Researchers from CU Boulder have introduced a new mathematical model, detailed in a June 14 publication in Science Advances, aimed at optimizing the use of rapid COVID-19 tests and similar diagnostics for other respiratory viruses like RSV and the flu. The model suggests varying strategies for when to administer tests based on the virus: waiting two days after COVID symptoms appear increases detection accuracy due to delayed virus replication, while immediate testing is advised for RSV and flu, where viral loads are high early on. This approach seeks to enhance diagnostic efficacy and inform public health responses, potentially revolutionizing testing strategies amidst evolving pandemic challenges.