COVID-19 Resources

Includes aggregate data for the state of Missouri and county-level data.

Includes aggregate data for the state of Illinois and county-level data.

A new effort called the National COVID Cohort Collaborative, or N3C, aims to build a centralized national data resource—the NCATS N3C Data Enclave—that the research community can use to study COVID-19 and identify potential treatments as the pandemic continues to evolve. Specifically, the N3C will enable the rapid collection and analysis of clinical, laboratory and diagnostic data from hospitals and health care plans. If successful, this approach will be applicable to other research questions and may serve as a model for addressing future public health emergencies.

COVID-NMA is an international research initiative supported by WHO and Cochrane. They provide a living map of COVID-19 registered trials, a living systematic review of trial results, and a living monitoring of trials transparency.

The CViSB team at Scripps Research is tracking the prevalence of several lineages or sets of mutations within the SARS-CoV-2 (hCoV-19) genome. This site includes latest data reports.

COVID-19 open-access data and computational resources are being provided by federal agencies, including NIH, public consortia, and private entities. These resources are freely available to researchers, and this page will be updated as more information becomes available.

Definitive Healthcare's data on hospital beds, including the numbers of licensed beds, staffed beds, ICU beds, and the bed utilization rate.

Johns Hopkins offers an interactive web-based dashboard to visualize and track reported cases in real-time.

The LexisNexis data and visualization map provides insights on at-risk populations and care capacity risks.

Mathematica offers a list of resources from publicly available resources that includes data sources, analytic tools, policy options, and other resources.

COVID-19 Primer summarizes research trends as well as the news coverage and social media discussion on scientific research about the COVID-19 pandemic and the SARS-CoV-2 virus. It employs natural language processing and generation to read and analyze research papers, bubble up trending concepts and discussions, as well as write the summaries.

Includes a daily global tracker and curated data visualizations from the Tableau Public community.