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Time Motion Studies for Conduct of Population Monitoring During Functional Radiological Exercises at Community Reception Centers

Published online by Cambridge University Press:  10 October 2022

Lauren Finklea*
Affiliation:
Radiation Studies Section, National Center for Environmental Health, US Centers for Disease Control and Prevention, Atlanta, GA, USA
Adela Salame-Alfie
Affiliation:
Radiation Studies Section, National Center for Environmental Health, US Centers for Disease Control and Prevention, Atlanta, GA, USA
Armin Ansari
Affiliation:
Radiation Studies Section, National Center for Environmental Health, US Centers for Disease Control and Prevention, Atlanta, GA, USA
*
Corresponding author: Lauren Finklea, Email: LNA8@cdc.gov.

Abstract

Objective:

The objectives of this study were to: validate current capacity estimates for radiological emergency response by collecting time motion observations from stations that would be used for screening and decontaminating populations, and use collected times to evaluate potential impact on current throughput calculations.

Methods:

Time observations were collected at 11 functional radiation exercises across the country and aggregated for analysis for population monitoring activities, including contamination screening, decontamination, and registration. Collected times were compared to published estimates in current planning guidance, and evaluated to determine the suitability of using exercise observations to estimate throughput capacity.

Results:

2532-time observations were collected from 11 functional exercises. Of those, 2380 were validated and used for analysis. Contamination screening times varied greatly from current guidance, ranging from 19% below to 267% above existing estimates. Measurements indicate that capacity to perform contamination screening is significantly overestimated when using current estimates of service times and calculations when compared to observed aggregate service times.i

Conclusion:

Aggregate service time data presented in this study can be used to yield a more realistic estimate of capacity to respond to a radiation event.

Type
Original Research
Creative Commons
This is a work of the US Government and is not subject to copyright protection within the United States. Published by Cambridge University Press on behalf of Society for Disaster Medicine and Public Health, Inc.
Copyright
© Centers for Disease Control and Prevention, 2022.

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