Interpolation is a statistical technique used to estimate unknown values that fall between known values. In the context of epidemiology, interpolation can be a powerful tool for filling in gaps in data. This is particularly important in situations where data collection is incomplete or irregular, but where making informed estimates can significantly improve public health responses.
