Biosecurity through Public Health System Design.

Beyeler, Walter E.; Finley, Patrick D.; Arndt, William; Walser, Alex Christian; Mitchell, Michael David

doi:10.2172/1333488

Title: Biosecurity through Public Health System Design.

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Abstract

We applied modeling and simulation to examine the real-world tradeoffs between developingcountry public-health improvement and the need to improve the identification, tracking, and security of agents with bio-weapons potential. Traditionally, the international community has applied facility-focused strategies for improving biosecurity and biosafety. This work examines how system-level assessments and improvements can foster biosecurity and biosafety. We modeled medical laboratory resources and capabilities to identify scenarios where biosurveillance goals are transparently aligned with public health needs, and resource are distributed in a way that maximizes their ability to serve patients while minimizing security a nd safety risks. Our modeling platform simulates key processes involved in healthcare system operation, such as sample collection, transport, and analysis at medical laboratories. The research reported here extends the prior art by provided two key compone nts for comparative performance assessment: a model of patient interaction dynamics, and the capability to perform uncertainty quantification. In addition, we have outlined a process for incorporating quantitative biosecurity and biosafety risk measures. Two test problems were used to exercise these research products examine (a) Systemic effects of technological innovation and (b) Right -sizing of laboratory networks.

Authors:

Beyeler, Walter E. ^[1]; Finley, Patrick D. ^[1]; Arndt, William ^[1]; Walser, Alex Christian ^[1]; Mitchell, Michael David ^[1]

Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

Publication Date:: Tue Nov 01 00:00:00 EDT 2016

Research Org.:: Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

Sponsoring Org.:: USDOE National Nuclear Security Administration (NNSA)

OSTI Identifier:: 1333488

Report Number(s):: SAND2016-11788R
649345

DOE Contract Number:: AC04-94AL85000

Resource Type:: Technical Report

Country of Publication:: United States

Language:: English

Subject:: 60 APPLIED LIFE SCIENCES

Citation Formats


                    Beyeler, Walter E., Finley, Patrick D., Arndt, William, Walser, Alex Christian, and Mitchell, Michael David. Biosecurity through Public Health System Design..  United States: N. p., 2016. 
        Web.  doi:10.2172/1333488.

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                    Beyeler, Walter E., Finley, Patrick D., Arndt, William, Walser, Alex Christian, & Mitchell, Michael David. Biosecurity through Public Health System Design..  United States.  https://doi.org/10.2172/1333488

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                    Beyeler, Walter E., Finley, Patrick D., Arndt, William, Walser, Alex Christian, and Mitchell, Michael David. 2016.  
        "Biosecurity through Public Health System Design.".  United States.  https://doi.org/10.2172/1333488.  https://www.osti.gov/servlets/purl/1333488.

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@article{osti_1333488,

  title        = {Biosecurity through Public Health System Design.},

  author       = {Beyeler, Walter E. and Finley, Patrick D. and Arndt, William and Walser, Alex Christian and Mitchell, Michael David},

  abstractNote = {We applied modeling and simulation to examine the real-world tradeoffs between developingcountry public-health improvement and the need to improve the identification, tracking, and security of agents with bio-weapons potential. Traditionally, the international community has applied facility-focused strategies for improving biosecurity and biosafety. This work examines how system-level assessments and improvements can foster biosecurity and biosafety. We modeled medical laboratory resources and capabilities to identify scenarios where biosurveillance goals are transparently aligned with public health needs, and resource are distributed in a way that maximizes their ability to serve patients while minimizing security a nd safety risks. Our modeling platform simulates key processes involved in healthcare system operation, such as sample collection, transport, and analysis at medical laboratories. The research reported here extends the prior art by provided two key compone nts for comparative performance assessment: a model of patient interaction dynamics, and the capability to perform uncertainty quantification. In addition, we have outlined a process for incorporating quantitative biosecurity and biosafety risk measures. Two test problems were used to exercise these research products examine (a) Systemic effects of technological innovation and (b) Right -sizing of laboratory networks.},

  doi          = {10.2172/1333488},

  url          = {https://www.osti.gov/biblio/1333488},
  journal      = {},
number       = ,

  volume       = ,

  place        = {United States},

  year         = {Tue Nov 01 00:00:00 EDT 2016},

  month        = {Tue Nov 01 00:00:00 EDT 2016}

}

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