The United States COVID-19 Forecast Hub dataset
- Estee Y. Cramer
- Yuxin Huang
- Yijin Wang
- Evan L Ray
- Matthew Cornell
- Johannes Bracher
- Andrea Brennen
- Alvaro J. Castro Rivadeneira
- Aaron Gerding
- Katie House
- Dasuni Jayawardena
- Abdul Hannan Kanji
- Ayush Khandelwal
- Khoa Le
- Vidhi Mody
- Vrushti Mody
- Jarad Niemi
- Ariane Stark
- Apurv Shah
- Nutcha Wattanchit
- Martha Zorn
- Nicholas G Reich
- Tilmann Gneiting
- Anja Mühlemann
- Youyang Gu
- Yixian Chen
- Krishna Chintanippu
- Viresh Jivane
- Ankita Khurana
- Ajay Kumar
- Anshul Lakhani
- Prakhar Mehrotra
- Sujitha Pasumarty
- Monika Shrivastav
- Jialu You
- Nayana Bannur
- Ayush Deva
- Sansiddh Jain
- Mihir Kulkarni
- Srujana Merugu
- Alpan Raval
- Siddhant Shingi
- Avtansh Tiwari
- Jerome White
- Aniruddha Adiga
- Benjamin Hurt
- Bryan Lewis
- Madhav Marathe
- Akhil Sai Peddireddy
- Przemyslaw Porebski
- Srinivasan Venkatramanan
- Lijing Wang
- Maytal Dahan
- Spencer J. Fox
- Kelly Gaither
- Michael Lachmann
- Lauren Ancel Meyers
- James G. Scott
- Mauricio Tec
- Spencer Woody
- Ajitesh Srivastava
- Tianjian Xu
- Jeffrey C. Cegan
- Ian Dettwiller
- William P. England
- Matthew W. Farthing
- Glover George
- Robert H. Hunter
- Brandon J. Lafferty
- Igor Linkov
- Michael L. Mayo
- Matthew Parno
- Michael A. Rowland
- Benjamin D. Trump
- Samuel Chen
- Stephen V. Faraone
- Jonathan Hess
- Christopher P. Morley
- Asif Salekin
- Dongliang Wang
- Yanli Zhang‐James
- T. M. Baer
- Sabrina Corsetti
- Marisa C. Eisenberg
- Karl Falb
- Yitao Huang
- Emily T. Martin
- Ella McCauley
- Robert L. Myers
- Tom Schwarz
- Graham Gibson
- Daniel Sheldon
- Liyao Gao
- Yi-An Ma
- Dongxia Wu
- Rose Yu
- Xiaoyong Jin
- Yuxiang Wang
- Xifeng Yan
- YangQuan Chen
- KSKatharine Sherratt
- KSKatharine Sherratt
- KSKatharine Sherratt
Scientific Data · 2022 · Nature Portfolio
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Abstract
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.