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Title: The United States COVID-19 Forecast Hub dataset

Journal Article · · Scientific Data
ORCiD logo [1]; ; ORCiD logo; ; ; ; ; ; ; ; ; ; ; ; ; ; ORCiD logo; ORCiD logo; ; more »; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; « less
  1. University of Massachusetts Amherst, Amherst, MA (United States); US COVID-19 Forecast Hub Consortium et al.

Academic researchers, government agencies, industry groups, and individuals have produced forecasts at an unprecedented scale during the COVID-19 pandemic. To leverage these forecasts, the United States Centers for Disease Control and Prevention (CDC) partnered with an academic research lab at the University of Massachusetts Amherst to create the US COVID-19 Forecast Hub. Launched in April 2020, the Forecast Hub is a dataset with point and probabilistic forecasts of incident cases, incident hospitalizations, incident deaths, and cumulative deaths due to COVID-19 at county, state, and national, levels in the United States. Included forecasts represent a variety of modeling approaches, data sources, and assumptions regarding the spread of COVID-19. The goal of this dataset is to establish a standardized and comparable set of short-term forecasts from modeling teams. These data can be used to develop ensemble models, communicate forecasts to the public, create visualizations, compare models, and inform policies regarding COVID-19 mitigation. These open-source data are available via download from GitHub, through an online API, and through R packages.

Research Organization:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Organization:
USDOE Laboratory Directed Research and Development (LDRD) Program; Centers for Disease Control and Prevention (CDC); National Institutes of General Medical Sciences (NIGMS); National Institutes of Health (NIH); National Science Foundation (NSF)
Contributing Organization:
US COVID-19 Forecast Hub Consortium
Grant/Contract Number:
89233218CNA000001
OSTI ID:
1975006
Report Number(s):
LA-UR-21-29146
Journal Information:
Scientific Data, Vol. 9, Issue 1; ISSN 2052-4463
Publisher:
Nature Publishing GroupCopyright Statement
Country of Publication:
United States
Language:
English

References (14)

An interactive web-based dashboard to track COVID-19 in real time journal May 2020
The RAPIDD ebola forecasting challenge: Synthesis and lessons learnt journal March 2018
“A 30% Chance of Rain Tomorrow”: How Does the Public Understand Probabilistic Weather Forecasts? journal June 2005
Covid-19 pandemic and the unprecedented mobilisation of scholarly efforts prompted by a health crisis: Scientometric comparisons across SARS, MERS and 2019-nCoV literature journal September 2020
Accuracy of real-time multi-model ensemble forecasts for seasonal influenza in the U.S. journal November 2019
An open challenge to advance probabilistic forecasting for dengue epidemics journal November 2019
Comparing trained and untrained probabilistic ensemble forecasts of COVID-19 cases and deaths in the United States journal July 2022
Combining probabilistic forecasts of COVID-19 mortality in the United States journal June 2021
Modeling of Future COVID-19 Cases, Hospitalizations, and Deaths, by Vaccination Rates and Nonpharmaceutical Intervention Scenarios — United States, April–September 2021 journal May 2021
Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States journal April 2022
Use and communication of probabilistic forecasts: Use and Communication of Probabilistic Forecasts journal February 2016
Carceral-community epidemiology, structural racism, and COVID-19 disparities journal May 2021
Evaluating epidemic forecasts in an interval format journal February 2021
The Zoltar forecast archive, a tool to standardize and store interdisciplinary prediction research journal February 2021