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Designing the Response to an Anthrax Attack

Author

Listed:
  • Mark H. Whitworth

    (The Center for Emergency Response Analytics, 1776 Massachusetts Avenue, Cambridge, Massachusetts 02140)

Abstract

Federal, state, and local planners are developing plans for large-scale campaigns to dispense medications in response to bioterrorist attack. The plans must integrate supply chain operations, administrative and clinical processes, and client logistics. The Center for Emergency Response Analytics (CERA) used discrete-event simulation to help one community develop its plan for responding to an anthrax attack. CERA’s simulation models enabled evaluation of candidate points of dispensing (PODs), alternative dispensing processes, staffing plans, and traffic-management strategies. CERA used sensitivity analysis to ensure that the plan was robust---that it would work even if some of the underlying assumptions were wrong. CERA determined how many PODs the community would need, how to staff them, and how to manage client traffic and parking.

Suggested Citation

  • Mark H. Whitworth, 2006. "Designing the Response to an Anthrax Attack," Interfaces, INFORMS, vol. 36(6), pages 562-568, December.
    • Handle: RePEc:inm:orinte:v:36:y:2006:i:6:p:562-568
    DOI: 10.1287/inte.1060.0241
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    Citations

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    Cited by:

    1. Margaret L. Brandeau, 2019. "OR Forum—Public Health Preparedness: Answering (Largely Unanswerable) Questions with Operations Research—The 2016–2017 Philip McCord Morse Lecture," Operations Research, INFORMS, vol. 67(3), pages 700-710, May.
    2. Alain, Guinet & Angel, Ruiz, 2016. "Modeling the logistics response to a bioterrorist anthrax attackAuthor-Name: Wanying, Chen," European Journal of Operational Research, Elsevier, vol. 254(2), pages 458-471.
    3. Michael A. Hamilton & Tao Hong & Elizabeth Casman & Patrick L. Gurian, 2015. "Risk‐Based Decision Making for Reoccupation of Contaminated Areas Following a Wide‐Area Anthrax Release," Risk Analysis, John Wiley & Sons, vol. 35(7), pages 1348-1363, July.
    4. Ubaid Illahi & Mohammad Shafi Mir, 2021. "Maintaining efficient logistics and supply chain management operations during and after coronavirus (COVID-19) pandemic: learning from the past experiences," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(8), pages 11157-11178, August.
    5. Duijzer, Lotty Evertje & van Jaarsveld, Willem & Dekker, Rommert, 2018. "Literature review: The vaccine supply chain," European Journal of Operational Research, Elsevier, vol. 268(1), pages 174-192.
    6. Bożena Mielczarek, 2016. "Review of modelling approaches for healthcare simulation," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 26(1), pages 55-72.
    7. Feng, Keli & Bizimana, Emmanuel & Agu, Deedee D. & Issac, Tana T., 2012. "Optimization and Simulation Modeling of Disaster Relief Supply Chain: A Literature Review," MPRA Paper 58204, University Library of Munich, Germany.
    8. Hanane Allioui & Azzeddine Allioui & Youssef Mourdi, 2024. "Maintaining effective logistics management during and after COVID‑19 pandemic: survey on the importance of artificial intelligence to enhance recovery strategies," OPSEARCH, Springer;Operational Research Society of India, vol. 61(2), pages 918-962, June.

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