This project provides a methodology and theory development that spans the information ecology, dis/mis-information, and human risk behavior in the context of COVID-19.
COVID-19 Pandemic Response
The Biocomplexity Institute provides its expertise in epidemiological modeling to help local, state, and federal government officials respond to the COVID-19 pandemic. We work with the Centers for Disease Control, Department of Defense, and the Commonwealth of Virginia to provide decision-makers with tools to better evaluate the impact of the pandemic.
Our research team produces innovative computational models and real-time simulations using high-performance computing to forecast disease spread. Their work is at the frontier of science and has been relied upon through major epidemics since 2005.
Protecting the Commonwealth of Virginia
The Institute's COVID-19 Response Team consults directly with several state agencies, including the Virginia Department of Emergency Management and Virginia Department of Health (VDH). The team provides a weekly forecasting update to state officials to support informed decision making and guidance to the public, and to help VDH protect the health and wellbeing of all people in Virginia.
Backed by high-performance computing and computer simulation, our researchers analyze a variety of counterfactual and what-if scenarios and consider the impact of social interventions on the COVID-19 pandemic. They conduct real-time simulations to forecast disease spread to ascertain the specifics: when, where, and the intensity of the outbreak. Based on these results, the team produces useful dashboards to help the public better understand the spread of the disease as well as give healthcare workers beneficial tools to identify the most efficient ways to estimate and allocate scarce medical resources. To see more of our interactive analytical tools, click here.
Ongoing Pandemic Research
We continue to study the Novel Coronavirus, and pandemics in general, through current projects funded by the National Institutes of Health, National Science Foundation, and IARPA. Explore these projects to the right.
This research will perform scenario-based analysis to measure the epidemiological and economic impact of COVID- 19 in the US. We will use several counterfactual scenarios, guided by the CDC and current interventions to build an experimental design.
This Expeditions project will enable novel implementations of global infectious disease computational epidemiology by advancing computational foundations, engineering principles, theoretical understanding, and novel technologies.
PREPARE is a virtual organization to facilitate communication and collaboration among scientists currently involved in pandemic research through the NSF RAPID program. PREPARE will encourage the sharing of research results in a way not available without a concerted effort.
We propose to research novel computational models of human responses to epidemics and NPIs and integrate them into a state-of-the-art epidemiological model.