About the Project

MUSC's COVID-19 Epidemiology Intelligence Project analysis has been developed to:

  1. Provide analysis of trends in the COVID-19 epidemic to assist with understanding the current and projected status of transmission, impacts to the community and hospital system, and the success of mitigation efforts. Our goal is also to provide information that can help assess when it will be feasible to begin re-opening certain business and workforce sectors.
  2. Help us better understand and predict the critical needs of our hospitals, health care teams, and the tri-county (Charleston, Berkeley, Dorchester) community so that we can plan for and mitigate the impact of COVID-19 to the best of our ability.
  3. Provide reliable data to help guide and support decision making by policymakers, business leaders, and members of the general public in the tri-county region.

Data used in trend analysis comes from SCDHEC, Cuebiq, and MUSC clinical data. Data used in the model comes from Census Bureau, literature reviews, and internal clinical data.

How Often Are the Graphs Updated?

The goal of the project is to update analysis twice a week.

Project Team

  • Michael D. Sweat, Ph.D., professor, MUSC Department of Psychiatry and Behavioral Sciences; director, Division of Global and Community Health; and faculty director, MUSC Center for Global Health – Project Director
  • Virginia “Ginny” Fonner, Ph.D, MPH, assistant professor, Department of Psychiatry and Behavioral Sciences, Division of Global and Community Health
  • Eric Meissner, M.D., Ph.D., assistant professor, Department of Medicine, Division of Infectious Diseases
  • Kathleen Ellis, executive director, MUSC Center for Global Health
  • Claire Bailey, MPH, RD, program coordinator, Department of Psychiatry and Behavioral Sciences, Division of Global and Community Health
  • William “Alex” Parler, MUSC College of Medicine student
  • Gregory "Brian" Elmore, MUSC College of Medicine student