ArticleScientific data2022
The United States COVID-19 Forecast Hub dataset.
Article in Scientific data, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
67 citing papers in PubMed.
- Expanding optimization ensemble model methods for forecasting seasonal influenza in the U.S.Infectious Disease Modelling · 2026Article
- Leveraging synthetic and genetic data to improve epidemic forecasting.PLoS computational biology · 2026Article
- Evaluation of respiratory disease hospitalisation forecasts using synthetic outbreak data.Communications medicine · 2026Article
- Adaptive multi-model ensembles for improved epidemic projections and decision support.medRxiv : the preprint server for health sciences · 2026Article
- A Software Platform for Collaborative Infectious Disease Modeling.Nature health · 2026Article
- Local Influenza Forecasts Outperform State-Level Forecasts in the United States.medRxiv : the preprint server for health sciences · 2026Article
- Forecastability of infectious disease time series: are some seasons and pathogens intrinsically more difficult to forecast?PLoS computational biology · 2026Article
- Toward AI foundation models for epidemics: Promise, challenges, and paths forward.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Fairness Correction in COVID-19 Predictive Models Using Demographic Optimization: Algorithm Development and Validation Study.Online journal of public health informatics · 2026Article
- Modeling and inference of mixed dynamics and detection of causal emergent features.Scientific reports · 2026Article
- One Health antimicrobial resistance modelling: from science to policy.Science in One Health · 2026Review
- Editorial: Mathematical Modelling and data analysis in infectious diseases.Frontiers in public health · 2026Article
- Data generation and modeling during COVID-19: utility, barriers, and priorities for future investments in public health response.Frontiers in public health · 2026Article
- Reflections on predictive modeling for infectious diseases.Frontiers in public health · 2026Article
- Protocol-aware epidemic forecasting across heterogeneous public health surveillance systems.Frontiers in public health · 2026Article
- Coordinating collaborative infectious disease modeling projects with the hubverse.medRxiv : the preprint server for health sciences · 2025Article
- A modular approach to forecasting COVID-19 hospital bed occupancy.Communications medicine · 2025Article
- Rocky Mountain West COVID-19 Modeling: A Descriptive Assessment of Public Health Needs During the COVID-19 Pandemic to Endemic Transition in Summer 2022.Public health reports (Washington, D.C. : 1974) · 2025Article
- Machine Learning-Driven COVID-19 Hospitalization Forecasting: From Theory to Practice in a Major Northeastern Academic Medical Center.Open forum infectious diseases · 2025Article
- Synthetic method of analogues for emerging infectious disease forecasting.PLoS computational biology · 2025Article
7 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
23 authors.
Funding
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.