Browsing by Author "Lima, Killian"
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- MIARforest Reproducibility and Reliability for Assessing Occupational Risks in the RainforestPublication . Lima, Killian; Castro, Ana C. Meira; Baptista, J. SantosThe Method for the Integrated Assessment of Risks for rainforest (MIARforest) is a specific methodology for assessing the risk of occupational accidents associated with working in native tropical forests. MIARforest was validated for the results’ reproducibility and the reliability of calculated risk levels through the Delphi approach. Two rounds of questionnaires illustrating ten scenarios of activities associated with the logging process in the Eastern Amazon’s native rainforest (Brazil) were presented to forestry and occupational health and safety (OHS) experts. In the first round, the questionnaire was answered anonymously by 55 experts, and in the second, by 46. A percentage of agreement of at least 80% in each question was considered to close the process. Questions that did not meet the criterion in the first round were reassessed in the second round. The obtained results lead to the conclusion that MIARforest, an occupational accident risk assessment tool, has been effectively validated, demonstrating inter-rater reproducibility and reliability in determining risk values. These results highlight the objectivity and reliability of MIARforest.
- Occupational Risk Assessment in Native Rainforest Management (MIARforest)—Parameters Definition and ValidationPublication . Lima, Killian; Meira Castro, Ana C.; Baptista, João SantosMaintaining native rainforests as a sustainable ecosystem and their resilience to external pressures involves their economic profitability as a natural resource of unique and renewable products. For this purpose, new approaches have been developed and refined. This work seeks to contribute in this direction in the context of occupational safety and health (OSH) by presenting a new method for integrated assessment of risks for rainforests (MIARforest). The MIARforest is based on the MIAR, a method that has shown promising results in occupational risk assessment in different industrial sectors. Its parameters were discussed and assessed to improve their relevance, wording and risk assessment through the Delphi methodology by a panel of 62 experts in forestry and OSH who responded independently to questionnaires made available through Google Forms. A consensus of over 79% among the experts was reached in two rounds. This result highlights the high objectivity and the low percentage of dubious possible interpretations of the parameters and sub-parameters of this occupational risk assessment method.