Ray Bradbury once said, “mysteries abound where most we seek for answers.” Case in point: the COVID-19 pandemic.

Despite more than a year’s worth of observation and intense study, there’s a lot we still don’t know about COVID-19. One of the most enduring mysteries is “long COVID syndrome,” where symptoms stick around for weeks or even months longer than the virus’s typical life span—and often in younger, healthier patients who had particularly mild cases of the disease.

Studies estimate as many as 30% of COVID-19 patients will suffer prolonged effects, and nearly half of long-haulers report health issues so severe they’ve been unable to work full-time.

One research team may have solved at least a small piece of the puzzle. They built on a recent analysis of self-reported symptoms in the COVID Symptom Study smartphone app—released in March 2020 by King’s College London, St. Thomas Hospitals and the startup ZOE Global Limited—to develop a simple algorithm that might identify those most likely to contract long COVID.

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