A decision tree is a graphical representation of decisions and their possible consequences. It starts with a decision node, which branches out into several decision alternatives. Each alternative leads to chance nodes, which represent possible events and their probabilities. The endpoints or leaf nodes represent the outcomes of these events. By analyzing these trees, epidemiologists can compare the expected utility of various strategies.