The Weill Cornell Medicine Institute for Disease and Disaster Preparedness (IDDP), co-directed Drs. Nathaniel Hupert and Jack Muckstadt, grew out of many years of collaborative work involving a range of academic specialties related to preparation for and response to natural and man-made disasters and disease epidemics.
IDDP efforts advance research and education in the field of public health response logistics, the systematic study of physical and human infrastructures, materials and supplies, transport resources, information and communication systems, business processes, decision support systems and command and control systems required to respond quickly and appropriately to health crises.
As founding participants of the University of British Columbia World Health Organization Collaborating Centre for Complexity Science for Health Systems, IDDP faculty members integrate research activities from several academic disciplines, with a proven track record of creating public health and disaster response logistics solutions for business and government. In the public health realm, IDDP faculty members have made a material impact on domestic bioterrorism and public health emergency preparedness at the federal, state and local levels. Weill Cornell Medicine is one of only a handful of academic medical institutions with researchers contributing to scenario development and health system modeling at the highest levels of the U.S. executive branch.
Research related to the logistics of disease and disaster preparedness and response includes a broad range of topics. While the majority of IDDP research concerns emergency response logistics for events arising within the United States, we have also addressed logistics issues related to pandemics and diseases found elsewhere, including the scale-up of antiretroviral therapy for people with AIDS in limited-resource settings. IDDP faculty members also enjoy a significant amount of experience underwriting public health system informatics research.
Over the past two decades, Weill Cornell Medicine researchers have made important contributions to the science of public health response logistics. Dr. Nathaniel Hupert and his team initiated this work at the turn of the millennium, in collaboration with the NYC Office of Emergency Management and Department of Health and Mental Hygiene, with the first simulation modeling of bioterrorism response plans for New York City. This work led to the Point of Dispensing (POD) concept, which subsequently became a cornerstone of U.S. bioterrorism response policy.
|Date||Model Name||Client||Development Lead|
|2002||Weill Cornell Medicine Bioterrorism and Epidemic Outbreak Response||U.S. Health & Human Services (HHS), Agency for Healthcare Research and Quality (AHRQ)||N. Hupert|
|2004||Community-Based Mass Prophylaxis: A Planning Guide for Public Health Preparedness||U.S. HHS AHRQ||N. Hupert, J. Cuomo and S. Morse|
|2004-09||Regional Hospital Caseload Calculator||U.S. HHS AHRQ||N. Hupert, J. Cuomo and D. Wattson|
|2005||Hospital Surge Capacity Optimization and Utilization Tool||U.S. HHS AHRQ||N. Hupert and D. Wattson|
|2005-07||Catastrophic Patient Allocation||U.S. HHS AHRQ||J. Muckstadt, S. Chinchalkar, N. Hupert and W. Xiong|
|2006||Surge||U.S. HHS AHRQ||N. Hupert and J. Muckstadt|
|2006||Triage and Surge Capacity Tool (TriSCT)||U.S. HHS AHRQ and Columbia University National Center for Disaster Preparedness||N. Hupert, E. Hollingsworth and W. Xiong|
|2006-07||Stochastic Simulation of Health System Response to Large-Scale Epidemics||J. Muckstadt, D. Murray, P. Jackson, W. Xiong, E. Hollingsworth and N. Hupert|
|2007||LabMod||Clinton Foundation HIV/AIDS Initiative||W. Xiong, E. Hollingsworth and N. Hupert|
|2007||Hospital Self-Prophylaxis||NewYork-Presbyterian Hospital||W. Xiong, E. Hollingsworth, N. Hupert, J. Muckstadt, J. Vorenkamp and E. Lazar|
|2007||Stochastic HIV/AIDS Treatment Scale-Up in Sub-Saharan Africa||Clinton Foundation HIV/AIDS Initiative||J. Muckstadt, M. Al-Gwaiz, W. Xiong, K. King, E. Hollingsworth and N. Hupert|
|2008-09||Hospital Preparedness Exercises Guidebook; Pocket Guide and Atlas of Resources and Tools||U.S. HHS AHRQ||M. Cheung M, A-T. Vu, D D. Varlese, W. Xiong and N. Hupert|
|2010-14||Pharmaceutical-Based Antiviral Dispensing for Pandemic Influenza||U.S. Centers for Disease Control (CDC)||N. Hupert, J. Muckstadt, C. Barnett, R. Chen and K. King|
Current IDDP activities include creation of linear programming models of aerosol anthrax spore dissemination events, logistics modeling of point-of-dispensing activities incorporating resupply, determination of efficient coverage to achieve critical workforce protection using prophylactic antibiotics and antivirals, analysis of emergency medical transport and response patterns after Hurricane Sandy and analysis of hospital operations to improve efficiency at high volume. Novel techniques used in these studies have included automated process modeling and complex system graphing.
This spreadsheet tool facilitates daily patient care and data collection in Ebola Treatment Units (ETUs, also called Ebola Treatment Centers). The tool was created by Nathaniel Hupert, M.D., M.P.H., of Weill Cornell Medicine and Lewis Rubinson, M.D., Ph.D., of the University of Maryland School of Medicine.
This Microsoft Excel tool was designed in consultation with (and directly responding to the needs of) clinicians currently on the ground in West Africa. It addresses both the tracking of clinic operational parameters (e.g., delay of receipt of lab tests) and the need for daily patient lists in up to three ETU wards. As there are few or no electronics permitted in the "hot zones" where full Personal Protective Equipment (PPE) is required, the last three sheets of the workbook provide a printable interface populated with up-to-date results for efficient rounding. This tool helps frontline health care workers assimilate information about patients under their care and facilitate effective treatment for suspected, confirmed and convalescent patients. Its developers are certain that the tool can be improved and they welcome any enhancements.
The following are now freely available:
Note: if users of this tool are willing to share any summarized, non-protected, clinical operational data collected with its use (e.g., length of stay by ward and/or by patient outcome), this will greatly enhance ongoing efforts to accurately forecast upcoming logistical outbreak requirements. Furthermore, if users have the ability to link unit-based patient care to specific quantities of PPE required, provision of that information is valuable for quantitative logistical planning. Please contact Dr. Hupert (email@example.com) for further information.