Testing errors go the opposite of what you’re thinking.
Stephanie Caccomo, a spokesperson for the FDA, says the positive predictive value, or likelihood a positive test result correctly reflects that a patient has COVID-19, depends on how widespread the disease is—and that situation is changing quickly. “Based on what is known about the pathophysiology of COVID-19, the data provided and our previous experience with respiratory pathogen tests, the false-positive rate for authorized tests is likely to be very low, and the true-positive rate is likely to be high,” Caccomo says. “However, performance characteristics are specific to each test.” And there is a risk of a false-negative result if the sample is not taken correctly, says Vincent Racaniello, a professor of microbiology and immunology at Columbia University. This possibility could explain why people recovering from the disease sometimes test negative initially and then positive later, he says.