Using data from January 23 to June 20, 2020, we develop and combine multiple forecasts using ensembling techniques, resulting in an ensemble we refer to as combined linear and exponential predictors (CLEP). We use this data to develop predictions and corresponding prediction intervals for the short-term trajectory of COVID-19 cumulative death counts at the county level in the United States up to 2 weeks ahead. In this article we present our continuous curation of a large data repository containing COVID-19 information from a range of sources. As the COVID-19 outbreak evolves, accurate forecasting continues to play an extremely important role in informing policy decisions.
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