Cornell Institute for Disease & Disaster Preparedness

The Cornell Institute for Disease and Disaster Preparedness (CIDDP), co-directed by Dr. Nathaniel Hupert (Weill Cornell Medicine) and Prof. Jack Muckstadt (Cornell Engineering), 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.

CIDDP 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.

Interlinked Goals

Primary research through theoretical modeling, model validation activities and development of decision support tools for improved health system response to pressing threats including COVID-19, pandemic influenza, bioterrorism and other emerging infections such as Ebola Virus Disease (EVD)
Education of the nation's next generation of engineers and public health practitioners and researchers, with combined expertise in both the quantitative techniques of operations research (simulation, mathematical modeling and statistical analysis) and the applied field of public health system research
Outreach to end-users, including hospitals, health systems, federal, state, regional and local public health officials, insurance and risk management entities, data integrators and information system developers capable of translating pilot projects into widely available decision support tools

COVID-19 Research

Other CIDDP Research

Non-COVID Response Logistics Modeling Tools and Reports

Publications

Key Personnel

Major Weill Cornell Medicine Public Health Response Logistics Models and Reports

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, D. Wattson
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	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 Research Highlights

Using influenza surveillance networks to estimate state-specific prevalence of SARS-CoV-2 in the United States

June 29, 2020

In a new article published in Science Translational Medicine, Dr. Nathaniel Hupert, associate professor of population health sciences and medicine at Weill Cornell Medicine, worked with colleagues to show how influenza-like illness (ILI) outpatient surveillance data can be used to estimate the prevalence of SARS-CoV-2 in the United...

Highlights

Epidemic Modeling Crucial in the Fight Against COVID-19 Pandemic

April 14, 2020

Mathematical modeling by Weill Cornell Medicine is helping to guide New York State and New York City leaders as they make decisions that could affect the trajectory of the COVID-19 pandemic.

Using a tool he created called the Cornell COVID Caseload Calculator C5V, ...