Research Post
Dataset of COVID-19 outbreak and potential predictive features in the USA
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 September 2020. This data is collected from many public online databases and includes the daily number of COVID-19 confirmed cases and deaths, as well as 33 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.
Latest Research Papers
Feb 9th 2023
Research Post
Modeling and Forecasting COVID-19 Cases using Latent Subpopulations
Feb 6th 2023
Research Post
Towards artificial intelligence-based learning health system for population-level mortality prediction using electrocardiograms
Read this research paper, co-authored by Fellow & Canada CIFAR AI Chair at Russ Greiner: Towards artificial intelligence-based learning health system for population-level mortality prediction using electrocardiograms
Jul 7th 2022
Research Post
Prediction of Obsessive-Compulsive Disorder: Importance of neurobiology-aided feature design and cross-diagnosis transfer learning
Read this research paper, co-authored by Fellow & Canada CIFAR AI Chair Russ Greiner: Prediction of Obsessive-Compulsive Disorder: Importance of neurobiology-aided feature design and cross-diagnosis transfer learning
