 Occupational safety and health is a major challenge in many industries due to the presence of various risk factors, including robotics, automation, and advanced technology. To address these risks, current methods rely heavily on manual labor and expert opinion, which are both time-consuming and subjective. Digital twins, however, offer a promising solution. They use digital representations of physical assets to monitor and control them remotely, providing a safer and more efficient workplace. Furthermore, they enable the collection, processing, and analysis of data related to human workers, allowing for better understanding of their behavior and performance. Despite its potential, developing a human-focused digital twin is still a challenge due to the complexity of integrating various hardware and software components. This paper provides a review of recent research papers on digital twins with a focus on occupational safety and health applications. It highlights the enabling technologies for acquiring human data and representing humans virtually, as well as the objectives of such applications. Finally, it identifies limitations of existing studies and suggests future research directions. This article was authored by Jeansung Park, Dongguli, Jesus A. Jimenez, and others. We're article.tv, links in the description below.