In concert with:
Johns Hopkins data, presented by The Associated Press
The Associated Press has made their version of the Johns Hopkins University COVID-19 tracking project data available to the public. This data is paired with population figures and county rural/urban designations, and has calculated caseload and death rates per 100,000 people. This dataset is updated hourly at 45 minutes past the hour.
The Associate Press, working with the Marshall Project, has also made COVID-19 data available as it relates to prison populations.
In addition to the data (and sample queries), The Associated Press has also included an embeddable interactive visualization (and the code to embed it) in their project summary. To learn more about AP’s data journalism capabilities for publishers, corporations and financial institutions email email@example.com.
Johns Hopkins data, presented by Tableau
The Tableau team has cleaned, organized, and published the Johns Hopkins data on data.world to make it easier to visualize and analyze. For the most up-to-date summary of the data and to explore the latest visualizations from the Tableau Community see Tableau’s COVID-19 Data Hub and FAQ.
Tableau has also created a dataset that tracks policy responses to COVID-19 globally (at the country level) as well as within the US (state level) using their coronavirus data hub account. These datasets are sourced from the University of Oxford and University of Washington respectively, and cover policies on schools, businesses, public events, gatherings, transport, travel, stay-at-home requirements and more.
You can leverage data.world’s web data connector to allow you to easily pull data directly into Tableau to create visualizations.
European CDC data, presented by Our World in Data
data.world is replicating the European CDC data as shared by Our World in Data (OWiD). For the most up-to-date summary and insights on this data please see the OWiD page dedicated to this work.
This dataset was originally sourced from the data put out by the World Health Organization (WHO). For a detailed writeup on why OWiD shifted their coverage to the ECDC data, you can read their coverage here. The data contained in this source focuses primarily on the number of deaths and cases, and more specifically, how quickly those numbers double. For a complete list of visualizations (over 40 in total) you can also view their insights page.
Risk, Readiness, and Recovery
by Wunderman Thompson
Wunderman Thompson has connected the health, demographic, and consumer transaction data from their Identity Network with current available Covid-19 data, and other market information, to create a county level view of population Risk, Readiness, and Economic Recovery*.
The Wunderman Thompson Identity Network is an individual (non-cookie based) Identity Graph that consists of thousands of insight elements connected to over 270,000,000 individuals in the U.S, integrated into a Watson machine learning platform, with an ability to activate targeted consumer communications seamlessly into digital media, marketing, CRM, call center, and all addressable channels.
*Click through for full RRI index detail.
New York Times data
US CDC and Local Data, presented by USAFacts
USAFacts is providing county-level COVID-19 confirmed cases and deaths compiled from government sources. Confirmed cases and deaths refer to COVID-19 instances that are verified and reported by state and/or local government agencies. They also offer a confirmed cases per 100,000 residents calculation using 2019 Census Bureau estimates. They believe this provides further context about the spread of COVID-19. Please note that population-adjusted calculations of confirmed cases are more sensitive to differences in testing availability. The datasets are updated throughout the day with a full refresh at the end of each day.
For more details, including visualizations that you can customize and embed, please visit the USAFacts Coronavirus Hub.
Qventus Scenario Planning Tool
To help health systems across the country mitigate the critical resource constraints from a surge in coronavirus patients, Qventus has developed a free COVID-19 planning model designed to support the local decision making needs of hospital operators. This new tool is available to the public now and takes into account the most recent coronavirus research and latest local data on COVID-19 cases.
The planning tool is based on a modified SEIR model, and incorporates a live feed of local case count and resource availability estimates. The tool consists of 450 localized epidemiological models that are run and updated daily, providing an up-to-date perspective on the impact of the pandemic in local areas. If you are interested in a guided walk-through of how to use the model for your region, system, or hospital, email firstname.lastname@example.org.
COVID Impact Survey, Presented by Data Foundation
In cooperation with the Associated Press, NORC, MN Federal Reserve, and the Alfred P. Sloan and Packard foundations, the Data Foundation has commissioned an independent survey to cover physical health, mental health, and economic security in the United States.
The COVID Impact Survey aims to fill an information gap that currently exists in the United States, supported by philanthropy and government in the absence of a current analogous government survey. While the Data Foundation and other organizations are encouraging the federal government to launch similar, larger-scale efforts in coming months, data collection now is vital to our country’s future choices and we cannot wait for the government to act. Importantly, this information will be critical for policymakers in determining future actions for stay-at-home orders, social distancing policies, and other actions to combat the virus.
US COVID-19 Deaths by Sex and Age
One of the most common questions and discussions when it comes to mortality and potential impact is usually around how it is effecting different age groups. data.world’s Brett Hurt, as a part of some of his strategic advising roles, decided to take a look at this specific data slice and share his results with the broader community. This data view is sourced from the US CDC data via their open API and is set to stay up to date on a daily basis. This project is actively soliciting feedback and participation.
The COVID Tracking Project
The COVID Tracking project is a United States-centric site that compiles information on the latest numbers on tests, confirmed cases, hospitalizations, and patient outcomes from every US state and territory, and more. Partnering with the Antiracist Research and Policy Center, they have also advocated for and published data on race and coronavirus. Thanks to their efforts you can now view race and ethnicity data from the 49 states or territories that report cases, and 48 that report deaths.
“Testing is a crucial part of any public health response, and sharing test data is essential to understanding this outbreak. The CDC is currently not publishing complete testing data, so we’re doing our best to collect it from each state and provide it to the public. The information is patchy and inconsistent, so we’re being transparent about what we find and how we handle it—the spreadsheet includes our live comments about changing data and how we’re working with incomplete information.”
Hospital Bed Capacity Tracking, Presented by Harvard Global Health Institute
COVID-19 Scholarly Research Articles, presented by the Allen Institute for AI
On March 16, 2020, the White House issued a call to action to the tech community regarding the dataset, asking experts “to develop new text and data mining techniques that can help the science community answer high-priority scientific questions related to COVID-19.”
EPA Approved Disinfectants, presented by Smarter Sorting
Smarter Sorting took that list and matched it up against its database of consumer chemical goods. It is currently the only available source that maps Environmental Protection Agency (EPA) Registration Numbers directly to Universal Product Codes (UPCs). By matching on EPA Registration Numbers, Smarter Sorting is creating a growing list of UPCs and Product Names to make it easier for consumers to find these disinfectants.
For more on the initiative, check out Smarter Sorting’s recent blog post on the topic.
More coronavirus-related datasets on data.world
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