Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2009 Jul-Aug;29(4):438-60.
doi: 10.1177/0272989X09340346. Epub 2009 Jul 15.

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

Affiliations

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

Margaret L Brandeau et al. Med Decis Making. 2009 Jul-Aug.

Abstract

Purpose: Mathematical and simulation models are increasingly used to plan for and evaluate health sector responses to disasters, yet no clear consensus exists regarding best practices for the design, conduct, and reporting of such models. The authors examined a large selection of published health sector disaster response models to generate a set of best practice guidelines for such models.

Methods: . The authors reviewed a spectrum of published disaster response models addressing public health or health care delivery, focusing in particular on the type of disaster and response decisions considered, decision makers targeted, choice of outcomes evaluated, modeling methodology, and reporting format. They developed initial recommendations for best practices for creating and reporting such models and refined these guidelines after soliciting feedback from response modeling experts and from members of the Society for Medical Decision Making.

Results: . The authors propose 6 recommendations for model construction and reporting, inspired by the most exemplary models: health sector disaster response models should address real-world problems, be designed for maximum usability by response planners, strike the appropriate balance between simplicity and complexity, include appropriate outcomes that extend beyond those considered in traditional cost-effectiveness analyses, and be designed to evaluate the many uncertainties inherent in disaster response. Finally, good model reporting is particularly critical for disaster response models.

Conclusions: . Quantitative models are critical tools for planning effective health sector responses to disasters. The proposed recommendations can increase the applicability and interpretability of future models, thereby improving strategic, tactical, and operational aspects of preparedness planning and response.

PubMed Disclaimer

Figures

Figure 1
Figure 1. Health System Disaster Response Modeling
This figure presents the target of health system disaster response modeling. We distinguish between unexpected events and disasters. An unexpected event (e.g., hurricane, earthquake) may not necessarily result in a disaster. A disaster (e.g., war, famine) may not necessarily be an unexpected event. Similarly, public health activities include a broad range of activities, including some (e.g., asthma prevention) that are not relevant to health sector disaster responses. Medical activities, likewise, include a broad range of activities (e.g., routine patient care) that are not relevant to disaster responses. The focus of this paper is models of public health and medical activities that address unexpected disasters.
Figure 2
Figure 2. Model and Reporting Quality
This figure presents the summary assessment of the key quality criteria applied to the included models and the reports describing them.

Similar articles

Cited by

References

    1. Braithwaite RS, Fridsma D, Roberts MS. The cost-effectiveness of strategies to reduce mortality from an intentional release of aerosolized anthrax spores. Med Decis Making. 2006 Mar-Apr;26(2):182–93. - PubMed
    1. Bravata D, McDonald K, Szeto H, et al. A conceptual framework for evaluating information technologies and decision support systems for bioterrorism preparedness and response. Med Decis Making. 2004;24(2):192–206. - PubMed
    1. Hupert N, Mushlin AI, Callahan MA. Modeling the public health response to bioterrorism: using discrete event simulation to design antibiotic distribution centers. Med Decis Making. 2002 Sep-Oct;22(5 Suppl):S17–25. - PubMed
    1. Zhang X, Meltzer MI, Wortley PM. FluSurge--a tool to estimate demand for hospital services during the next pandemic influenza. Med Decis Making. 2006 Nov-Dec;26(6):617–23. - PubMed
    1. Zaric GS, Bravata DM, Holty J-EC, et al. Modeling the logistics of response to anthrax bioterrorism. Med Decis Making. 2008;28:332–50. - PubMed

Publication types

MeSH terms