Two University of Louisiana at Lafayette professors, Cameron Browne and Hayriye Gulbudak, received grants from the National Science Foundation to study the impact of social distancing, quarantines, and contact tracing in actually slowing the SARS-CoV-2, the pathogen behind the COVID-19 pandemic. U.S. Sen. John N. Kennedy, R-Louisiana announced the grant as part of the Coronavirus Aid, Relief and Economic Security Act—the CARES Act. Both will employ mathematical modeling, actually simulating real-life situations, to predict the spread of infectious diseases. These models can potentially augment real-world analyses as often health agency decision makers lack complete data sets.
Data Key to Understanding
As communities combat the COVID-19 pandemic and the fight moves toward the effort to not only “flatten the curve” but also pivot and transition toward opening up economies—key activities from ongoing testing programs to contact tracing represent vital steps toward normalcy. In an ideal world all of the data required for superior decision making would be in place but this isn’t of course an ideal world and much data is not available. Hence, the professors note in their NSF propo...
Note: If you need assistance with your subscription or would like to discuss a corporate subscription for more than 10 employees please contact us or use the chat (bottom right).