Evolução do número de acidentes do trabalho na região Sul do Brasil de 2008 a 2013
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Tipo de documento: | Dissertação |
Idioma: | por |
Título da fonte: | Manancial - Repositório Digital da UFSM |
Texto Completo: | http://repositorio.ufsm.br/handle/1/8413 |
Resumo: | The accelerated process of technological innovation has provided changes in work organization, and it shows therefore an expansion on work overload, resulting in a high number of accidents. Considering the importance of the issue and the possibility of contribution about it, this study aimed to analyze the types of labour accidents, in Southern Brazil, from 2008 to 2013, according to sociodemographic and temporal characteristics, besides using the Box-Jenkins method to assess the evolution and forecast the number of accidents. Were considered the records made available by DATAPREV on Historical Database of the Statistical Yearbook of Social Security. The descriptive analysis was performed by gender and age group, besides the comparison of the number of accidents between the years considering the economic activities and elements of the ICD-10. To adjust the time series models and calculation of forecasts, it was used the Box-Jenkins methodology. The characterization of labour accidents allowed identify the following scenario: the state of Rio Grande do Sul presented in absolute terms, the largest quantities of industrial accidents, followed by Paraná. Typical accidents were the most frequent, indicating that the vast majority of workplace accidents occur in the workplace. Moreover, these accidents occur mostly among men and workers under 34 years old. Among the models found in this research, all of them showed seasonal component, except those regarding the number of labour accidents by disease in Santa Catarina and Paraná, which had only components of moving averages and autoregressive, respectively, as well as an integration component. It was concluded that, when using the time series methodology it is possible to obtain an important support of orientation and encouragement to the monitoring data related to labour accidents. It is noteworthy that, although the databases can present filling deficiencies, is important that let there be permanent disclosure of this informations in order to sensitize the institutions involved to achieve continuous qualification of this source of knowledge about the profile of labour accident. |
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Evolução do número de acidentes do trabalho na região Sul do Brasil de 2008 a 2013Evolution of the number of labour accidents in the South region of Brazil from 2008 to 2013Acidentes de trabalhoSéries temporaisModelos de Box-JenkinsLabour accidentsTime seriesBox-Jenkins modelsCNPQ::ENGENHARIAS::ENGENHARIA DE PRODUCAOThe accelerated process of technological innovation has provided changes in work organization, and it shows therefore an expansion on work overload, resulting in a high number of accidents. Considering the importance of the issue and the possibility of contribution about it, this study aimed to analyze the types of labour accidents, in Southern Brazil, from 2008 to 2013, according to sociodemographic and temporal characteristics, besides using the Box-Jenkins method to assess the evolution and forecast the number of accidents. Were considered the records made available by DATAPREV on Historical Database of the Statistical Yearbook of Social Security. The descriptive analysis was performed by gender and age group, besides the comparison of the number of accidents between the years considering the economic activities and elements of the ICD-10. To adjust the time series models and calculation of forecasts, it was used the Box-Jenkins methodology. The characterization of labour accidents allowed identify the following scenario: the state of Rio Grande do Sul presented in absolute terms, the largest quantities of industrial accidents, followed by Paraná. Typical accidents were the most frequent, indicating that the vast majority of workplace accidents occur in the workplace. Moreover, these accidents occur mostly among men and workers under 34 years old. Among the models found in this research, all of them showed seasonal component, except those regarding the number of labour accidents by disease in Santa Catarina and Paraná, which had only components of moving averages and autoregressive, respectively, as well as an integration component. It was concluded that, when using the time series methodology it is possible to obtain an important support of orientation and encouragement to the monitoring data related