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The activity of waste collection is fundamental for preserving human health and the environment. As the world population increases, so does the waste production, consequently leading to a higher number of professionals involved in the collection activity. The objective of this study was to identify the main causes of accidents in urban waste collection and to verify if the implementation of containers would reduce the number of accidents in the sector. The causes were identified by analyzing accidents in two waste-collection companies for 4 years. Company A had 3,859 employees with 756 registered accident cases, while company B had 2020 workers with 189 cases. In total, it was analyzed 945 accident cases from urban waste collection. One municipality from company A which implemented the highest number of containers was studied thoroughly to verify if the implementation of containers reduces the number of accidents. The analysis shows that the household collection had the highest accident rate, with 65.61%. Sharp materials and falls were the leading causes of accidents, representing 53% in the company A and 62% in the company B. After containers implementation, the number of accidents caused by sharp materials and falls decreased from 37 without the container in 2014, to 18 with the container in 2015, and 11 with the container in 2016. It was concluded that the implementation of containers improves occupational safety and health during the urban cleaning process. Further studies should be conducted in order to improve the working conditions in the urban cleaning sector.

Accidents at work are events that bring losses to the employee, employer and society, both economically and socially. Employee training is an important tool for reducing the number of deviations and, consequently, of occupational accidents and diseases, having a crescent in the remote method during the pandemic. Thus, this paper seeks to demonstrate whether the transition to the remote method of training has changed or altered the way workers act safely in the process of electrical network construction. It also establishes guidelines for the adequate use of digital tools in corporate training, and the professional profile of greater adherence to this type of training. The methodology was divided into four parts, as follows: Literature review; field study, where face-to-face and remote training was conducted; evaluation criteria for the workers who participated in the study; and statistical treatment and data analysis. The workers who did the remote theoretical training had an average of 8.6, while those who did the face-to-face training had an average of 8.0. In the practical training, those who were trained remotely had an average score of 9.0, while those trained in person had an average score of 8.0. The professionals trained through virtual platforms showed similar performance compared to those who received traditional training, when we consider the standard deviations of the statistical analysis. The results indicate that there was no loss in the perception of risk for employees trained virtually, however, the cost of in-person training is 26 times higher than that of remote training.

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