Table 1 A summary of the survey results on the challenges of practical use of PI models, as perceived by public health practitioners
Challenge | Description of the challenge |
|---|---|
A1. Validity of data support | Model parameters need to be derived from updated demographical and epidemiological data |
A2. Credibility and validity of assumptions | Models need to use credible and valid assumptions |
A3. Represent human behavior | Models need to incorporate human behavior |
A4. Accessibility | Models need to be easily accessible and run on personal computers |
A5. Scalability | Models need to be scalable to population specific data from regions of all sizes |
A6. Awareness | Available models and best practices need to be disseminated among the practitioners |
A7. Action plan | Need to translate models into uniform preparedness and response action plans |
A8. Lack of resources | Need to fund staff allocation and specialized training for model implementation |
A9. Political implications | Models need to consider second and third tier social implications of containment strategies |
A10. Lack of mandates for models | State and federal agencies need to develop mandates for use of model-based strategies |