to labour accidents. It is noteworthy that, although the databases can present filling deficiencies, is important that let there be permanent disclosure of this informations in order to sensitize the institutions involved to achieve continuous qualification of this source of knowledge about the profile of labour accident.Coordenação de Aperfeiçoamento de Pessoal de Nível SuperiorO acelerado processo de inovação tecnológica tem proporcionado mudanças na organização laboral, e nota-se, assim, uma ampliação na sobrecarga de trabalho, acarretando um número elevado de acidentes. Considerando a importância do tema e a possibilidade de contribuição sobre ele, este estudo teve como objetivo analisar os tipos de acidentes do trabalho, na região Sul do Brasil, de 2008 a 2013, segundo características sociodemográficas e temporais, além de utilizar o método de Box-Jenkins para avaliar a evolução e previsão do número de acidentes. Foram considerados os registros disponibilizados pelo DATAPREV, na Base de Dados Históricos do Anuário Estatístico da Previdência Social. Foi realizada uma análise descritiva, por sexo e por faixa etária, além da comparação do número de acidentes entre os anos, considerando as atividades econômicas e os elementos da CID-10. Para o ajuste dos modelos de séries temporais e cálculo das previsões, foi utilizada a metodologia de Box-Jenkins. A caracterização dos acidentes do trabalho permitiu identificar o seguinte cenário: o estado do Rio Grande do Sul apresentou, em termos absolutos, as maiores quantidades de acidentes do trabalho, seguido por Paraná. Os acidentes típicos foram os mais frequentes, indicando que a grande maioria dos acidentes do trabalho ocorre dentro do ambiente de trabalho. Além disso, estes acidentes ocorrem em sua maior parte, entre homens e em trabalhadores com menos de 34 anos de idade. Dentre os modelos encontrados nesta pesquisa, todos apresentaram componente sazonal, exceto aqueles referentes ao número de acidentes do trabalho por doença em Santa Catarina e Paraná, que apresentaram apenas componentes de médias móveis e autorregressivas, respectivamente, além de uma componente de integração. Concluiu-se que, ao se utilizar a metodologia de séries temporais pode-se obter um importante suporte de orientação e apoio para o monitoramento de dados referentes aos acidentes do trabalho. Destaca-se que, embora as bases de dados possam apresentar deficiências de preenchimento, é importante que haja a divulgação permanente dessas informações, a fim de sensibilizar as instituições envolvidas para alcançar a qualificação contínua dessa fonte de conhecimento sobre o perfil de acidentes do trabalho.Universidade Federal de Santa MariaBREngenharia de ProduçãoUFSMPrograma de Pós-Graduação em Engenharia de ProduçãoZanini, Roselaine Ruviarohttp://lattes.cnpq.br/4332331006565656Souza, Adriano Mendonçahttp://lattes.cnpq.br/5271075797851198Vicini, Lorenahttp://lattes.cnpq.br/8676745244195312Peripolli, Angélica2017-01-202017-01-202016-08-29info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfapplication/pdfPERIPOLLI, Angélica. Evolution of the number of labour accidents in the South region of Brazil from 2008 to 2013. 2016. 96 f. Dissertação (Mestrado em Engenharia de Produção) - Universidade Federal de Santa Maria, Santa Maria, 2016.http://repositorio.ufsm.br/handle/1/8413porinfo:eu-repo/semantics/openAccessreponame:Manancial - Repositório Digital da UFSMinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSM2022-05-04T11:24:10Zoai:repositorio.ufsm.br:1/8413Biblioteca Digital de Teses e Dissertaçõeshttps://repositorio.ufsm.br/ONGhttps://repositorio.ufsm.br/oai/requestatendimento.sib@ufsm.br||tedebc@gmail.comopendoar:2022-05-04T11:24:10Manancial - Repositório Digital da UFSM - Universidade Federal de Santa Maria (UFSM)false |
dc.title.none.fl_str_mv |
Evolução do número de acidentes do trabalho na região Sul do Brasil de 2008 a 2013 Evolution of the number of labour accidents in the South region of Brazil from 2008 to 2013 |
title |
Evolução do número de acidentes do trabalho na região Sul do Brasil de 2008 a 2013 |
spellingShingle |
Evolução do número de acidentes do trabalho na região Sul do Brasil de 2008 a 2013 Peripolli, Angélica Acidentes de trabalho Séries temporais Modelos de Box-Jenkins Labour accidents Time series Box-Jenkins models CNPQ::ENGENHARIAS::ENGENHARIA DE PRODUCAO |
title_short |
Evolução do número de acidentes do trabalho na região Sul do Brasil de 2008 a 2013 |
title_full |
Evolução do número de acidentes do trabalho na região Sul do Brasil de 2008 a 2013 |
title_fullStr |
Evolução do número de acidentes do trabalho na região Sul do Brasil de 2008 a 2013 |
