Data-driven decision-making allows for the efficient allocation of resources by utilizing real-time data to identify areas of need. Epidemiologists can use various types of data, such as infection rates, demographic information, and healthcare capacity, to make informed decisions. For example, during an outbreak, data analytics can help prioritize areas for vaccination campaigns or allocate medical supplies to regions experiencing the highest rates of infection.
