Temporal trend and spatial analysis of confirmed tuberculosis cases in northeastern Brazilian states 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/29002 |
Resumo: | The present study aimed to estimate the temporal trend of confirmed cases of tuberculosis in northeastern Brazilian states from 2001 to 2020. This is an ecological time series study using public databases. Data were collected from the Notifiable Diseases Information System (SINAN/DATASUS). The information was arranged through descriptive statistics: mean, standard deviation, minimum and maximum. The tuberculosis incidence rate (TIR) was calculated according to sex and state and used for trend estimation, performed using JoinPoint regression. Correlation estimation was performed using the TIR with GINI coefficients, per capita income and sanitary sewage. The Northeast presented an average TIT of 46.15 cases (SD= 5.54) for every 100 thousand inhabitants. The highest TIRs were observed in Pernambuco with 60.15 cases/100 thousand inhabitants (SD=2.92), followed by Ceará with 50.69 cases/100 thousand inhabitants. (SD=5.02). The temporal trend of the Northeast, Rio Grande do Norte, Pernambuco and Sergipe was stationary (p>0.05). Maranhão presented a decrease of -6.7% in the general group between 2005-2012 and a general reduction of -2% in the entire time series. Ceará, Paraíba and Alagoas presented a decrease of -2.8%, -2.4% and -8.2% in the group of women, respectively. The state of Bahia showed a decrease in all groups, -11.2% (male), -4.1% (female) and -3.3% (general). Correlation results were not statistically significant (p>0.05). The Northeast, Rio Grande do Norte, Pernambuco and Sergipe showed a stationary trend, while Ceará, Paraíba, Alagoas and Bahia showed a decrease. |
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Temporal trend and spatial analysis of confirmed tuberculosis cases in northeastern Brazilian states from 2001 to 2020Tendencia temporal y análisis espacial de los casos confirmados de tuberculosis en los estados del noreste de Brasil de 2001 a 2020Tendência temporal e análise espacial dos casos confirmados de tuberculose nos estados do nordeste brasileiro no período de 2001 a 2020TuberculosisEpidemiologíaEstudios de series temporalesEnseñanza.TuberculosisEpidemiologyTime series studiesTeaching.TuberculoseEpidemiologiaEstudos de séries temporaisEnsino.The present study aimed to estimate the temporal trend of confirmed cases of tuberculosis in northeastern Brazilian states from 2001 to 2020. This is an ecological time series study using public databases. Data were collected from the Notifiable Diseases Information System (SINAN/DATASUS). The information was arranged through descriptive statistics: mean, standard deviation, minimum and maximum. The tuberculosis incidence rate (TIR) was calculated according to sex and state and used for trend estimation, performed using JoinPoint regression. Correlation estimation was performed using the TIR with GINI coefficients, per capita income and sanitary sewage. The Northeast presented an average TIT of 46.15 cases (SD= 5.54) for every 100 thousand inhabitants. The highest TIRs were observed in Pernambuco with 60.15 cases/100 thousand inhabitants (SD=2.92), followed by Ceará with 50.69 cases/100 thousand inhabitants. (SD=5.02). The temporal trend of the Northeast, Rio Grande do Norte, Pernambuco and Sergipe was stationary (p>0.05). Maranhão presented a decrease of -6.7% in the general group between 2005-2012 and a general reduction of -2% in the entire time series. Ceará, Paraíba and Alagoas presented a decrease of -2.8%, -2.4% and -8.2% in the group of women, respectively. The state of Bahia showed a decrease in all groups, -11.2% (male), -4.1% (female) and -3.3% (general). Correlation results were not statistically significant (p>0.05). The Northeast, Rio Grande do Norte, Pernambuco and Sergipe showed a stationary trend, while Ceará, Paraíba, Alagoas and Bahia showed a decrease.El presente estudio tuvo como objetivo estimar la tendencia temporal de los casos confirmados de tuberculosis en los estados del noreste de Brasil de 2001 a 2020. Se trata de un estudio de series temporales ecológicas utilizando bases de datos públicas. Los datos fueron recolectados del Sistema de Información de Enfermedades de Declaración Obligatoria (SINAN/DATASUS). La información se ordenó mediante estadística descriptiva: media, desviación estándar, mínimo y máximo. La tasa de incidencia de tuberculosis (TIT) se calculó según el sexo y el estado y se utilizó para la estimación de la tendencia, realizada mediante la regresión JoinPoint. La estimación de la correlación se realizó utilizando la TIT con coeficientes GINI, ingreso per cápita y alcantarillado sanitario. El Nordeste presentó TIT promedio de 46,15 casos (DE= 5,54) por