About

Column

Description

Reading the graphs
The plots are interactive and can be zoomed, panned and clicked on, to look at individual country traces. Click traces once to hide or show or twice to show only this trace. Some plots in Trends page are drawn in a log scale for the y-axis. Exponential growth in linear scale is represented as a straight curve on a log scale.

Confirmed: The number of people diagnosed with the Coronavirus disease. The differences in each countries reporting chain should be taken into account, and further discrepancies may exist due to highly dynamic nature of the situation.
Deaths: The number of people that died due to Coronavirus disease. Care must be taken in interpreting these numbers as countries have different definitions of deaths due to this disease.
Recovered: The number of people that recovered from the Coronavirus disease.
Active: This is calculated as Confirmed - Deaths - Recovered.
Mortality factor: This is an estimate for the percentage of diagnosed people dying within seven days of confirmed diagnosis, when the disease outbreak is in an extreme growth phase. When the disease spread is not in an extreme growth phase, it indicates the overall mortality based on the number of confirmed cases. For more information on this metric, please refer to the blog.

Data Sources
Johns Hopkins University Center for Systems Science and Engineering (JHU CCSE) Coronavirus repository and
worldometer.info


Changelog

October 25, 2020:
- Cumulative charts in state, world country trackers are removed.

May 12, 2020:
- Old blogs are removed to avoid misinformation and misquoting.

May 7, 2020:
- Landkreis page in Deutschland tracker now shows cumulative 7-day infections per 100k inhabitants.

April 21, 2020:
- USA tracker is added with prognosis for the federal states of USA.

April 20, 2020:
- Trend plots now have option to toggle y-axis from log to linear scale.
- Updated models for expected new cases

April 7, 2020:
- District and City level page is added under Deutschland Tracker. This comprehensive table shows the cumulative cases, daily new cases, current change in daily new cases, doubling times, and interim prognosis for each of 401 districts and cities (Landkreis) of Germany.
The data source is RiskLayer GmbH, who has been at the forefront of maintaining a crowdsourced, up-to-date database for cases across all districts in Germany.

April 2, 2020:
- World trend page is now divided into different geo-politcal regional blocks. For comparison, some reference countries are added with ability to toggle between showing or hiding the reference countries.

March 31, 2020:
- New countries are added to Prognoses page.
- Important events and measures taken are added to country level plots for Deutschland Tracker.

March 29, 2020:
- Added “Daily change in confirmed cases averaged over past 7 days” in “Prognosen” page.

March 27, 2020:
- Recovered cases are now made available again in the data curated by Johns Hopkins University. Hence the relevant charts are added back.

March 26, 2020:
- Given the increased scope of content presented here, including prognosis, trends, and a blog; the title of the the website is changed to “COVID-19 Biostatistics”.
- The English and German versions of the blog can be accessed under “Blog” navigation menu.
- A new page “Prognosen” was made available, which describes an interim prognosis in percentage for number of confirmed cases.

March 25, 2020:
- Data from Johns Hopkins University changed it’s format.
- No “Recovered” cases are updated anymore. Hence charts on this site showing “Active” and “Recovered cases” were removed.


Known Issues
- After typing in search fields of the tables, some letters in spellings may be hidden. This is resolved on refreshing the page.


Package Credits

Preprint Article

Federal (Bundesstaat)

Row

3,659,990 (+ 2328 )

87,461 (+ 32 )

3,425,380 (+ 15340 )

2.42

Row

Cumulative cases

Source: Johns Hopkins University Center for Systems Science and Engineering (JHU CCSE) Coronavirus repository and worldometer.info The diagrams are interactive with the ability to zoom and pan. You can click on the data series in the legend to hide or show them. Hovering the mouse pointer reveals the value of the data points.

Daily new infected cases

Source: Johns Hopkins University Center for Systems Science and Engineering (JHU CCSE) Coronavirus repository and worldometer.info The diagrams are interactive with the ability to zoom and pan. You can click on the data series in the legend to hide or show them. Hovering the mouse pointer reveals the value of the data points.

Daily deaths

Source: Johns Hopkins University Center for Systems Science and Engineering (JHU CCSE) Coronavirus repository and worldometer.info The diagrams are interactive with the ability to zoom and pan. You can click on the data series in the legend to hide or show them. Hovering the mouse pointer reveals the value of the data points.

Mortality factor

Source: Johns Hopkins University Center for Systems Science and Engineering (JHU CCSE) Coronavirus repository and worldometer.info The diagrams are interactive with the ability to zoom and pan. You can click on the data series in the legend to hide or show them. Hovering the mouse pointer reveals the value of the data points.

Districts & Cities (Landkreis)

Column

Current Prognosis

Doubling time of number of cases is shown in days. The calculation is based average change over the past week.
An interim prognosis for change in new infected cases is the estimated and shown in the column “Short term trend for new confirmed cases (1-3 days)”. The corresponding uncertainty limits (80% confidence level) are also reported in the adjacent column. Moreover, since many district and city authorities do not report new cases during the weekend, there is a recurring trend of reduction in new cases over the weekend. In our calculation this systematic factor is taken into consideration.

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