How does unpredictability affect disease modeling?
Unpredictability poses significant challenges to [disease modeling](). Models rely on accurate data and assumptions to predict the course of an outbreak. However, when data is incomplete or when variables change unexpectedly, the reliability of these models diminishes. For example, during the early stages of the [COVID-19 pandemic](), models had to be frequently updated as new information about the virus and its transmission became available.
