Covid-19 and mobility data graphed

  1. Covid-19 data graphed using covidtracking.com data.
    1. This app shows US data.
    2. This app shows State data.
    3. This app shows State comparisons.
  2. Google mobility data graphed using Google data collected for assessing Covid-19 response and social distancing impact on the spread of the Covid-19 pandemic. "See how your community is moving around differently due to COVID-19."
    1. This app shows Country mobility comparisons. See worldometers.info for Covid-19 trends by country for comparison.
    2. This app shows Country and State mobility comparisons.
    3. This app shows US State and County mobility comparisons.
  3. Below is a graphic showing the states with the most growth first. The growth estimate is from the rise (rise over run) of the loess (or lowess) smoothing (the adjustable span or smoothing parameter has an initial value 0.25) for each state's new positive cases. It shows the states that have positive and negative trends. The more positive the trend, the more Covid-19 growth (including by count) in that state. Negative trends indicates Covid-19 receding in these states. Check out state data in section 1.b. above. This data updates daily, usually after 6:15PM EST.

    The latest Covid-19 trends by state are shown (more to the right is more growth in Covid cases).
  1. More COVID-19 links

    1. Covid Tracing results as shown in Los Angeles are showing workplaces as the main sources of spread.
    2. The Kansasan article on a natural experiment in mask wearing as some counties mandate masks and others do not.
    3. Vox article on "flying blind" due to inaccurate or manipulated Covid data.
    4. America's Covid Warning system with some interesting metrics.
    5. An article about Dennis Hassett's cubic model for an example of the current administrations ("beyond stupid") modeling of coronavirus.
    6. A cell phone mobility paper estimates Rt values in this Imperial College study.
    7. Track state by state Rt values at rt.live by Instagram founders Kevin Systrom and Mike Krieger.
    8. An interesting article about how simulation authors use R values, by the Washington Post.
    9. The Covid Traking Project sponsored by the Atlantic has the best aggregated (private and public) lab test data and has notes on how they gather their data.
    10. Hospital use projections from HealthData.org at the University of Washington's Institute for Health Metrics and Evaluation.
    11. From the PolicyLab at Childrens Hospital of Philadelphia projections based on cell phone activity.
    12. One from Microsoft Bing here.
    13. The State of Maryland Coronavirus page.
    14. The State of Virginia Coronavirus page.
    15. The District of Columbia Coronavirus page.
    16. A time series for US cases from Worldometer (check other countries (like China) here as well).
    17. Another list of Coronavirus web-sites.
    18. And one from Google google.com/covid19.