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covid-19-vis

This repository contains data visualizations based on RKI and DIVI using kepler.gl

Newest Simulation: Germany BY, NI, NW, RP, MV, SN, ST, TH, SH, HH, BR, BB, BE, BW, SR 2020-03-31 50% of ICU beds for COVID-19 with age distribution

Hystreet (activity of pedestrians in a city) as color (yellow - many, red - a few), covid-19 case growth 7 days later (circle size):

The covid-19-vis project is a simulation and visualization project that predicts when the intense care unit (ICU) bed capacity of a certain region will be reached. It connects best in class software projects (https://github.com/neherlab/covid19_scenarios/, https://github.com/keplergl/kepler.gl) with most recent data from John Hopkins University, Robert-Koch-Institut, DIVI Intensivregister and the federal statistical office of Germany. The ICU capacity data was exclusively released for this project and is available in the following folder https://github.com/ManuelB/covid-19-vis/tree/gh-pages/germany/its-beds The collection process for this data is still running.

A recent video that compares two scenarios on YouTube received ~6.000 views in the last 4 days. The author also released a how-to video that explains how to create an own simulation e.g. for another country.

The simulation results can directly be read from GitHub into kepler.gl: https://kepler.gl/demo?mapUrl=https://raw.githubusercontent.com/ManuelB/covid-19-vis/gh-pages/simulation/RP-NW_Landkreise_Intensivbetten_Strong_Mitigation_With_Age_On_District_keplergl.json

Screenshots

Screenshot 1 Screenshot 2 Screenshot 3 Screenshot 4 Screenshot 5 Screenshot 6 Germany Kreise 2020-03-20 with Covid-19 confirmed cases Germany Simulation 2020-03-27 Germany Kreise with Hospitals When will Germany's hospitals reach full capacity How is the situation in the 478 hospitals in the DIVI Intensivregister

Kepler.gl

The author created a website that can be used to generate files that can be used in kepler.gl to visualize Corona spread. Go on the website and click on the G in the upper left corner. This will generate a file named Covid19Data.geojson

With the following links you can explore the data for yourself:

YouTube

Website

The interactive website (GitHub Page) can be found here: https://manuelb.github.io/covid-19-vis/

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This repository contains data visualizations based on RKI and DIVI using kepler.gl

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