cada 100 mil habitantes. Las mayores TIT se observaron en Pernambuco con 60,15 casos/100 mil habitantes (DE=2,92), seguido de Ceará con 50,69 casos/100 mil habitantes. (DE=5,02). La tendencia temporal del Nordeste, Rio Grande do Norte, Pernambuco y Sergipe fue estacionaria (p>0,05). Maranhão presentó una disminución de -6,7% en el grupo general entre 2005-2012 y una reducción general de -2% en toda la serie temporal. Ceará, Paraíba y Alagoas presentaron descenso de -2,8%, -2,4% y -8,2% en el grupo de mujeres, respectivamente. El estado de Bahía presentó descenso en todos los grupos, -11,2% (masculino), -4,1% (femenino) y -3,3% (general). Los resultados de la correlación no fueron estadísticamente significativos (p>0,05). El Nordeste, Rio Grande do Norte, Pernambuco y Sergipe mostraron tendencia estacionaria, mientras que Ceará, Paraíba, Alagoas y Bahia mostraron descenso.O presente estudo objetivou estimar a tendência temporal dos casos confirmados de tuberculose nos estados do nordeste brasileiro no período de 2001 a 2020. Trata-se de um estudo ecológico de série temporal utilizando banco de dados públicos. Os dados foram levantados do Sistema de Informação de Agravos de Notificação (SINAN/DATASUS). As informações foram dispostas por meio da estatística descritiva: média, desvio padrão, mínimo e máximo. A taxa de incidência de tuberculose (TIT) foi calculada segundo sexo e estado e utilizada para a estimativa de tendência, realizada por meio da regressão por JoinPoint. Estimativa de correlação foi realizada utilizado a TIT com coeficientes de GINI, renda per capita e esgotamento sanitário. O Nordeste apresentou uma média de TIT de 46,15 casos (DP= 5,54) para cada 100 mil habitantes. As maiores TIT foram observadas em Pernambuco com 60,15 casos/100 mil habitantes (DP=2,92), seguido do Ceará com 50,69 casos/100 mil hab. (DP=5,02). A tendência temporal do Nordeste, Rio Grande do Norte, Pernambuco e Sergipe foi estacionária (p>0,05). O Maranhão apresentou diminuição de -6,7% no grupo geral entre 2005-2012 e redução geral de -2% em toda série temporal. O Ceará, Paraíba e Alagoas apresentaram diminuição de -2,8%, -2,4% e -8,2% no grupo de mulheres, respectivamente. O estado da Bahia apresentou diminuição em todos os grupos, -11,2% (masculino), -4,1% (feminino) e -3,3% (geral). Os resultados da correlação não foram estatisticamente significativos (p>0,05). O Nordeste, Rio Grande do Norte, Pernambuco e Sergipe apresentaram tendência estacionária, enquanto o Ceará, Paraíba, Alagoas e Bahia apresentaram diminuição.Research, Society and Development2022-04-22info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/2900210.33448/rsd-v11i6.29002Research, Society and Development; Vol. 11 No. 6; e12111629002Research, Society and Development; Vol. 11 Núm. 6; e12111629002Research, Society and Development; v. 11 n. 6; e121116290022525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/29002/25041Copyright (c) 2022 Vitória Steffany de Oliveira Santos; Natanael Feitoza Santos; Késsia Raianne Santos Carregosa; Vitória Alves Silva; Tatiane Batista dos Santos; Michelle Ribeiro Santos; Yonara Yasmim Ferreira Anjos; Luana da Conceição Costa Cardoso; Jadson Nilo Pereira Santos; Jefferson Felipe Calazans Batistahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessSantos, Vitória Steffany de Oliveira Santos, Natanael Feitoza Carregosa, Késsia Raianne Santos Silva, Vitória Alves Santos, Tatiane Batista dos Santos, Michelle Ribeiro Anjos, Yonara Yasmim Ferreira Cardoso, Luana da Conceição Costa Santos, Jadson Nilo PereiraBatista, Jefferson Felipe Calazans2022-05-13T18:04:10Zoai:ojs.pkp.sfu.ca:article/29002Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:46:12.485026Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false |
dc.title.none.fl_str_mv |
Temporal trend and spatial analysis of confirmed tuberculosis cases in northeastern Brazilian states from 2001 to 2020 Tendencia temporal y análisis espacial de los casos confirmados de tuberculosis en los estados del noreste de Brasil de 2001 a 2020 Tendência temporal e análise espacial dos casos confirmados de tuberculose nos estados do nordeste brasileiro no período de 2001 a 2020 |
title |
Temporal trend and spatial analysis of confirmed tuberculosis cases in northeastern Brazilian states from 2001 to 2020 |
spellingShingle |
Temporal trend and spatial analysis of confirmed tuberculosis cases in northeastern Brazilian states from 2001 to 2020 Santos, Vitória Steffany de Oliveira Tuberculosis Epidemiología Estudios de series temporales Enseñanza. Tuberculosis Epidemiology Time series studies Teaching. Tuberculose Epidemiologia Estudos de séries temporais Ensino. |
title_short |
Temporal trend and spatial analysis of confirmed tuberculosis cases in northeastern Brazilian states from 2001 to 2020 |
title_full |
