Understanding interactions is crucial for several reasons:
- Identifying High-Risk Groups: By recognizing how different factors interact, we can identify subpopulations that are at particularly high risk for certain diseases. This can be critical for targeted interventions.
- Improving Predictive Models: Accounting for interactions can enhance the accuracy of epidemiological models used for predicting disease outcomes.
- Guiding Public Health Policies: Knowledge of interactions can help in formulating more effective public health policies and interventions by addressing multiple risk factors simultaneously.
