HHS Coronavirus Data Hub: HHS needed a central way to make data collected by various operating divisions, including CDC, CMS, HRSA, and others, visible to first responders at federal, state, and local levels and it needed to collect this data as fast as possible. To fulfill this need, HHS built HHS Protect, a secure data ecosystem powered by eight commercial technologies for sharing, parsing, housing, and accessing COVID-19 data and driven by four principles: transparency, sharing, privacy, and security.
COVID-19 Research database: A public/private database created by a partnership including: Datavant, Health Care Cost Institute, Medidata, Mirador Analytics, Veradigm, Change Healthcare, Snowflake and many others research database enables public health and policy researchers to use real-world data to better understand and combat the COVID-19 pandemic. The database is a pro-bono, cross-industry collaborative, composed of institutions donating technology service, healthcare expertise, and limited and de-identified data. Data include health insurance and state mortality information.
Nextstrain tracks the strains of COVID-19 as they mutate and spread around the world. Scientists Richard Neher and Emma Hodcroft, at the University of Basel in Switzerland, created the website. Click on the site and watch the virus as it spreads around the world. Labs around the world are sequencing the genomes of the virus taken from people with COVID-19 and uploading it into a database overseen by Neher and Hodcraft, who then input the data for everyone to see.
The LA-based media production company Wondros created a COVID-19 Navigator, dashboard that has collated information about the disease from the Centers for Disease Control, Consumer Reports, CNN the National Institutes of Health, the LA Times, USA Today and the World Health Organization. The Dashboard features five buttons that lead to a deeper dive on facts about Covid-19, such, getting what you need, staying inside, staying safe and what happens next. For example, the “Getting What I Need” button covers advice on grocery shopping, ordering from restaurants, home deliveries, prescriptions and seeing the doctor for non-urgent needs. Another one covers myths about COVID-19, which says: Misinformation is circulating about the virus. First and foremost, COVID-19 is not a hoax. Also, hot baths, cold weather, UV lamps and pneumonia vaccination do not prevent coronavirus. For more myths and facts visit the World Health Organization website.
Stanford University’s Big Local News and Pitch Interactive — with support from the Google News Initiative — created the COVID-19 Case Mapper to make it possible for local journalists and others to easily embed up-to-date coronavirus map visualizations on their websites. The map offers state and county views, with a simple interface for embedding on a site. The numbers behind the map automatically update, pulling in data collected daily and made public by The New York Times. The goal was to make something easy for local journalists to use so they can concentrate on other important stories.
The Surgo Foundation, a philanthropy organization based in the U.S. and London, created this COVID-19 community vulnerability map, utilizing the Centers for Disease Control and Prevention's social vulnerability index data, which predicts the expected negative impact of any disaster. The tool is aimed at helping communities determine where best to allocate resources. Take a look to see if your community might be considered vulnerable.
The Kaiser Family Foundation has launched a COVID-19 state tracker that they expect to update daily. Among the state-level data you’ll find in the tracker: • COVID-19 cases and deaths • State policy actions, including emergency declarations; steps to waive cost sharing for COVID-19 testing and prior authorization requirements; paid sick leave; special enrollment periods in Affordable Care Act Marketplaces; early prescription refills and free cost vaccine for COVID-19 when one becomes available. • Provider capacity, including numbers of hospital beds as well as numbers of community health centers and health center delivery sites.
Guided by common values, Covid Act Now is a multidisciplinary team of technologists, epidemiologists, health experts, and public policy leaders working to provide disease intelligence and data analysis on COVID in the U.S. The site published its first version of the model on March 20. More than 10 million Americans have used the model since. They've engaged with dozens of federal, state, and local government officials, including the U.S. military and White House, to assist with response planning.
COVID-19 Projections(U.S. and state-by state data) from the Institute for Health Metrics and Evaluation (IHME), independent global health researchers at the University of Washington.
COVID-19 Compiler aims to display relevant data about the novel coronavirus outbreak in the United States. The goal is to provide a multidimensional view of COVID-19’s impact in counties across the US encompassing the mapping of vulnerable populations, state and local policies to reduce transmission, and data on medical / health care resources. The site is updated daily with the latest data available on the outbreak. This site was designed and developed by Topos, a machine learning and location intelligence startup based in Brooklyn, N.Y.
