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BACKGROUND: COVID-19 was first reported in December 2019 in Wuhan, China. With the rapid spread of the virus, the World Health Organization (WHO) in March 2020 declared the initial outbreak of the disease a pandemic. OBJECTIVE: To assess the challenges and consequences of working from home on worker health during the COVID-19 pandemic. METHOD: Cross-sectional and descriptive study developed in Curitiba, Paraná, Brazil, from December 2020 to January 2021. An online questionnaire was used to interview workers Working from Home and later a statistical analysis was performed. RESULTS: 327 workers from various fields of activity participated mainly from the south of the country, women, and who develop activities in education. In addition, results show anxiety and/or irritability, weight gain, discouragement, headaches and muscle and joint problems. CONCLUSION: Most participants found an increase in working hours Working from Home, with several breaks during the day and adequate furniture. However, there was worsening of physical pain and changes in symptoms of anxiety, weight gain, discouragement and headaches.

Objective: to compare the use of the RULA observational method, with the postural analysis using Kinebot software, of workers in manufacturing stations. Background: The RULA is among the tools most used by ergonomists, but in search of improving ergonomic analyses, new instruments have emerged, among them, video-based systems. Kinebot is a software that evaluates the worker through filming and digital recognition, capable of generating a volume of information and detail so superior to the methods currently used. Method: 50 manufacturing positions from an industry in Paraná were selected, in which both methods were applied separately, to then compare the data obtained in the analyses, being the observations in the application, the scores referring to the trunk, neck, left and right forearm, left and right arm, and level of final action. Results: Kinebot was much simpler and easy to apply, there was positive and weak correlation for trunk, neck, right forearm, left and right arm. For the variables left forearm and final action level, there was a positive and moderate correlation (R=0.36, p<0.001; R=0.58, p<0.001). Conclusions: the subjectivity of a conventional method has its evaluation levels decreased with the expansion of technological tools. Kinebot has proved easier and with the results being RULA-compliant. Application: the practical impact of this work is to bring the importance of studies that prove the use of technology in favor of a complete ergonomic analysis without subjectivity.

This study aims to evaluate the reliability and establish procedures for the use of digital photogrammetry in anthropometric measurements of the human hand. The methodology included the construction of a platform to allow the placement of the hand always equivalent to a distance of the camera lens and to annul the effects of parallax. We developed a software to perform the measurements from the images and built up a subject of proof in a cast from a negative mold, this object was subjected to measurements with digital photogrammetry using the data collection platform in caliper and the Coordinate Measuring Machine (MMC). The results of the application of photogrammetry in the data collection segment hand, allow us to conclude that photogrammetry is an effective presenting precision coefficient below 0.940. Within normal and acceptable values, given the magnitude of the data used in anthropometry. It was concluded photogrammetry then be reliable, accurate and efficient for carrying out anthropometric surveys of population, and presents less difficulty to collect in-place