Temporal trend and spatial analysis of confirmed tuberculosis cases in northeastern Brazilian states from 2001 to 2020 |
title_fullStr |
Temporal trend and spatial analysis of confirmed tuberculosis cases in northeastern Brazilian states from 2001 to 2020 |
title_full_unstemmed |
Temporal trend and spatial analysis of confirmed tuberculosis cases in northeastern Brazilian states from 2001 to 2020 |
title_sort |
Temporal trend and spatial analysis of confirmed tuberculosis cases in northeastern Brazilian states from 2001 to 2020 |
author |
Santos, Vitória Steffany de Oliveira |
author_facet |
Santos, Vitória Steffany de Oliveira Santos, Natanael Feitoza Carregosa, Késsia Raianne Santos Silva, Vitória Alves Santos, Tatiane Batista dos Santos, Michelle Ribeiro Anjos, Yonara Yasmim Ferreira Cardoso, Luana da Conceição Costa Santos, Jadson Nilo Pereira Batista, Jefferson Felipe Calazans |
author_role |
author |
author2 |
Santos, Natanael Feitoza Carregosa, Késsia Raianne Santos Silva, Vitória Alves Santos, Tatiane Batista dos Santos, Michelle Ribeiro Anjos, Yonara Yasmim Ferreira Cardoso, Luana da Conceição Costa Santos, Jadson Nilo Pereira 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, Natanael Feitoza Carregosa, Késsia Raianne Santos Silva, Vitória Alves Santos, Tatiane Batista dos Santos, Michelle Ribeiro Anjos, Yonara Yasmim Ferreira Cardoso, Luana da Conceição Costa Santos, Jadson Nilo Pereira Batista, Jefferson Felipe Calazans |
dc.subject.por.fl_str_mv |
Tuberculosis Epidemiología Estudios de series temporales Enseñanza. Tuberculosis Epidemiology Time series studies Teaching. Tuberculose Epidemiologia Estudos de séries temporais Ensino. |
topic |
Tuberculosis Epidemiología Estudios de series temporales Enseñanza. Tuberculosis Epidemiology Time series studies Teaching. Tuberculose Epidemiologia Estudos de séries temporais Ensino. |
description |
The present study aimed to estimate the temporal trend of confirmed cases of tuberculosis in northeastern Brazilian states from 2001 to 2020. This is an ecological time series study using public databases. Data were collected from the Notifiable Diseases Information System (SINAN/DATASUS). The information was arranged through descriptive statistics: mean, standard deviation, minimum and maximum. The tuberculosis incidence rate (TIR) was calculated according to sex and state and used for trend estimation, performed using JoinPoint regression. Correlation estimation was performed using the TIR with GINI coefficients, per capita income and sanitary sewage. The Northeast presented an average TIT of 46.15 cases (SD= 5.54) for every 100 thousand inhabitants. The highest TIRs were observed in Pernambuco with 60.15 cases/100 thousand inhabitants (SD=2.92), followed by Ceará with 50.69 cases/100 thousand inhabitants. (SD=5.02). The temporal trend of the Northeast, Rio Grande do Norte, Pernambuco and Sergipe was stationary (p>0.05). Maranhão presented a decrease of -6.7% in the general group between 2005-2012 and a general reduction of -2% in the entire time series. Ceará, Paraíba and Alagoas presented a decrease of -2.8%, -2.4% and -8.2% in the group of women, respectively. The state of Bahia showed a decrease in all groups, -11.2% (male), -4.1% (female) and -3.3% (general). Correlation results were not statistically significant (p>0.05). The Northeast, Rio Grande do Norte, Pernambuco and Sergipe showed a stationary trend, while Ceará, Paraíba, Alagoas and Bahia showed a decrease. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-04-22 |
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/29002 10.33448/rsd-v11i6.29002 |
url |
https://rsdjournal.org/index.php/rsd/article/view/29002 |
identifier_str_mv |
10.33448/rsd-v11i6.29002 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/29002/25041 |
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 |
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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. 6; e12111629002 Research, Society and Development; Vol. 11 Núm. 6; e12111629002 Research, Society and Development; v. 11 n. 6; e12111629002 2525-3409 reponame:Research, Society and Development instname:Universidade Federal de Itajubá (UNIFEI) instacron:UNIFEI |
instname_str |
Universidade Federal de Itajubá (UNIFEI) |
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UNIFEI |
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UNIFEI |
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Research, Society and Development |
collection |
Research, Society and Development |
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Research, Society and Development - Universidade Federal de Itajubá (UNIFEI) |
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rsd.articles@gmail.com |
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