1. Scenario Development: Creating hypothetical but plausible scenarios that could stress the public health system. These scenarios might include sudden outbreaks of infectious diseases, natural disasters, or bioterrorism events.
2. Simulation Models: Utilizing epidemiological models to simulate the scenarios. Models such as SEIR (Susceptible, Exposed, Infectious, Recovered) are commonly used to understand disease dynamics.
3. Data Analysis: Analyzing real-world data to model the impact of the hypothetical scenarios. This includes looking at historical data, current trends, and potential future developments.
4. Evaluation: Assessing the outcomes of the simulations to identify weaknesses in the current public health infrastructure and response plans.
5. Recommendations: Providing actionable recommendations based on the findings to improve system resilience and preparedness.
