Prof. Dr. Hans Fangohr (European XFEL) will talk about his COVID 19 research.
Many scientists in the Hamburg metropolitan area are involved in research related to SARS-CoV-2 and the COVID-19 pandemic. In cooperation with the Helmholtz graduate school for Data Science in Hamburg (DASHH), the Leibniz ScienceCampus InterACt wants to increase the visibility of this research fostering new contacts and potential collaborations. Therefore, the new online Hamburg COVID-19 lecture series started on August 12th.
The series represents a unique platform for vivid exchange and takes place every two weeks with a 30-minute lecture and room for further discussions afterwards.
On Wednesday, November 04, at 4 pm Prof. Dr. Hans Fangohr (European XFEL) will present and explain his work done for a website which fosters Open Science COVID Analysis by enabling investigations of COVID-19 infections and deaths over time for numerous countries worldwide (http://oscovida.github.io).
The Open Science COVID Analysis (OSCOVIDA) project provides an open science portal at https://oscovida.github.io/ to display and investigate the COVID19 infections and deaths as a function of time for the US states, the districts in Germany, and most other countries in the world.
For each region, different observables are shown as a function of time: total infections and deaths, daily changes, the reproduction number and growth factor, and doubling times; this can be normalised by the population of the relevant region. Data sources are currently the Johns Hopkins University and the Robert Koch Institute. All the source code that creates the plots is open source, and provides a Python library to simplify download of current data and population numbers, and computation and display of the COVID tracking plots available on the website. The system is based on Jupyter notebooks, which users can execute in their browser (using the MyBinder project) to adapt the analysis to their own interests, or base additional studies on top of the framework. Some tutorials and additional data analysis studies are available, and further contributions are welcome.
For further information please contact the InterACt office or subscribe to our mailing list using the link https://bit.ly/3grlxxz.