nCoVStats: Worldwide Coronavirus Visualization Mar 15 to Mar 30, 2020

We prepared another animation to visualize the dramatic coronavirus spread. Bear in mind: it shows just a two-weeks timeframe from mid March to end of March. For further analyses, please refer to our COVID-19 data analysis tool.

COVID-19 worldwide situation from Mar 15 to Mar 30, 2020:

Worldwide development of Coronavirus from Mar 15, 2020 to Mar 30, 2020

Worldwide development of Coronavirus from Mar 15, 2020 to Mar 30, 2020

Mid of Mar 2020, the world had a closer look on Italy 🇮🇹 because of the exponential growth of new infections. The United States of America 🇺🇸 introduced country-wide testing, so reported infections passed Italy. Thus, USA became #1 hotspot worldwide with more than 140k cases end of March 2020, i.e. 20% of all worldwide infections. At the same time, China 🇨🇳 stabilized at around 75k cases and reported only a very small number of new infections after restarting the local economy stepwise. End of March, more than 715k COVID-19 infections were reported worldwide.

This entry was posted by in News and tagged , , , on .

About Matthieu-P. Schapranow

Dr.-Ing. Matthieu-P. Schapranow is Leader of the Working Group "In-Memory Computing for Digital Health" and Scientific Manager Digital Health Innovations at the Hasso Plattner Institute (HPI). He is a valued member of the Platform Learning Systems and contributes to the Federal Association for Information Technology, Telecommunications and New Media (BITKOM) and the Global Alliance for Genomics and Health. Dr.-Ing. Schapranow holds a PhD as well as the MSc and BSc degrees in Software Engineering. He was named as one of the top Elite Researchers in Life Sciences in 2016 and one of Germany's Top 10 Junior Scientists in 2015. Furthermore, he was honored with the Personalized Medicine Convention Award 2015, the European Life Science Award in 2014, and the Innovation Award of the German Capital Region in 2012. Together with Prof. Dr. Plattner, he published the textbook "High-Performance In-Memory Genome Data Analysis" in 2013.