Evolução do número de acidentes do trabalho na região Sul do Brasil de 2008 a 2013

Detalhes bibliográficos
Ano de defesa: 2016
Autor(a) principal: Peripolli, Angélica lattes
Orientador(a): Zanini, Roselaine Ruviaro lattes
Banca de defesa: Souza, Adriano Mendonça lattes, Vicini, Lorena lattes
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Universidade Federal de Santa Maria
Programa de Pós-Graduação: Programa de Pós-Graduação em Engenharia de Produção
Departamento: Engenharia de Produção
País: BR
Palavras-chave em Português:
Palavras-chave em Inglês:
Área do conhecimento CNPq:
Link de acesso: 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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spelling 2017-01-202017-01-202016-08-29PERIPOLLI, 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/1/8413The 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.O 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.Coordenação de Aperfeiçoamento de Pessoal de Nível Superiorapplication/pdfporUniversidade Federal de Santa MariaPrograma de Pós-Graduação em Engenharia de ProduçãoUFSMBREngenharia de ProduçãoAcidentes de trabalhoSéries temporaisModelos de Box-JenkinsLabour accidentsTime seriesBox-Jenkins modelsCNPQ::ENGENHARIAS::ENGENHARIA DE PRODUCAOEvolução 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 2013info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisZanini, Roselaine Ruviarohttp://lattes.cnpq.br/4332331006565656Souza, Adriano Mendonçahttp://lattes.cnpq.br/5271075797851198Vicini, Lorenahttp://lattes.cnpq.br/8676745244195312http://lattes.cnpq.br/1273044807205979Peripolli, Angélica300800000005400300300500300b5af5cd4-250e-4e42-8491-f0c3fd2656f50d18b4aa-ea07-457d-9432-518dc66e39186d3ff5eb-4c65-4863-bc39-5de8ce2a29e962b98be5-110a-4ff4-a30e-8dd852782bbdinfo:eu-repo/semantics/openAccessreponame:Biblioteca Digital de Teses e Dissertações do UFSMinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMORIGINALPERIPOLLI, ANGELICA.pdfapplication/pdf2015089http://repositorio.ufsm.br/bitstream/1/8413/1/PERIPOLLI%2c%20ANGELICA.pdfa64e1e6ac07aa72855ae78b15355e844MD51TEXTPERIPOLLI, ANGELICA.pdf.txtPERIPOLLI, ANGELICA.pdf.txtExtracted texttext/plain176164http://repositorio.ufsm.br/bitstream/1/8413/2/PERIPOLLI%2c%20ANGELICA.pdf.txt9177a99c6092e7b1067811fd84aea45aMD52THUMBNAILPERIPOLLI, ANGELICA.pdf.jpgPERIPOLLI, ANGELICA.pdf.jpgIM Thumbnailimage/jpeg4176http://repositorio.ufsm.br/bitstream/1/8413/3/PERIPOLLI%2c%20ANGELICA.pdf.jpg7941e3c82c8207a8ea504f07eb972da4MD531/84132022-05-04 08:24:10.014oai: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:2022-05-04T11:24:10Biblioteca Digital de Teses e Dissertações do UFSM - Universidade Federal de Santa Maria (UFSM)false
dc.title.por.fl_str_mv Evolução do número de acidentes do trabalho na região Sul do Brasil de 2008 a 2013
dc.title.alternative.eng.fl_str_mv 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.advisor1.fl_str_mv Zanini, Roselaine Ruviaro
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/4332331006565656
dc.contributor.referee1.fl_str_mv Souza, Adriano Mendonça
dc.contributor.referee1Lattes.fl_str_mv http://lattes.cnpq.br/5271075797851198
dc.contributor.referee2.fl_str_mv Vicini, Lorena
dc.contributor.referee2Lattes.fl_str_mv http://lattes.cnpq.br/8676745244195312
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/1273044807205979
dc.contributor.author.fl_str_mv Peripolli, Angélica
contributor_str_mv Zanini, Roselaine Ruviaro
Souza, Adriano Mendonça
Vicini, Lorena
dc.subject.por.fl_str_mv Acidentes de trabalho
Séries temporais
Modelos de Box-Jenkins
topic Acidentes de trabalho
Séries temporais
Modelos de Box-Jenkins
Labour accidents
Time series
Box-Jenkins models
CNPQ::ENGENHARIAS::ENGENHARIA DE PRODUCAO
dc.subject.eng.fl_str_mv Labour accidents
Time series
Box-Jenkins models
dc.subject.cnpq.fl_str_mv 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.issued.fl_str_mv 2016-08-29
dc.date.accessioned.fl_str_mv 2017-01-20
dc.date.available.fl_str_mv 2017-01-20
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dc.identifier.uri.fl_str_mv 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
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