Mathematics
3 years ago

New model predicts COVID-19 fatality rates with unprecedented accuracy.

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arXiv (Cornell University)
A parametric quantile beta regression for modeling case fatality rates of COVID-19
Marcelo Bourguignon, Diego I. Gallardo, Helton Saulo

Paper Summary

The scientists developed a new model to predict how deadly COVID-19 is based on data from Chile. They used a special type of math to account for the different factors that can affect the death rate. By looking at different parts of the data, they found a way to better understand how certain factors can change the death rate. Their model can help us predict how deadly COVID-19 might be in different situations.

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