Health authorities worked to lower death rates in places worst impacted by the virus by using analytical tools to more efficiently transfer available bed space and hospital resources, even to adjacent health systems. These analytical approaches include predicting the number of affected people who will require medical intervention and the amount of care that will be required, using scenario modelling to forecast the number of caregivers needed, and fine-tuning epidemiological models and using them to forecast COVID-19 infections in a given location. The analytical results based on the progressively created massive amounts of data have played a significant role in people monitoring, early warning of high-risk regions, screening of asymptomatic possible infections, medication research, information release, and policy creation.