Time trend and spatial distribution of traffic accidents mortality – Piauí, Brazil, 2000-2017
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , |
Tipo de documento: | preprint |
Idioma: | por |
Título da fonte: | SciELO Preprints |
Texto Completo: | https://preprints.scielo.org/index.php/scielo/preprint/view/1167 |
Resumo: | Objective. To analyze the time trend and spatial distribution of traffic accidents (TA) mortality in Piauí, from 2000 to 2017. Methods. An ecological time series study was conducted with Mortality Information System (SIM) data, on TA mortality in population resident of the Piauí, according to sex, age groups and municipality. Was used the Prais-Winsten regression. Results. 14,396 deaths were recorded, with mortality rate per 100,000 inhabitants of 13.9 in 2000 and 30.6 in 2017. There was a significant increase in the mortality rate for TA (annual percent change [APC] of 6.4% – 95%CI 4.3;8.7), higher among motorcyclists (APC=14.7% – 95%CI 9.7;20.0) and among vehicles occupants (APC=15.2 – 95%CI 10.5;20.2). Conclusion. There was significant increase in TA mortality in Piauí, especially among motorcyclists and vehicles occupants. Actions are needed to promote road safety and to prevent deaths in traffic. |
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Time trend and spatial distribution of traffic accidents mortality – Piauí, Brazil, 2000-2017Tendencia temporal y distribución espacial de la mortalidad por accidentes de tránsito – Piauí, Brasil, 2000-2017Tendência temporal e distribuição espacial da mortalidade por acidentes de trânsito – Piauí, 2000-2017Acidentes de TrânsitoEstudos de Séries TemporaisMortalidadeSistemas de Informação em SaúdeAccidents, TrafficTime Series StudiesMortalityHealth Information SystemsObjective. To analyze the time trend and spatial distribution of traffic accidents (TA) mortality in Piauí, from 2000 to 2017. Methods. An ecological time series study was conducted with Mortality Information System (SIM) data, on TA mortality in population resident of the Piauí, according to sex, age groups and municipality. Was used the Prais-Winsten regression. Results. 14,396 deaths were recorded, with mortality rate per 100,000 inhabitants of 13.9 in 2000 and 30.6 in 2017. There was a significant increase in the mortality rate for TA (annual percent change [APC] of 6.4% – 95%CI 4.3;8.7), higher among motorcyclists (APC=14.7% – 95%CI 9.7;20.0) and among vehicles occupants (APC=15.2 – 95%CI 10.5;20.2). Conclusion. There was significant increase in TA mortality in Piauí, especially among motorcyclists and vehicles occupants. Actions are needed to promote road safety and to prevent deaths in traffic.Objetivo. Analisar a tendência temporal e a distribuição espacial da mortalidade por acidentes de trânsito (AT) no Piauí, de 2000 a 2017. Métodos. estudo ecológico de séries temporais, com dados do Sistema de Informações sobre Mortalidade (SIM), referentes à mortalidade por AT em residentes do estado do Piauí, segundo sexo, faixa etária e município. Empregou-se regressão de Prais-Winsten. Resultados. Registraram-se 14.396 óbitos, com taxa de mortalidade por 100 mil habitantes de 13,9 em 2000 e 30,6 em 2017. Houve aumento significativo na taxa de mortalidade por AT (variação percentual anual [VPA] de 6,4% – IC95% 4,3;8,7), maior entre motociclistas (VPA=14,7% – IC95% 9,7;20,0) e entre ocupantes de veículos (VPA=15,2 – IC95% 10,5;20,2). Conclusão. Houve aumento significativo da mortalidade por AT no Piauí, principalmente de motociclistas e ocupantes de veículos. São necessárias ações para promover a segurança viária e prevenir mortes no trânsito.SciELO PreprintsSciELO PreprintsSciELO Preprints2020-08-31info:eu-repo/semantics/preprintinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://preprints.scielo.org/index.php/scielo/preprint/view/116710.1590/SciELOPreprints.1167porhttps://preprints.scielo.org/index.php/scielo/article/view/1167/1756Copyright (c) 2020 Roniele Araújo de Sousa, Cyntia Meneses de Sá Sousa, Flávia Raymme Soares Silva, Malvina Thais Pacheco Rodrigues, Osmar de Oliveira Cardoso, Márcio Dênis Medeiros Mascarenhashttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessSousa, Roniele Araújo deSá Sousa, Cyntia Meneses de Silva, Flávia Raymme SoaresRodrigues, Malvina Thais PachecoCardoso, Osmar de OliveiraMascarenhas, Márcio Dênis Medeiros reponame:SciELO Preprintsinstname:SciELOinstacron:SCI2020-08-31T01:03:51Zoai:ops.preprints.scielo.org:preprint/1167Servidor de preprintshttps://preprints.scielo.org/index.php/scieloONGhttps://preprints.scielo.org/index.php/scielo/oaiscielo.submission@scielo.orgopendoar:2020-08-31T01:03:51SciELO Preprints - SciELOfalse |
