Modeling the public health response to bioterrorism: using discrete event simulation to design antibiotic distribution centers.
BACKGROUND
Post-exposure prophylaxis is a critical component of the public health response to bioterrorism. Computer simulation modeling may assist in designing antibiotic distribution centers for this task.


METHODS
The authors used discrete event simulation modeling to determine staffing levels for entry screening, triage, medical evaluation, and drug dispensing stations in a hypothetical antibiotic distribution center operating in low, medium, and high disease prevalence bioterrorism response scenarios. Patient arrival rates and processing times were based on prior mass prophylaxis campaigns. Multiple sensitivity analyses examined the relationship between average staff utilization rate (UR) (i.e., percentage of time occupied in patient contact) and capacity of the model to handle surge arrivals.


RESULTS
Distribution center operation required from 93 staff for the low-prevalence scenario to 111 staff for the high-prevalence scenario to process approximately 1000 people per hour within the baseline model assumptions. Excess capacity to process surge arrivals approximated (1-UR) for triage staffing.


CONCLUSIONS
Discrete event simulation modeling is a useful tool in developing the public health infrastructure for bioterrorism response. Live exercises to validate the assumptions and outcomes presented here may improve preparedness to respond to bioterrorism.
D000900:Anti-Bacterial Agents / Q000600:supply & distribution*; D023482:Bioterrorism / Q000517:prevention & control* / Q000706:statistics & numerical data; D003198:Computer Simulation; D004189:Disaster Planning / Q000458:organization & administration*; D006801:Humans; D008403:Mass Screening / Q000458:organization & administration; D008509:Medication Systems / Q000458:organization & administration*; D010561:Personnel Staffing and Scheduling / Q000458:organization & administration*; D010594:Pharmacies / Q000458:organization & administration*; D015995:Prevalence; D015980:Public Health Practice; D012680:Sensitivity and Specificity; D013997:Time Factors; D014218:Triage / Q000458:organization & administration; D014481:United States / Q000453:epidemiology; D016526:Workload
D000900:Anti-Bacterial Agents