Population impact measures are like a way of measuring how big of an impact something has on a whole group of people. So, let's say we have a medicine that can cure a disease, and we want to see how much of a difference it would make if we gave it to everyone who has the disease.
One way we could measure this is by looking at how many people would be affected if we didn't give them the medicine. This is called the "cumulative incidence," which is a fancy way of saying how many people would get the disease if they didn't get the medicine.
Another way we could measure the impact is by looking at how many people would be saved by giving them the medicine. This is called the "attributable risk reduction," which means how much we can reduce the risk of getting the disease by giving them the medicine.
We can also calculate something called the "number needed to treat," which means how many people we would have to give the medicine to in order to prevent one case of the disease.
All of these measures help us understand how much of a difference we can make by giving people the medicine, and they help us make decisions about how to use our resources to help as many people as possible.