Article

A random forest model for forecasting regional COVID-19 cases utilizing reproduction number estimates and demographic data

2021-05-25

Abstract excerpt

<h4>A bstract </h4> During the COVID-19 pandemic, predicting case spikes at the local level is important for a precise, targeted public health response and is generally done with compartmental models. The performance of compartmental models is highly dependent on the accuracy of their assumptions about disease dynamics within a population; thus, such models are susceptible to human error, unexpected events, or unk...

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Literature Corpus work: 6b44b261-dbb7-5e37-9fbf-eea8321359c4
DOI: 10.1101/2021.05.23.21257689

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