Best Coronavirus Projections, Predictions, Dashboards and Data Resources

Check out this curated collection of coronavirus-related projections, dashboards, visualizations, and data that we have encountered on the internet.


Image course: BBC News


There is no shortage of coronavirus resources on the internet at the moment. Like coverage of the pandemic on the news, it seems to be the only thing you came across online at times. Some of it is good; some, not so much. We have paid attention to what we have found to be the best of these resources that we have come across — in the way of projections, dashboards and visualizations, and data — and share them with you here. Perhaps after seeing how others are presenting their visualizations, predictions, and interactions, and then exploring the data yourself, you might gain some insight into the virus or, just as importantly, into the process of data investigation.

There aren't any mainstream media articles among this collection; its focus is on the presentation and visualization of data, as well as sharing the underlying data itself, where available.

Here are the best of what we have come across in terms of coronavirus resources.

See also our up-to-date collection of resources and blogs at Topic: Coronavirus and COVID-19


This pair of projections rely on modeled data to answer forward-thinking contextual questions, such as "is your state ready to reopen?," as opposed to explicitly making specific case or death predictions.

  • COVID-19 Projections for many countries, and US and all 50 states
    This project comes from the experts at the University of Washington, and is described in an accompanying paper as "Forecasting the impact of the first wave of the COVID-19 pandemic on hospital demand and deaths for the USA and European Economic Area countries." Read more about the modeling in this FAQ.

    This is a set of infection projections for 2,100+ counties across the USA, employing real-time modeling and metrics. The project looks to be aiming to answer the question "Is your community ready to reopen?"


Dashboards and Visualizations

This is a list of websites with the main aim of providing dashboards and/or visualizations, static as well as interactive, for exploring COVID data in the browser.

  • Coronavirus tracked: the latest figures as countries fight to contain the pandemic
    This is Financial Times' latest news and charts on the coronavirus, where the FT " analyses the scale of outbreaks and the number of deaths around the world."

  • COVID-19 Dashboard by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University (JHU)
    This is the home of Johns Hopkins' real-time global cases and deaths tracker. Their data is also used as the basis by a variety of other services, some of which you will find on this page.

  • JMP Public Coronavirus COVID-19 Dashboard
    This is the Public Coronavirus COVID-19 Dashboard from JMP.

  • Microsoft Power BI Community COVID-19 Data Stories Gallery
    This Microsoft Power BI gallery reports "a detailed analysis of COVID-19 cases and deaths at the United States county level, based on data from the New York Times COVID-19 Github repository."

    This presents a slideshow of different coronavirus dashboard and map websites to browse, and at any point you can pause this slideshow to explore and interact with the individual websites.

  • NYTimes Coronavirus Map
    This is the New York Times' interactive set of coronavirus maps and visualizations. It has been made available outside of the NYTimes' paywall.

  • Lars van der Steen Tableau public dashboard
    This is a simple but effective Tableau dashboard from freelance data scientist Lars van der Steen.

  • Tableau resources, including Covid-19 viz gallery and Coronavirus data resources
    A number of COVID-19 resources form Tableau, including a visualizations gallery ("Curated Coronavirus visualizations from the Tableau community") and data resources ("Trusted Coronavirus (COVID-19) global data from our community experts").

  • Kinsa US Healthweather map, using internet connected thermometers to map the illness.
    A map and time series chart showing "how much influenza-like illness above the normal expected levels we have detected since March 1." Suggested uses (as per the website) include identifying areas where illness levels are unusually high, and investigating based on the fact that "we suspect that areas with illness levels that are higher than expected are likely to be early indicators of community spread of COVID-19."


Data on coronavirus

Lastly, here are some direct links to various COVID data repositories available online.

Hopefully some of these resources help provide you with the fuel for some COVID-related insights, or help you sharpen your data exploration, visualization, munging, or critical thinking skills.