The COVID-19 Data Source Lab, based in the Epstein Department of Industrial and Systems Engineering at the University of Southern California, studies optimization of patient flow and resource allocation in response to pandemics and human transmissible disease. The work is led by Prof. Randolph Hall and engages undergraduate and graduate students in the department. We have been supported by the Zumberge Innovation Fund and the Center for Undergraduate Research in Viterbi Engineering.
Our Goal
We aim to reduce the consequences of human transmissible disease through interventions that simultaneously affect the rates at which new cases occur and affect the provisioning of healthcare resources to serve patient needs. Toward that end, we are developing models of disease transmission and resource allocation, considering:
- Selection of sites for administration of vaccines
- Equity and effectiveness considerations in distribution of vaccines to states and age groups
- Disease transmission models, accounting for travel between regions
- Dynamic tracking of disease cases and deaths
