Strategically increasing testing capacity, either by making diagnostic tests faster or more available, can reduce reliance on costly preventative interventions, such as distancing and shutdowns, according to a team of researchers led by Penn State. The team designed its mathematical model to support government and public health officials in implementing testing and isolation programs to control the spread of SARS-CoV-2 while reducing reliance on socially and economically costly interventions.