Literature DB >> 12369227

Modeling the public health response to bioterrorism: using discrete event simulation to design antibiotic distribution centers.

Nathaniel Hupert1, Alvin I Mushlin, Mark A Callahan.   

Abstract

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.

Entities:  

Mesh:

Substances:

Year:  2002        PMID: 12369227     DOI: 10.1177/027298902237709

Source DB:  PubMed          Journal:  Med Decis Making        ISSN: 0272-989X            Impact factor:   2.583


  13 in total

1.  Making the case for laws that improve health: a framework for public health law research.

Authors:  Scott Burris; Alexander C Wagenaar; Jeffrey Swanson; Jennifer K Ibrahim; Jennifer Wood; Michelle M Mello
Journal:  Milbank Q       Date:  2010-06       Impact factor: 4.911

2.  Use of an agent-based simulation model to evaluate a mobile-based system for supporting emergency evacuation decision making.

Authors:  Yu Tian; Tian-Shu Zhou; Qin Yao; Mao Zhang; Jing-Song Li
Journal:  J Med Syst       Date:  2014-10-30       Impact factor: 4.460

3.  Systems engineering methods for enhancing the value stream in public health preparedness: the role of Markov models, simulation, and optimization.

Authors:  Emine Yaylali; Julie Simmons Ivy; Javad Taheri
Journal:  Public Health Rep       Date:  2014       Impact factor: 2.792

4.  Operational evaluation of high-throughput community-based mass prophylaxis using Just-in-time training.

Authors:  James D Spitzer; Nathaniel Hupert; Jonathan Duckart; Wei Xiong
Journal:  Public Health Rep       Date:  2007 Sep-Oct       Impact factor: 2.792

5.  Recommendations for modeling disaster responses in public health and medicine: a position paper of the society for medical decision making.

Authors:  Margaret L Brandeau; Jessica H McCoy; Nathaniel Hupert; Jon-Erik Holty; Dena M Bravata
Journal:  Med Decis Making       Date:  2009-07-15       Impact factor: 2.583

6.  Cost-effectiveness comparison of response strategies to a large-scale anthrax attack on the chicago metropolitan area: impact of timing and surge capacity.

Authors:  Demetrios N Kyriacou; Debra Dobrez; Jorge P Parada; Justin M Steinberg; Adam Kahn; Charles L Bennett; Brian P Schmitt
Journal:  Biosecur Bioterror       Date:  2012-07-30

7.  Using autoregressive integrated moving average (ARIMA) models to predict and monitor the number of beds occupied during a SARS outbreak in a tertiary hospital in Singapore.

Authors:  Arul Earnest; Mark I Chen; Donald Ng; Leo Yee Sin
Journal:  BMC Health Serv Res       Date:  2005-05-11       Impact factor: 2.655

8.  Systems modeling in support of evidence-based disaster planning for rural areas.

Authors:  Mama Hoard; Jack Homer; William Manley; Paul Furbee; Arshadul Haque; James Helmkamp
Journal:  Int J Hyg Environ Health       Date:  2005       Impact factor: 5.840

9.  Modelling mass casualty decontamination systems informed by field exercise data.

Authors:  Joseph R Egan; Richard Amlôt
Journal:  Int J Environ Res Public Health       Date:  2012-10-16       Impact factor: 3.390

10.  In Silico Modeling in Infectious Disease.

Authors:  Silvia Daun; Gilles Clermont
Journal:  Drug Discov Today Dis Models       Date:  2007-10-01
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.