What are the Challenges in Predictive Epidemiology?
Several challenges can affect the accuracy and reliability of predictive models:
Data quality: Incomplete or inaccurate data can lead to flawed predictions. Model assumptions: Incorrect assumptions can skew results. Uncertainty: Unpredictable factors, such as human behavior, can introduce uncertainty. Ethical considerations: Ensuring privacy and ethical use of data is crucial.