dc.title.none.fl_str_mv |
Time trend and spatial distribution of traffic accidents mortality – Piauí, Brazil, 2000-2017 Tendencia temporal y distribución espacial de la mortalidad por accidentes de tránsito – Piauí, Brasil, 2000-2017 Tendência temporal e distribuição espacial da mortalidade por acidentes de trânsito – Piauí, 2000-2017 |
title |
Time trend and spatial distribution of traffic accidents mortality – Piauí, Brazil, 2000-2017 |
spellingShingle |
Time trend and spatial distribution of traffic accidents mortality – Piauí, Brazil, 2000-2017 Sousa, Roniele Araújo de Acidentes de Trânsito Estudos de Séries Temporais Mortalidade Sistemas de Informação em Saúde Accidents, Traffic Time Series Studies Mortality Health Information Systems |
title_short |
Time trend and spatial distribution of traffic accidents mortality – Piauí, Brazil, 2000-2017 |
title_full |
Time trend and spatial distribution of traffic accidents mortality – Piauí, Brazil, 2000-2017 |
title_fullStr |
Time trend and spatial distribution of traffic accidents mortality – Piauí, Brazil, 2000-2017 |
title_full_unstemmed |
Time trend and spatial distribution of traffic accidents mortality – Piauí, Brazil, 2000-2017 |
title_sort |
Time trend and spatial distribution of traffic accidents mortality – Piauí, Brazil, 2000-2017 |
author |
Sousa, Roniele Araújo de |
author_facet |
Sousa, Roniele Araújo de Sá Sousa, Cyntia Meneses de Silva, Flávia Raymme Soares Rodrigues, Malvina Thais Pacheco Cardoso, Osmar de Oliveira Mascarenhas, Márcio Dênis Medeiros |
author_role |
author |
author2 |
Sá Sousa, Cyntia Meneses de Silva, Flávia Raymme Soares Rodrigues, Malvina Thais Pacheco Cardoso, Osmar de Oliveira Mascarenhas, Márcio Dênis Medeiros |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Sousa, Roniele Araújo de Sá Sousa, Cyntia Meneses de Silva, Flávia Raymme Soares Rodrigues, Malvina Thais Pacheco Cardoso, Osmar de Oliveira Mascarenhas, Márcio Dênis Medeiros |
dc.subject.por.fl_str_mv |
Acidentes de Trânsito Estudos de Séries Temporais Mortalidade Sistemas de Informação em Saúde Accidents, Traffic Time Series Studies Mortality Health Information Systems |
topic |
Acidentes de Trânsito Estudos de Séries Temporais Mortalidade Sistemas de Informação em Saúde Accidents, Traffic Time Series Studies Mortality Health Information Systems |
description |
Objective. To analyze the time trend and spatial distribution of traffic accidents (TA) mortality in Piauí, from 2000 to 2017. Methods. An ecological time series study was conducted with Mortality Information System (SIM) data, on TA mortality in population resident of the Piauí, according to sex, age groups and municipality. Was used the Prais-Winsten regression. Results. 14,396 deaths were recorded, with mortality rate per 100,000 inhabitants of 13.9 in 2000 and 30.6 in 2017. There was a significant increase in the mortality rate for TA (annual percent change [APC] of 6.4% – 95%CI 4.3;8.7), higher among motorcyclists (APC=14.7% – 95%CI 9.7;20.0) and among vehicles occupants (APC=15.2 – 95%CI 10.5;20.2). Conclusion. There was significant increase in TA mortality in Piauí, especially among motorcyclists and vehicles occupants. Actions are needed to promote road safety and to prevent deaths in traffic. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-08-31 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/preprint info:eu-repo/semantics/publishedVersion |
format |
preprint |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://preprints.scielo.org/index.php/scielo/preprint/view/1167 10.1590/SciELOPreprints.1167 |
url |
https://preprints.scielo.org/index.php/scielo/preprint/view/1167 |
identifier_str_mv |
10.1590/SciELOPreprints.1167 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://preprints.scielo.org/index.php/scielo/article/view/1167/1756 |
dc.rights.driver.fl_str_mv |
https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
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https://creativecommons.org/licenses/by/4.0 |
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openAccess |
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application/pdf |
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SciELO Preprints SciELO Preprints SciELO Preprints |
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SciELO Preprints SciELO Preprints SciELO Preprints |
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