Daily Analysis of COVID-19 Data from Johns Hopkins University¶
An open source resource to support interpretation of COVID-19 case data.
An open source resource to support interpretation of COVID-19 case data.
Updated every 6 hours. Last update: 2022-03-29 04:05 UTC
Josef Kellndorfer, Ph.D., Earth Big Data, LLC; Richard Signell, Ph.D.
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CAUTION regarding the interpretation of Johns Hopkins COVID-19 data:
The daily data provided by Johns Hopkins tend to contain some errors, often fixed the next day. See Data Sources section for community feedback.
More and more studies estimate COVID-19 detection reported in daily data to be a small fraction (as low as 5 to 6 percent) of confirmed cases and fatalities. Thus, critical interpretation of the daily Johns Hopkins data is advised when assessing the scale of the COVID-19 pandemic. Please see the Suggested Reading/Watching section.
NOTE: You can hover over plots to see actual numbers. For more details see Interacting with the plots.
Introduction: Population Normalization and Logarithmic Scaling
Interacting with the plots
Confirmed Cases: USA
Confirmed Cases: Germany
Latest Top 12 Countries Total Cases and Deaths
Latest per Capita Confirmed Cases and Deaths
Daily: Countries
Timeline Daily Confirmed Cases
Timeline Daily Deaths
Daily: Selected U.S. States
Timeline U.S. Daily Confirmed Cases
Timeline U.S. Daily Deaths
Timeline U.S. Daily Cases/Deaths
Daily: Massachusetts Counties
Timeline MA Daily Confirmed Cases
Timeline MA Daily Deaths
Cumulative: Countries
Confirmed Cases: Country Comparison
Deaths: Country Comparison
Cumulative: U.S. States
Confirmed Cases: U.S. States Comparison
Deaths: U.S States Comparison
Cumulative: Cape Cod and Islands
Cape Cod and Islands Confirmed Cases
Cape Cod and Islands Deaths
Latest Case Fatality Rate
Caste Fatality Rate Timeline
Selected U.S. Counties
Selected Counties: Confirmed Cases
Selected Counties: Deaths
Timeline: Massachusetts Counties
MA Counties: Confirmed Cases per Capita
MA Counties: Deaths per Capita
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These plots show the daily status of COVID-19 cases as reported by Johns Hopkins University. We want to caveat the data analysis and interpretation:
We chose to plot totals and numbers normalized by population (expressed as per 100,000). Also, it is advantageous to plot case totals (confirmed infections, deaths) in logarithmic scale where trends and parallels between countries become more obvious. Note, that a straight line trending upwards in logarithmic scale indicates exponential increase! Taking a close look at the plots, one will discern differences and similarities, and that for the most part initial stages are similar in all countries with a time lag. What to look out for is whether the measures taken by countries, foremost social distancing show the desired effects of slowing and eventually levelling out the exponential upwards trends. We produce plots for confirmed cases and deaths, which may be somewhat more reliable with respect to an impact for a country while tests are rolled out in larger numbers. We also plot mortality rates, 3-day change curves and doubling rates of confirmend cases and deaths.
This is work in progress, stay tuned.
You can get the notebook underlying this work at: https://github.com/EarthBigData/covid19
Hover: See actual numbers when hovering over a plot.
Control buttons: Interact with the plots: Pan, Zoom in/out, Reset, Save.
Labels: In the legend, click on label to dim/highlight a specific country or state.
The following graphs show the timelines of daily confirmed cases and deaths (gray dots). The solid lines show the rolling mean of the last seven days at the date plotted. The left column (red lines) shows totals. Note that the y-axis range is adaptive to the number of confirmed cases/deaths. The right column (blue lines) shows the confirmed cases/deaths per capita (per 100,000). The y-axis range is kept constant to enable comparison between countries.
The following graphs show the timelines of daily confirmed cases and deaths (gray dots). The solid lines show the rolling mean of the last seven days at the date plotted. The left column (red lines) shows totals. Note that the y-axis range is adaptive to the number of confirmed cases/deaths. The right column (blue lines) shows the confirmed cases/deaths per capita (per 100,000). The y-axis range is kept constant to enable comparison between counties.
The following graphs show the timelines of daily confirmed cases and deaths (gray dots). The solid lines show the rolling mean of the last seven days at the date plotted. The left column (red lines) shows totals. Note that the y-axis range is adaptive to the number of confirmed cases/deaths. The right column (blue lines) shows the confirmed cases/deaths per capita (per 100,000). The y-axis range is kept constant to enable comparison between counties.