Análisis estadístico exploratorio para la prevención de accidentes trabajo, Perú

Descripción del Articulo

Objetivo: Ti analiza the exploratory statistical modeling for the prevention of work accidents, Peru; To calculate the likelihood of work-related accidents over the given time 2019 to 2026 based on the consequences of accidents. Method: Using work accident data from work accident notification report...

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Detalles Bibliográficos
Autor: Sanchez Valerio, Anthony Esteban
Formato: tesis de grado
Fecha de Publicación:2024
Institución:Universidad Peruana Unión
Repositorio:UPEU-Tesis
Lenguaje:español
OAI Identifier:oai:repositorio.upeu.edu.pe:20.500.12840/8400
Enlace del recurso:http://repositorio.upeu.edu.pe/handle/20.500.12840/8400
Nivel de acceso:acceso abierto
Materia:Work accidents
Exploratory analysis
Work accidents in Peru
http://purl.org/pe-repo/ocde/ford#2.07.00
Descripción
Sumario:Objetivo: Ti analiza the exploratory statistical modeling for the prevention of work accidents, Peru; To calculate the likelihood of work-related accidents over the given time 2019 to 2026 based on the consequences of accidents. Method: Using work accident data from work accident notification reports that occurred between 2019 and 2023, the study used a time series design.. 2019-2023. Results: The variables resulting from accidents in the periods 2019-2023, work accidents were more dominated by minor accidents with 82,603 cases, after the projection it was found that work accidents with minor consequences rose to 101,139 cases. For the years 2019-2023, the work accidents with the least consequences were partial permanent with 18,365 cases between the years 2019-2023, while in the years 2024-2026 they had 0 cases. Likewise, with temporary partial, with 47,886 cases in 2019-2023 to 2,947 cases in 2024-2026. In the 3 years, the results of fatal accidents obtained an increase in their data from 422 to 521 cases. Conclusions: Considering the overall effects of accidents, the trends and projections for 2024–2026 showed a decline in work-related incidents.
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