Occupational injuries in underground coal mining: statistical analysis of data

Simple item page
dc.citation.epage83
dc.citation.rankM33
dc.citation.spage80
dc.contributor.authorIvaz, Jelena
dc.contributor.authorPetrović, Dejan
dc.contributor.authorStolić, Predrag
dc.contributor.authorRadovanović, Mladen
dc.contributor.authorZlatanović, Dragan
dc.contributor.authorStojadinović, Saša
dc.contributor.authorStojković, Pavle
dc.date.accessioned2023-12-21T08:33:23Z
dc.date.available2023-12-21T08:33:23Z
dc.date.issued2023
dc.description.abstractFor employers, occupational accidents are the biggest problem in occupational safety and health. In underground coal mines, where a large number of injuries occur, this problem is even more significant. In order to find a suitable model for the analysis and prediction of occupational accidents, data collection research was conducted in underground coal mines in Serbia. This research took the form of statistical data collection and data collection using a questionnaire. A total of 1051 correctly completed questions were collected from the population of production workers. The descriptive statistics used to process the collected data revealed a central problem related to the safety and health of workers.
dc.identifier.isbn978-86-6305-140-9
dc.identifier.urihttps://ioc.tfbor.bg.ac.rs/public/2023/Proceedings_IOC_2023.pdf
dc.identifier.urihttps://repozitorijum.tfbor.bg.ac.rs/handle/123456789/10
dc.language.isoen
dc.publisherUniversity of Belgrade, Technical Faculty in Bor
dc.rights.licenseCC-BY-NC-ND
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourceProceedings - 54th International October Conference on Mining and Metallurgy - IOC 2023, 18-21 October 2023, Bor Lake, Serbia
dc.subjectinjury
dc.subjectcoal mine
dc.subjectstatistics
dc.titleOccupational injuries in underground coal mining: statistical analysis of data
dc.typeconferenceObject
dc.type.versionpublishedVersion

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Proceedings_IOC_2023-102-105full.pdf
Size:
3.44 MB
Format:
Adobe Portable Document Format
Download

Collections

NIR