An associate professor at the Colorado State University and his students have developed a model which enables a city’s essential services to understand how quickly its healthcare system can recover from a natural disaster or pandemic. The research team visualized healthcare systems as a highly compounded network with nodes of different functionalities including number of beds, staff, facilities, critical equipment and state of roads for ambulances to travel on. They also considered peripherals such as the availability of water, power and telecommunication and quality metrics like patient waiting time and customer satisfaction. The completed framework was tested on Centerville – an imaginary, virtual US community of 50,000 residents. An earthquake scenario was applied to test the model’s capabilities and also the impacts of decisions made that allowed the community to recover more quickly. Of particular relevance to the coronavirus, the model can also identify gaps in hospital resources and potential bottlenecks that hinder pandemic planning.