In recent centuries, millions of infrastructures have been built worldwide with a projected service life of a hundred years. Many of these structures, however, are now aging and face potential risks from natural hazards like earthquakes. The consequences of such events can lead to catastrophic damage and substantial loss to these lifeline infrastructures. Consequently, there is a growing demand for construction solutions that focus on disaster management and mitigation scheme for these critical infrastructure systems. Currently, the management of most infrastructure relies on manual inspection and non-destructive testing methods, resulting in low efficiency. While various studies have explored the integration of intelligent technologies to address different aspects of infrastructure, including design, construction, however, systematic scheme of health assessment of existing infrastructure leading to efficient disaster management and mitigation is still lacking. The use of Digital Twins in the industry has gained substantial momentum. Digital Twin, a cutting-edge technology for structural health monitoring, offers a promising solution for multi-stage management challenges. This study aims to provide a thorough review of the most recent advancements in the application of Digital Twins for infrastructure health assessment, disaster management and mitigation. By exploring the merits, limitations, and technical feasibility, the study seeks to contribute valuable insights to the ongoing discourse on the role of Digital Twins in infrastructure health assessment and disaster management.