Compare
Covid-19 outbreaks, create your own plots!Claudius Gros /
Fabian Schubert / Carolin Roskothen Institute for Theoretical Physics —
Goethe University Frankfurt
Click on "Add Country" to add data blocks to the graph. Additional
options for each data block can then be found within the respective
patches listed under the graph.
Four types of data can be displayed: case and fatality counts, the number
of people having received full vaccination status and the effective
reproduction number. Click on "Choose Data" in the data block patch to select the
desired data. These quantities can be represented by their
daily numbers or their total number from the start of the pandemic
in 2020 by clicking on the respective buttons next to the y-axis.
You can also select the same country multiple times to compare e.g. cases and
deaths, sharing the same y-axis.
By clicking on "more" in the patches, you can find additional tweaking options.
This includes rescaling the data on the x- and y-axis, shifting the data in time
and adjusting the amount of smoothing by setting the averaging window.
Furthermore, you can choose the time window that is displayed and adjust
the color of the data block and the data points shown in the graph.
By default, the x-axis represents time. This can be changed by clicking
on "Choose x-Data". Here, you can choose from one of the data-blocks
that you added to your graph, using daily or total numbers. Naturally,
choosing a data block for the x-axis will exclude it from being displayed
on the y-axis, as not doing so would result in a diagonal line mapping the
data onto itself.
On top of the graph you can find one or more additional buttons (depending
on which data types are present in the graph) that specify how the data is normalized.
You can choose this normalization for the vaccinations, the reproduction number
and cases/deaths by clicking on the buttons, opening a dropdown menu with additional options.
For example, a typical choice for cases/deaths would be the total number within the last
seven days per 100,000 inhabitants.
Download the data currently displayed as a csv file using
.
The downloaded data includes all metadata on manual data modifications, such as
rescaling etc.. Note that you can either choose to download the
data of all graphs/countries currently shown within a single csv file using the download button at the bottom
right of the graph, as well as data for a single graph by clicking the download button
in the respective adjustment panel.
Export your plot to a png-image, using
.
For support please contact Fabian Schubert:
click to show email
Representations of an Epidemic Outbreak
Timeline: Data (case/total counts) as a function of time (date).
XI representation: I: daily counts (cases/fatalities) as a function of
X: total counts (cases/fatalities)
Time is implicit; allows to compare/extract parameters.
Graphics produced can be used both for private and commercial purposes,
when including the disclaimer "Produced using the Goethe Interactive COVID-19 Analyzer".
Online publications need to include a link to this website.
Data Protection
We notify that the used Covid-19 data may contain errors and
inconsistencies.