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New tool uses personal data to predict coronavirus risk

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Cleveland Clinic researchers have introduced the world’s first risk prediction model to forecast an individual’s likelihood of testing positive for COVID-19, as well as their potential for serious outcomes.

According to a new study published in the journal CHEST, the risk prediction model, also called a nomogram, shows the relevance of a person’s age, race, gender, socioeconomic status, vaccination history, current medications and other details in determining overall risk for COVID-19. It was developed using data from nearly 12,000 patients enrolled in Cleveland Clinic’s COVID-19 Registry, which includes all individuals tested there for the disease. The risk calculator is a tool mainly intended for healthcare providers, but it can be used by anyone.

“As we continue to battle this pandemic and prepare for a potential second wave, understanding a person’s risk is the first step in potential care and treatment planning,” said Lara Jehi, M.D., Cleveland Clinic’s chief research information officer.

The risk calculator is available online at

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