title_full_unstemmed |
Evolução do número de acidentes do trabalho na região Sul do Brasil de 2008 a 2013 |
title_sort |
Evolução do número de acidentes do trabalho na região Sul do Brasil de 2008 a 2013 |
author |
Peripolli, Angélica |
author_facet |
Peripolli, Angélica |
author_role |
author |
dc.contributor.none.fl_str_mv |
Zanini, Roselaine Ruviaro http://lattes.cnpq.br/4332331006565656 Souza, Adriano Mendonça http://lattes.cnpq.br/5271075797851198 Vicini, Lorena http://lattes.cnpq.br/8676745244195312 |
dc.contributor.author.fl_str_mv |
Peripolli, Angélica |
dc.subject.por.fl_str_mv |
Acidentes de trabalho Séries temporais Modelos de Box-Jenkins Labour accidents Time series Box-Jenkins models CNPQ::ENGENHARIAS::ENGENHARIA DE PRODUCAO |
topic |
Acidentes de trabalho Séries temporais Modelos de Box-Jenkins Labour accidents Time series Box-Jenkins models CNPQ::ENGENHARIAS::ENGENHARIA DE PRODUCAO |
description |
The accelerated process of technological innovation has provided changes in work organization, and it shows therefore an expansion on work overload, resulting in a high number of accidents. Considering the importance of the issue and the possibility of contribution about it, this study aimed to analyze the types of labour accidents, in Southern Brazil, from 2008 to 2013, according to sociodemographic and temporal characteristics, besides using the Box-Jenkins method to assess the evolution and forecast the number of accidents. Were considered the records made available by DATAPREV on Historical Database of the Statistical Yearbook of Social Security. The descriptive analysis was performed by gender and age group, besides the comparison of the number of accidents between the years considering the economic activities and elements of the ICD-10. To adjust the time series models and calculation of forecasts, it was used the Box-Jenkins methodology. The characterization of labour accidents allowed identify the following scenario: the state of Rio Grande do Sul presented in absolute terms, the largest quantities of industrial accidents, followed by Paraná. Typical accidents were the most frequent, indicating that the vast majority of workplace accidents occur in the workplace. Moreover, these accidents occur mostly among men and workers under 34 years old. Among the models found in this research, all of them showed seasonal component, except those regarding the number of labour accidents by disease in Santa Catarina and Paraná, which had only components of moving averages and autoregressive, respectively, as well as an integration component. It was concluded that, when using the time series methodology it is possible to obtain an important support of orientation and encouragement to the monitoring data related to labour accidents. It is noteworthy that, although the databases can present filling deficiencies, is important that let there be permanent disclosure of this informations in order to sensitize the institutions involved to achieve continuous qualification of this source of knowledge about the profile of labour accident. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-08-29 2017-01-20 2017-01-20 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
PERIPOLLI, Angélica. Evolution of the number of labour accidents in the South region of Brazil from 2008 to 2013. 2016. 96 f. Dissertação (Mestrado em Engenharia de Produção) - Universidade Federal de Santa Maria, Santa Maria, 2016. http://repositorio.ufsm.br/handle/1/8413 |
identifier_str_mv |
PERIPOLLI, Angélica. Evolution of the number of labour accidents in the South region of Brazil from 2008 to 2013. 2016. 96 f. Dissertação (Mestrado em Engenharia de Produção) - Universidade Federal de Santa Maria, Santa Maria, 2016. |
url |
http://repositorio.ufsm.br/handle/1/8413 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal de Santa Maria BR Engenharia de Produção UFSM Programa de Pós-Graduação em Engenharia de Produção |
publisher.none.fl_str_mv |
Universidade Federal de Santa Maria BR Engenharia de Produção UFSM Programa de Pós-Graduação em Engenharia de Produção |
dc.source.none.fl_str_mv |
reponame:Manancial - Repositório Digital da UFSM instname:Universidade Federal de Santa Maria (UFSM) instacron:UFSM |
instname_str |
Universidade Federal de Santa Maria (UFSM) |
instacron_str |
UFSM |
institution |
UFSM |
reponame_str |
Manancial - Repositório Digital da UFSM |
collection |
Manancial - Repositório Digital da UFSM |
repository.name.fl_str_mv |
Manancial - Repositório Digital da UFSM - Universidade Federal de Santa Maria (UFSM) |
repository.mail.fl_str_mv |
atendimento.sib@ufsm.br||tedebc@gmail.com |
_version_ |
1805922057802743808 |