The United States COVID-19 Forecast Hub dataset

Article Article scientifique Article The United States COVID-19 Forecast Hub dataset eng 2022-08-01 2022-08-01 author Cramer Estee Y 0000-0003-1373-3177 Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA, 01003, USA. author Huang Yuxin Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA, 01003, USA. author Wang Yijin 0000-0003-4438-6366 Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA, 01003, USA. author Ray Evan L Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA, 01003, USA. author Cornell Matthew Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA, 01003, USA. author Bracher Johannes Chair of Econometrics and Statistics, Karlsruhe Institute of Technology, Karlsruhe, 76185, Germany.,Computational Statistics Group, Heidelberg Institute for Theoretical Studies, Heidelberg, 69118, Germany. author Brennen Andrea IQT Labs, Waltham, MA, 02451, USA. author Rivadeneira Alvaro J Castro Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA, 01003, USA. author Gerding Aaron Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA, 01003, USA. author House Katie Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA, 01003, USA. author Jayawardena Dasuni Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA, 01003, USA. author Kanji Abdul Hannan Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA, 01003, USA. author Khandelwal Ayush Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA, 01003, USA. author Le Khoa Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA, 01003, USA. author Mody Vidhi Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA, 01003, USA. author Mody Vrushti Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA, 01003, USA. author Niemi Jarad 0000-0002-5079-158X Department of Statistics, Iowa State University, Ames, IA, 50011, USA. author Stark Ariane 0000-0001-5414-7874 Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA, 01003, USA. author Shah Apurv Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA, 01003, USA. author Wattanchit Nutcha Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA, 01003, USA. author Zorn Martha W Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA, 01003, USA. author Reich Nicholas G Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA, 01003, USA. nick@umass.edu. US COVID-19 Forecast Hub Consortium collaborator Flahault Antoine 815316 Décanat et administration de la faculté de médecine (ADMED) collaborator Manetti Elisa 822927 collaborator Namigai Kristen Ann Ohara 887585 collaborator Lee Elizabeth 0000-0002-4156-9637 440801 Institut de santé globale (COSPR) 462 10.1038/s41597-022-01517-w 35915104 2052-4463 PMC9342845 https://www.nature.com/articles/s41597-022-01517-w 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. COVID-19 Centers for Disease Control and Prevention, U.S Forecasting Humans Pandemics United States / epidemiology Dewey 613 ACL HHS U01CK000538 United States NCEZID CDC HHS U01 CK000594 United States NIGMS NIH HHS R01 GM140564 United States NCEZID CDC HHS U01 CK000531 United States NCIRD CDC HHS U01 IP001137 United States ACL HHS U01IP001122 United States ACL HHS U01CK000531 United States ACL HHS U01CK000594 United States NIGMS NIH HHS R35 GM119582 United States NIGMS NIH HHS R01 GM111510 United States NIGMS NIH HHS R01 GM109718 United States NIGMS NIH HHS R01 GM076570 United States NICHD NIH HHS P2C HD066613 United States 66 Institut de santé globale 22A1 false 907 Groupe Flahault Antoine 945 Scientific data 9 1 4e708112-1426-40d1-91b3-46c76fa3a0c8 Article (Published version) Public Article_scientifique_from_europePmc.pdf 1650048 application/pdf CC BY-4.0 b729aa6985bc5cfe571d4f73e76174686aa65d16a2e0180247284a899c45cd21 openAccess Faculté de médecine / Section de médecine clinique / Département de santé et médecine communautaires / Institut de santé globale

Title	Published in	Year	Views	Downloads

The United States COVID-19 Forecast Hub dataset	Scientific data	2022	3	3
Trend estimation and short-term forecasting of COVID-19 cases and deaths worldwide	Proceedings of the National Academy of Sciences of the United States of America	2022	91	33

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Manetti, Elisa