Public Health Emergency Preparedness
This resource was part of AHRQ's Public Health Emergency Preparedness program, which was discontinued on June 30, 2011, in a realignment of Federal efforts.
Now this resource is supported by the Centers for Disease Control and Prevention (CDC).
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WEILL/CORNELL BIOTERRORISM AND
EPIDEMIC RESPONSE MODEL (BERM)
Table of Contents
| Introduction |
An overview of how hospital and health system officials use BERM in bioterrorism and epidemic emergency response planning. |
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| Getting Started |
A quick run-through on how to use BERM. |
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| 1. User Inputs |
Questions on population, staffing, and response scenario: the basis for calculating staff requirements for community-wide prophylaxis. |
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| 2. Overall Model Outputs |
Model outputs for the proposed prophylaxis campaign, including patient flow, number of clinics, and baseline staff requirements. |
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| 3. Station Specific Staffing |
Station-by-station estimates of the number of core staff needed to operate one of the two basic clinic designs shown in Section 8. |
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| 4. Support Staff Calculations |
Questions to determine the number of support staff (e.g., security) in each clinic. |
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| 5. Summary of Model Results |
Model output, including recommended core and support staff for each clinic and the entire mass prophylaxis campaign. |
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| 6. Staffing Constraints |
This section allows you to adjust the model for limited available staff and calculates the impact of these limitations on model outputs. |
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| 7. Summary of Scenarios |
Modeling assumptions (including processing times/station and response scenario details) for pre-set anthrax and smallpox scenarios. |
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| 8. Clinic Flow Diagrams |
Schematic patient flow plans for clinics designed for non-contagious (e.g., anthrax) and contagious (e.g., smallpox) agents. |
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| 9. Sample Physical Layout |
This section shows a sample layout of the model contagious agent clinic on footprint of high-school basketball court. |
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| 10. Customizable Staffing Model |
For advanced users, this section lets you alter pre-set modeling assumptions via processing time and population parameters. |
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| 11. Technical Appendix |
Explanation of the scientific foundation for the operations research concepts and mathematical assumptions underlying this model. |
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