Mathematical model predicts COVID-19 hospitalizations for those with underlying conditions

Mathematical model predicts COVID-19 hospitalizations for those with underlying conditions

Mathematician Steven G. Krantz in Arts & Sciences at Washington University in St. Louis is using a mathematical tool called wavelets to combat underreporting in the COVID-19 pandemic. His latest model predicts the number of near-term hospitalizations for older adults with one or a combination of underlying conditions: hypertension, cardiovascular disease and lung disease.
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