos Bispo; João Marcos Santos Oliveira; Beatriz Melo dos Santos; Maria Fernanda de Sá Camarço; Anna Letícia Ferreira Gomes; Michelle Ribeiro Santos; Yonara Yasmim Ferreira Anjos; Jefferson Felipe Calazans Batistahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessSantos, Vitória Steffany de Oliveira Santos, José Iglauberson Oliveira dos Bispo, Paula Helen Santos Oliveira, João Marcos SantosSantos, Beatriz Melo dosCamarço, Maria Fernanda de Sá Gomes, Anna Letícia Ferreira Santos, Michelle Ribeiro Anjos, Yonara Yasmim Ferreira Batista, Jefferson Felipe Calazans2022-07-01T13:34:06Zoai:ojs.pkp.sfu.ca:article/31403Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:47:45.607342Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false |
dc.title.none.fl_str_mv |
Temporal trend of dengue cases in Brazil and its regions from 2001 to 2020 Tendencia temporal de casos de dengue en Brasil y sus regiones de 2001 a 2020 Tendência temporal dos casos de dengue no Brasil e suas regiões no período de 2001 a 2020 |
title |
Temporal trend of dengue cases in Brazil and its regions from 2001 to 2020 |
spellingShingle |
Temporal trend of dengue cases in Brazil and its regions from 2001 to 2020 Santos, Vitória Steffany de Oliveira Estudos de séries temporais Dengue Aedes Dengue grave. Estudios de Series Temporales Dengue Aedes Dengue grave. Time series studies Dengue Aedes Severe dengue. |
title_short |
Temporal trend of dengue cases in Brazil and its regions from 2001 to 2020 |
title_full |
Temporal trend of dengue cases in Brazil and its regions from 2001 to 2020 |
title_fullStr |
Temporal trend of dengue cases in Brazil and its regions from 2001 to 2020 |
title_full_unstemmed |
Temporal trend of dengue cases in Brazil and its regions from 2001 to 2020 |
title_sort |
Temporal trend of dengue cases in Brazil and its regions from 2001 to 2020 |
author |
Santos, Vitória Steffany de Oliveira |
author_facet |
Santos, Vitória Steffany de Oliveira Santos, José Iglauberson Oliveira dos Bispo, Paula Helen Santos Oliveira, João Marcos Santos Santos, Beatriz Melo dos Camarço, Maria Fernanda de Sá Gomes, Anna Letícia Ferreira Santos, Michelle Ribeiro Anjos, Yonara Yasmim Ferreira Batista, Jefferson Felipe Calazans |
author_role |
author |
author2 |
Santos, José Iglauberson Oliveira dos Bispo, Paula Helen Santos Oliveira, João Marcos Santos Santos, Beatriz Melo dos Camarço, Maria Fernanda de Sá Gomes, Anna Letícia Ferreira Santos, Michelle Ribeiro Anjos, Yonara Yasmim Ferreira Batista, Jefferson Felipe Calazans |
author2_role |
author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Santos, Vitória Steffany de Oliveira Santos, José Iglauberson Oliveira dos Bispo, Paula Helen Santos Oliveira, João Marcos Santos Santos, Beatriz Melo dos Camarço, Maria Fernanda de Sá Gomes, Anna Letícia Ferreira Santos, Michelle Ribeiro Anjos, Yonara Yasmim Ferreira Batista, Jefferson Felipe Calazans |
dc.subject.por.fl_str_mv |
Estudos de séries temporais Dengue Aedes Dengue grave. Estudios de Series Temporales Dengue Aedes Dengue grave. Time series studies Dengue Aedes Severe dengue. |
topic |
Estudos de séries temporais Dengue Aedes Dengue grave. Estudios de Series Temporales Dengue Aedes Dengue grave. Time series studies Dengue Aedes Severe dengue. |
description |
Objective: To estimate the temporal trend of dengue cases in Brazil and its regions from 2001 to 2020. Methodology: This is an ecological time series study on dengue cases in Brazil and regions from 2001 to 2020. The data came from of the Notifiable Diseases Information System (SINAN), stratified according to age group, year and location. Standardized incidence rates (SPT) were calculated and used for trend analysis, performed using the Joinpoint model. Results: Brazil over the time series presented a total of 13,792,923 cases of dengue. The Southeast region predominated with the highest number of cases, representing 89.3% (n=12,321,732) of the total, followed by 22.7% (n=3,124,902) in the Northeast, 15.9% (n=2,192. 414) from the Midwest, 6% (n=826,873) from the North and 4.9% (n=679,122) from the South. The temporal trend in the South was of growth with a VPA of 19.6% per year in the 20-39 age group and 17% in the 60-79 age group, in the general group the growth was 18.7% (p<0, 05). The trend in the Midwest was for an increase only in the 80+ age group, with an increase of 18.4% per year. The other locations and age groups showed a stationary trend (p>0.05). Conclusion: The present study showed a high rate of dengue cases in Brazil. The temporal trend of dengue TPI was stationary in most observations, with the exception of the South and Midwest. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-06-28 |
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/31403 10.33448/rsd-v11i8.31403 |
url |
https://rsdjournal.org/index.php/rsd/article/view/31403 |
identifier_str_mv |
10.33448/rsd-v11i8.31403 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/31403/26766 |
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. 8; e53011831403 Research, Society and Development; Vol. 11 Núm. 8; e53011831403 Research, Society and Development; v. 11 n. 8; e53011831403 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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1797052716197871616 |