New approach for more accurate epidemic modeling: Researchers say using fractional exponents could improve predictions of disease spread – Science Daily

A new class of epidemiological models based on alternative thinking about how contagions propagate, particularly in the early phases of a pandemic, provide a blueprint for more accurate epidemic modeling and improved disease spread predictions and responses, according to a study published recently in Scientific Reports by researchers at the University of California, Irvine and other institutions.In the paper, the scientists said that standard epidemic models incorrectly assume that the rate in which…

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