Examining the CDCynergy Event Assessment Tool
An investigation of the anthrax crisis in Boca Raton, Florida
Bibliographic Data
| ID | 4812644 |
|---|---|
| Authors | J J Mcintyre (0000-0001-9292-8081, University of Arkansas at Little Rock), Steven Venette (0000-0002-9897-2259, University of Southern Mississippi) |
| Year | 2006 |
| Volume | 30 |
| Issue | 3 |
| Pages | 351-363 |
| Publication date | 2006-09-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Disasters (JOURNAL) |
| Journal identifiers | ISSN: 0361-3666 • E-ISSN: 1467-7717 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/j.0361-3666.2005.00325.x |
| PMID | 16911433 |
| OpenAlex | W1530563385 |
| Language | EN |
| Citations received | 2 |
| References cited | 8 |
This paper examines the dependability of the Event Assessment Tool over time. The latter is part of a CD-ROM-Emergency Risk Communication CDCynergy-distributed primarily to public information officers in the United States by the Centers for Disease Control and Prevention. The Event Assessment Tool is designed to aid emergency professionals in identifying the magnitude of a crisis event and to suggest appropriate actions to confront such a situation. Applied twice during the 2001 anthrax bioterrorism crisis in Boca Raton, Florida, the tool functioned in a binary manner by first indicating a moderate crisis level (on 4 October) and then four days later (on 8 October) a highly intense crisis, suggesting that it is time sensitive. This anthrax event provides an opportunity for crisis and disaster managers to understand the dynamic nature of crises. Rapid changes during these types of events suggest that any metric used to predict intensity must account for this variability. Additional limitations and implications of the tool are discussed
Business · Computer security · Crisis management · Dependability · Environmental health · Event (particle physics · Medical emergency · Metric (unit · Operations management · Physics · Poison control · Political science · Risk analysis (engineering · Computer Science · Data-Driven Disease Surveillance · Disaster Management and Resilience · Engineering · Law · Medicine · Risk Perception and Management
| Citations per year | 0.67 |
|---|---|
| Citation span | 2023 - 2025 (3) |
| Highly cited | No |