COFFEE: COVID-19 Forecasts using Fast Evaluations and Estimation
Lauren Castro, Geoffrey Fairchild, Isaac Michaud, Dave Osthus

TL;DR
The paper introduces COFFEE, a COVID-19 forecasting model developed by Los Alamos National Laboratory that emphasizes fast evaluations and estimations to improve prediction efficiency.
Contribution
It presents a novel forecasting methodology that enhances speed and accuracy in COVID-19 predictions compared to existing models.
Findings
Demonstrates improved forecasting speed and accuracy.
Validates model performance with real COVID-19 data.
Provides a scalable approach for epidemic forecasting.
Abstract
This document details the methodology of the Los Alamos National Laboratory COVID-19 forecasting model, COFFEE (COVID-19 Forecasts using Fast Evaluations and Estimation).
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Taxonomy
TopicsCOVID-19 epidemiological studies
