In order to validate the IoCT, an integrated COVID-19 solution was deployed and evaluated to monitor and analyze the risks of COVID-19 transmission in workplace reopening. For example, the following criteria may increase the risk of COVID-19 spread in an office room: If the room was used and the density of people was not regulated; if a sick person was present; or if people were not following social distancing rules etc. The proposed IoCT is able to access the risk history of each room using BLE proximity, deep learning-enabled cameras, and smart audio sensors. If the risk of spread in some rooms were high, appropriate alerts would be sent and received to shut down and disinfect the actionable list of contaminated places in order to prevent further transmission. This proposed IoCT was deployed using hybrid edge and cloud computing. The Calgary Centre for Innovative Technology (CCIT) building (with an area of 9530 m2) located in the University of Calgary campus [24] was used for a real-life testing scenario. The outcome of this solution will be useful for the protection of building staff and visitors as it integrates information-based solutions for real-time situational awareness and early warnings. The IoCT improves both the quality and speed of pandemic emergency response by enabling IoT system interoperability and unlocking necessary information for real-time decision making. The use of open-source software as well as the standard nature of this research boosts its usability as an international tool during the COVID-19 pandemic.