ArticleData in brief2021
Dataset of COVID-19 outbreak and potential predictive features in the USA.
Article in Data in brief, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed.
- A framework for modeling county-level COVID-19 transmission.Frontiers in public health · 2025Article
- A novel hybrid supervised and unsupervised hierarchical ensemble for COVID-19 cases and mortality prediction.Scientific reports · 2024Article
- From Policy to Prediction: Forecasting COVID-19 Dynamics Under Imperfect Vaccination.Bulletin of mathematical biology · 2022Article
- A Pragmatic Ensemble Strategy for Missing Values Imputation in Health Records.Entropy (Basel, Switzerland) · 2022Article
- Dataset of COVID-19 outbreak and potential predictive features in the USA.Data in brief · 2021Article
- Accurate long-range forecasting of COVID-19 mortality in the USA.Scientific reports · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This dataset provides information related to the outbreak of COVID-19 disease in the United States, including data from each of 3142 US counties from the beginning of the outbreak (January 2020) until June 2021. This data is collected from many public online databases and includes the daily number of COVID-19 confirmed cases and deaths, as well as 46 features that may be relevant to the pandemic dynamics: demographic, geographic, climatic, traffic, public-health, social-distancing-policy adherence, and political characteristics of each county. We anticipate many researchers will use this dataset to train models that can predict the spread of COVID-19 and to identify the key driving factors.
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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.