COVID-19 Series Workshops
- Modeling and Quantitative
- Clinical Response
- Community
- Research
Yale’s Modeling and Quantitative Science Response to COVID-19
Yale University is marshaling the collective resources of medicine, public health, nursing, engineering, and science to innovate research and provide critical patient care during the COVID-19 pandemic. To enhance communication and research connections, we are hosting a series of virtual Dean’s workshops to share data and work collaboratively as a global community to address the crisis. For this workshop, we concentrate on modeling and quantitative science to illuminate trends, evaluate the effectiveness of interventions, and guide decisions for responses to the pandemic. Faculty from the Schools of Medicine, Nursing, Engineering and Applied Science, Management, Public Health, and Yale Institute for Global Health will highlight efforts to address the COVID-19 pandemic. In lieu of our traditional discussion, a link to an online response thread for your ideas and questions will show up automatically when you leave the meeting and will also be on the Dean's Workshop webpage for a limited time. While the mechanisms are new, this workshop continues our traditional priorities of excellence and dedication. As always, thanks to all for the work that you do to provide our patients, students, and our community with our best efforts and commitment to address this crisis together.
Modeling and Quantitative Science Response to COVID
Introduction: Yale’s Modeling and Quantitative Science Response to the COVID-19 Pandemic
Nancy J. Brown, MD, Jean and David W. Wallace Dean of Medicine and C.N.H. Long Professor of Internal Medicine
Interdisciplinary Quantitative Research on COVID-19
Saad Omer, MBBS, MPH, PhD Director, Yale Institute for Global Health
The Impact of Changes in Testing Practices on Estimates of COVID-19 Transmission
Virginia Pitzer, ScD, Associate Professor of Epidemiology (Microbial Diseases)
Estimating the Early Death Toll of COVID-19 in the US
Daniel Weinberger, PhD Associate Professor of Epidemiology (Microbial Diseases)
Real-time Big Data Forecasting of the COVID-19 Outbreak
Nicholas A. Christakis, M.D., Ph.D., M.P.H. Sterling Professor of Social and Natural Science
Adapting a Machine Learning Algorithm to Track Symptoms of COVID-19
Julie Womack PhD, CNM, FNP (BC) Associate Professor of Nursing
Visual Model of COVID-19 Transmission in Correctional Facilities
Emily Wang, MD, MA Associate Professor of Medicine (General Medicine); Co-Director, Center for Research Engagement, Internal Medicine
Supporting COVID-19 Hospital Planning and State Reopening Using Model Projections
Forrest W. Crawford, PhD Associate Professor of Biostatistics, Associate Professor of Ecology and Evolutionary Biology, Associate Professor of Management, and Associate Professor of Statistics and Data Science
COVID-19 Scratch Models To Support Local Decisions: A Public Health Modeling Adventure
Edward H. Kaplan, SM, MCP, PhD, NAM, NAE William N. and Marie A. Beach Professor of Operations Research Professor of Public Health Professor of Engineering
Closing Remarks and Future Directions
Nancy J. Brown, MD, Jean and David W. Wallace Dean of Medicine and C.N.H. Long Professor of Internal Medicine