CDC’s National Center for Health Statistics has estimates on a selected number of key issues, such as loss of work due to illness with COVID-19, telemedicine access and use before and during the pandemic, and reduced access to specific types of health care due to the pandemic. The data come from the Research and Development Survey (RANDS), a platform designed for conducting survey question evaluation and statistical research. RANDS estimates were generated using an experimental approach that differs from the survey design approaches generally used by NCHS, including possible biases from different response patterns and increased variability from lower sample sizes. Use of the RANDS platform allowed NCHS to produce more timely data than would have been possible using traditional data collection methods. The first of two rounds of RANDS during COVID-19 data collection occurred between June 9, 2020 and July 6, 2020 and are presented on the web site. On Aug. 26, 2020, NCHS hosted a webinar on RANDS. To learn more, visit this link.
The National Association of County and City Health Officials (NACCHO), which represents the country’s nearly 3,000 local health departments, launched its COVID-19 Data Lab, a data tool for people to see the impact of the COVID-19 outbreak on local communities. NACCHO plans to keep evolving the site over time, as more information is gathered about the outbreak. In the first iteration, users can access the interactive COVID-19 Dashboard to explore the extent of COVID-19 tests, cases, and deaths in communities and counties. Going forward, additional data points will be included, as available, to provide clearer, more nuanced information critical to supporting the COVID-19 response at the community level. See the link here: https://covid19-naccho.hub.arcgis.com/
Two journalists, Robinson Meyer and Alexis Madrigal, built this tracker for a story in The Atlantic. The two efforts came together March 7, and made a call for volunteers to help keep the data updated, tune processes, work on scrapers, and make a website. Alexis Madrigal continues to lead the overall project. The COVID Tracking Project collects information from 50 US states, the District of Columbia, and five other U.S. territories to provide the most comprehensive testing data we can collect for the novel coronavirus, SARS-CoV-2. Volunteers managing this tracker attempt to include positive and negative results, pending tests, and total people tested for each state or district currently reporting that data.
The Johns Hopkins Center for Systems Science and Engineering built and is regularly updating an online dashboard for tracking the worldwide spread of the coronavirus outbreak that began in the Chinese city of Wuhan. The site displays statistics about deaths and confirmed cases of coronavirus, or 2019-nCoV, across a worldwide map. It also allows visitors to download the data for free. “We think it is important for the public to have an understanding of the outbreak situation as it unfolds with transparent data sources,” said Lauren Gardner, a civil engineering professor and Johns Hopkins’ Center for Systems Science and Engineering co-director,. "For the research community, this data will become more valuable as we continue to collect it over time.” The statistics behind the data visualization are being collected from the World Health Organization, the Centers for Disease Control and Prevention, the National Health Commission of the People's Republic of China, and Dingxiangyuan, a social networking site for health care professionals that provides real-time information on cases.
To track the disproportionate impact of COVID-19 on communities of color, the COVID-19 Tracking projected partnered with the Antiracist Research & Policy Center to create the COVID Racial data tracker.
The data allowed investigative data reporter Aaron Williams and graphics reporter Adrian Blanco to conclude that a majority of confirmed COVID-19 cases in Washington, D.C. are “in some of the city’s densest neighborhoods, which have large majority-minority populations as well as high rates of chronic health conditions," they told the Center for Health Journalism at USC Annenberg. The findings highlight long-standing health disparities which have left disadvantaged communities far more vulnerable during the pandemic.
The Radio Television Digital News Association published a comprehensive guide to understanding and reporting on COVID-19 data. The guide defines the meaning of positivity rate, infection rate, hospitalizations, recovered cases, fatalities and fatality rates, how they are each determined and offers cautionary notes on each data point. The guide also provides links to where to find these different data points on the Internet.
Journalists rely on data to confirm and inform key aspects of their reporting, often focusing on the worst performers in a given dataset and overlooking positive deviants — the people, businesses, organizations and lawmakers who are innovating creative responses to tackle their community’s toughest challenges. Datasets can be a good place to find these positive deviants, and we’ve compiled 15 that are tracking various aspects of COVID-19’s billowing sweep around the world. Over time, this data will help reveal who’s making progress, and what might be learned from it.