Literature DB >> 18349432

Modeling the logistics of response to anthrax bioterrorism.

Gregory S Zaric1, Dena M Bravata, Jon-Erik Cleophas Holty, Kathryn M McDonald, Douglas K Owens, Margaret L Brandeau.   

Abstract

BACKGROUND: A bioterrorism attack with an agent such as anthrax will require rapid deployment of medical and pharmaceutical supplies to exposed individuals. How should such a logistical system be organized? How much capacity should be built into each element of the bioterrorism response supply chain?
METHODS: The authors developed a compartmental model to evaluate the costs and benefits of various strategies for preattack stockpiling and postattack distribution and dispensing of medical and pharmaceutical supplies, as well as the benefits of rapid attack detection.
RESULTS: The authors show how the model can be used to address a broad range of logistical questions as well as related, nonlogistical questions (e.g., the cost-effectiveness of strategies to improve patient adherence to antibiotic regimens). They generate several key insights about appropriate strategies for local communities. First, stockpiling large local inventories of medical and pharmaceutical supplies is unlikely to be the most effective means of reducing mortality from an attack, given the availability of national and regional supplies. Instead, communities should create sufficient capacity for dispensing prophylactic antibiotics in the event of a large-scale bioterror attack. Second, improved surveillance systems can significantly reduce deaths from such an attack but only if the local community has sufficient antibiotic-dispensing capacity. Third, mortality from such an attack is significantly affected by the number of unexposed individuals seeking prophylaxis and treatment. Fourth, full adherence to treatment regimens is critical for reducing expected mortality.
CONCLUSIONS: Effective preparation for response to potential bioterror attacks can avert deaths in the event of an attack. Models such as this one can help communities more effectively prepare for response to potential bioterror attacks.

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Year:  2008        PMID: 18349432     DOI: 10.1177/0272989X07312721

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


  7 in total

1.  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

2.  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

Review 3.  Systematic review of strategies to manage and allocate scarce resources during mass casualty events.

Authors:  Justin W Timbie; Jeanne S Ringel; D Steven Fox; Francesca Pillemer; Daniel A Waxman; Melinda Moore; Cynthia K Hansen; Ann R Knebel; Richard Ricciardi; Arthur L Kellermann
Journal:  Ann Emerg Med       Date:  2013-03-20       Impact factor: 5.721

4.  Availability of a pediatric trauma center in a disaster surge decreases triage time of the pediatric surge population: a population kinetics model.

Authors:  Erik R Barthel; James R Pierce; Catherine J Goodhue; Henri R Ford; Tracy C Grikscheit; Jeffrey S Upperman
Journal:  Theor Biol Med Model       Date:  2011-10-12       Impact factor: 2.432

Review 5.  The current state of bioterrorist attack surveillance and preparedness in the US.

Authors:  Oliver Grundmann
Journal:  Risk Manag Healthc Policy       Date:  2014-10-09

6.  Modeling Tool for Decision Support during Early Days of an Anthrax Event.

Authors:  Gabriel Rainisch; Martin I Meltzer; Sean Shadomy; William A Bower; Nathaniel Hupert
Journal:  Emerg Infect Dis       Date:  2017-01       Impact factor: 6.883

Review 7.  Maintaining efficient logistics and supply chain management operations during and after coronavirus (COVID-19) pandemic: learning from the past experiences.

Authors:  Ubaid Illahi; Mohammad Shafi Mir
Journal:  Environ Dev Sustain       Date:  2021-01-19       Impact factor: 3.219

  7 in total

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