In this post, we will highlight several COVID-monitoring dashboards that we like. As many of you know, we released a sizable COVID monitoring dashboard for clients, combining numerous data sets, including financial, alternative and doc search data (blog and webinar). We surfaced some of the charts and some of the search results in a public coronavirus tracker page.
We do believe that monitoring financial, alternative and linguistic data sets can let you see more, and see it earlier: we wrote about the explosion in work from home on February 24th, the high likelihood of a recession on March 8th, the tide of guidance withdrawals on March 10th, and corporate liquidity hoarding to the tune of hundreds of billions on April 2nd (register for our webinar this Thursday on how to efficiently monitor revolver activity, capex cuts, furloughs, and more). We have also been using our Twitter data integration and visualization to watch for trends peaking, such as tweets containing cough and fever (peaked in mid-March, as did influenza-like symptom ER visits in NYC, discussed below) and tweets with “file unemployment” that started rising on March 12, two weeks ahead of the shocking headline numbers.
Government and Education Dashboards
NYC Health Syndromic Surveillance Data: this is ER visit data for several symptoms, doing back to 2016, in monthly, weekly, and daily format.
The most interesting data set is the “Influenza-like Illness” (ILI): to get the visualization across time and reporting frequency, click on the “Count” number for 2020, and adjust your timeframe and frequency in the data viz pop-up. We can see a very encouraging trend: ILI ER visit count has been dropping sharply since March 25th!
NYC Health Department: data for new cases, hospitalizations, and deaths
Given that NYC is the major epicenter of the crisis, we keep a close eye on the stats here even though they are lagging a bit (prior days get backfilled). Be sure to check out the links to the PDFs at the bottom with the Emergency Department surveillance data, the zip code density maps, and other data.
US Chamber of Commerce: the international affairs division has put together a global government actions dashboard by country, including local government websites, stimulus programs, import/export restrictions, travel restrictions, and more.
COVID-19 clinical trials dashboard from the National Institute of Health: there are over 330 trials listed on the NIH Clinical Trials dashboard. It is a real moonshot. This makes us very optimistic: we will always bet on human ingenuity.
Johns Hopkins University map: one of the original dashboards/maps, the site is great for “at-a-glance” global statistics, with click-through details.
Earnest Research (provider of credit card data) has been publishing insightful heat maps about consumer spending by category periodically. The company was early to spot the drop in travel and leisure through its panel data. The tracked entities are listed at the bottom of the page (the data itself is aggregated by broad category).
SimilarWeb (provider of web traffic and similar data) has a “Data and Insights” hub. The web traffic data is grouped by category, with the top sites and their trends listed alongside the category traffic. Perhaps to no one’s surprise, YouTube and Netflix traffic are up.
Open Table’s State of the Industry page: the restaurant bookings company was one of the first to put together data at a fairly granular level (country > state > city) and share it with the public in early March. It was a simple Google Sheet back then which now has its own online home. One could see the sharp dropoff in Seattle and NYC “before it was news.” With the industry largely in shutdown mode, now most indicators are at -100% but we will be watching for the reopening dynamics.
Employment services firm Candor has a dashboard that crowdsources employment dynamics at individual companies. While the dashboard headline says only “freezing”, the company-level information is much richer: still hiring, freezes, rescinding offers, etc. + company-specific comments, making it much more valuable in this suddenly difficult job market.
We like the 91-DIVOC tracker for the easy comparisons between countries and states, as well as its normalization by population for countries and states (in the bottom half of the page). Users can select data sets to highlight and easily switch between data sets (i.e. new cases), and between log and linear charts. The page is built by the University of Illinois CS Professor Wade Fagen-Ulmschneider.
Tableau’s Public site hosts this interesting country-by-country visualization from Jonas Nart. Users can select geographies, adjust for population, and much more.
If you are interested in finding out more about how Sentieo can dramatically improve your financial research workflow, please get in touch with us.