Carlton's COVID model helps predict disease spread

In a March 19th article in Mother Jones, AirUCI faculty Annmarie Carlton is cited among those striving to fight the COVID virus or ease its effects. In working to create online instruction for her classes, she built a simplified model using Google Trends and air quality data that she thinks is able to predict the spread of the disease in places where there are no tests at all. She describes being torn between refining this model and continuing to create online content for her classes so her students can make their own models one day.  Read the article