Framework reveals how neglecting income, education and ethnicity affects disease spread predictions on COVID-19 data

An international team of researchers have developed an innovative approach to epidemic modeling that could transform how scientists and policymakers predict the spread of infectious diseases. Led by Dr. Nicola Perra, Reader in Applied Mathematics, the study published in Science Advances introduces a new framework that incorporates socioeconomic status (SES) factors—such as income, education, and ethnicity—into epidemic models.

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