The United States COVID-19 Forecast Hub dataset
- 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
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