Machine Learning Can Identify Areas Most at Risk from Pandemic
In July 2020, researchers from Akai Kaeru LLC, affiliated with Stony Brook University, developed a machine learning tool to identify U.S. counties most at risk from the COVID-19 pandemic. By analyzing factors like population density, age distribution, and healthcare access, the tool aims to assist policymakers in targeting interventions and allocating resources effectively.