Los Angeles, London, New Delhi, Singapore and Washington DC (July 27, 2009) According to a study in a special issue of Medical Decision Making, a large-scale, covert anthrax attack on a large city would overwhelm hospital resources even with an extremely effective public health response, primarily because of expected delays in detecting the attack and initiating a response to it.
The article "Predicting Hospital Surge after a Large-Scale Anthrax Attack: A Model-Based Analysis of CDC's Cities Readiness Initiative Prophylaxis Recommendations," examines one of the CDC's principal bioterrorism-response programs, the Cities Readiness Initiative (CRI), a program that recommends the medical countermeasures necessary to minimize the hospital surge resulting from anthrax-related illness and response in the first two days after a major bioterrorism attack.
The researchers found that a CRI-compliant prophylaxis campaign starting two days after exposure would protect as many as 86% of exposed individuals from illness. However, each additional day needed to complete the campaign would result in as much as 3% more hospitalizations in the exposed population. Unsustainable levels of hospitalizations would result from delays in detecting and initiating response to large-scale, covert aerosol anthrax releases in a major city, even with highly effective mass prophylaxis campaigns.
The article, written by Nathaniel Hupert, incorporates some of the latest type of modeling techniques scientists use in the disaster preparedness.field. Such models have become increasingly important to public health officials and hospital administrators. To improve the consistency and quality of these models, the Society for Medical Decision Making convened experts to recommend best practices for modeling the public health response to a terror attack. Their article, also published in the current issue of Medical Decision Making, is entitled
The authors examined a large selection of published mathematical and simulation health sector disaster response models to generate a set of best practice guidelines. They made several recommendations, including striking the appropriate balance between simplicity and complexity, designing a plan to evaluate the many uncertainties inherent in disaster response, and good model reporting of the disaster response.
This research set out to determine the best way a clinic could vaccinate as many as 15,000 clients in 17 hours, including such factors as how to best configure the personnel to maximize the number of clients vaccinated; and to estimate the costs and revenue of such an undertaking. The researchers found that it was possible for the clinic to reach its target and that using a computer simulation could help them determine the most efficient use of staff, machinery, supplies, and time.
"How hospitals and public health agencies are prepared for an attack--and how they respond to the surge in patients seeking care--will determine our success in containing an attack if one happens."" said Mark Helfand, editor of Medical Decision Making.
These articles in the July/August issue of Medical Decision Making on "Bioterrorism and Disaster Preparedness" are being made freely available by SAGE for a limited time at:
"Predicting Hospital Surge after a Large-Scale Anthrax Attack: A Model-Based Analysis of CDC's Cities Readiness Initiative Prophylaxis Recommendations" by Nathaniel Hupert, MD, MPH, Daniel Wattson, BS, Jason Cuomo, MPH, Eric Hollingsworth, BS, Kristof Neukermans, BA, MBA, and Wei Xiong, PhD http://mdm.sagepub.com/cgi/reprint/29/4/424
"Recommendations for Modeling Disaster Responses in Public Health and Medicine: A Position Paper of the Society for Medical Decision Making" by Margaret L. Brandeau, PhD, Jessica H. McCoy, MS, Nathaniel Hupert, MD, MPH, Jon-Erik Holty, MD, MS, Dena M. Bravata, MD, MS http://mdm.sagepub.com/cgi/rapidpdf/0272989X09340346v1
"Evaluating the Capability and Cost of a Mass Influenza and Pneumococcal Vaccination Clinic via Computer Simulation" by Michael L. Washington, PhD http://mdm.sagepub.com/cgi/rapidpdf/0272989X09333126v1
Medical Decision Making (MDM) offers rigorous and systematic approaches to decision making that are designed to improve the health and clinical care of individuals and to assist with health policy development. It is the official journal of the Society for Medical Decision Making (www.smdm.org). The Journal presents theoretical, statistical, and modeling techniques and methods from a variety of disciplines, including decision psychology, health economics, clinical epidemiology, and evidence synthesis. MDM promotes understanding of human decision-making processes so that individuals can make more informed and satisfying choices regarding their health. http://mdm.sagepub.com
SAGE is a leading international publisher of journals, books, and electronic media for academic, educational, and professional markets. Since 1965, SAGE has helped inform and educate a global community of scholars, practitioners, researchers, and students spanning a wide range of subject areas including business, humanities, social sciences, and science, technology, and medicine. An independent company, SAGE has principal offices in Los Angeles, London, New Delhi, Singapore and Washington DC. www.sagepublications.com
AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert! system.