Closeness centrality measures the average length of the shortest path from a node to all other nodes in a network. In the context of epidemiology, nodes often represent individuals or locations, and edges represent interactions through which diseases can be transmitted. A node with high closeness centrality can quickly reach other nodes, making it a critical point for intervention strategies.
