What are the Challenges in Making Accurate Predictions?
Despite the advancements, several challenges exist in making accurate epidemiological predictions: 1. Data Quality: Incomplete or biased data can significantly affect the accuracy of predictions. 2. Model Selection: Choosing the right model is crucial, as different models have different assumptions and limitations. 3. Parameter Uncertainty: Many models require parameters that can be difficult to estimate accurately. 4. Dynamic Nature of Diseases: The behavior of diseases can change over time due to factors like mutations, making long-term predictions challenging.
