Updating COVID-19 Models: A Smarter Way
During the COVID-19 pandemic, mathematical models were crucial for guiding decisions. These models often needed calibration to estimate uncertain details and stay relevant. The problem? Recalibrating models was computationally expensive. Researchers tackled this challenge by developing a new method