Open Science COVID19 Analysis (OSCOVIDA) @OSCOVIDAproject

JHU data for cases in Germany much lower than RKI data - that’s unusual? See more detailed discussion at oscovida.github.io/2022-germany-r…

Job opportunity in Hamburg in my group as a Research Software Engineer for Data Science and High Performance Computing: Work and learn with scientists using Python, Jupyter, compiled languages, visualisation, HPC, ML, … Deadline: Sunday 23 Jan. 2022 mpsd-computational-science.github.io/vacancies.html

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New #OpenScience #Notebook: if the current exponential growth of #corona infections in Germany continues (R=1.25), what do the next 4 weeks look like? Static HTML at oscovida.github.io/2021-11-12-ger… And the executable and modifiable notebook is at mybinder.org/v2/gh/oscovida… @Panosc_eu

Props to @OSCOVIDAproject @ProfCompMod for github.com/oscovida/oscov… github.com/oscovida/oscov… / oscovida.github.io I see we have some overlapping work going on, which is great! :-) Love the project of yours!

Recent insight on downloaded data from @rki_de: deaths in downloaded data are reported with the date of infection, not the date of death. [This can be misinterpreted as a delay in reporting.] More detailed summary at oscovida.github.io/2020-germany-r… #RKI #COVID19 #deaths #meldeverzug

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How did #Thanksgiving affect #COVID cases in the US? A look at the #JHU numbers for that period at oscovida.github.io/2020-thanksgiv…

Germany about to go into stricter lockdown: Blue are the daily infections, red the daily deaths which have now reached the order of 500 per day in Germany. Detailed data and plots at oscovida.github.io/html/Germany.h…, data from #JHU.

Quick study to investigate oscillations in reported infections in Germany oscovida.github.io/2020-05-10-not…. Execute the notebook on Binder and perform further analysis as per your wish. @ProjectJupyter @EuropeanXFEL Suggestions and improvements are welcome github.com/oscovida/oscov…

Reproduction number R - meaning, equations, and numerics to estimate R from reported infections at oscovida.github.io/r-value.html on the @OSCOVIDAproject pages. All code can be executed using @ProjectJupyter Notebooks on Binder (@mybinderteam). Improvements and feedback welcome

Hungarian contribution to PaNOSC @OSCOVIDAproject allows following #COVID19 pandemic in the country at county level, providing citizens and the government w valuable data to take appropriate measures to deal w the pandemic. 👉bit.ly/HungarianContr… #OpenScience #CitizenScience

#OpenScience #COVID19 analysis platform OSCOVIDA: Developed as part of @Panosc_eu, new tool offers plots of cases to analyse spread of the disease on different timeframes & geographical scales. The code can also be re-used to build new tools: More👉bit.ly/2B8gySK

Looking at reported new infections in the last week, #Brazil has overtaken the #US today: oscovida.github.io/countries.html #COVID19 #Tracker

Discover @OSCOVIDAproject: oscovida.github.io, the PaNOSC #OpenScience COVID Analysis platform tracking data about #COVID19 worldwide. Prof. Hans Fangohr (@ProfCompMod) explained to us its features & scope. Read the article & watch the interview: 👉bit.ly/2XsDkwg

#Brazil and #Russia have overtaken the UK in terms of reported #COVID19 cases. See oscovida.github.io/countries.html, and details for Russia (oscovida.github.io/html/Russia.ht…) and Brazil (oscovida.github.io/html/Brazil.ht…). Brazil looks like it will keep climbing. #OpenScience

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This is an excellent example of #openscience where citizens can understand and analyse the raw data on #Covid_19 themselves. The use of #Jupyter notebooks demonstrates the power of interactive data science. #panosc_eu supports this project.

Open Science COVID19 Analysis (OSCOVIDA) @OSCOVIDAproject

5 years ago

This is an excellent example of #openscience where citizens can understand and analyse the raw data on #Covid_19 themselves. The use of #Jupyter notebooks demonstrates the power of interactive data science. #panosc_eu supports this project.

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News headline “Germany’s daily cases increasing”: Open Science analysis shows COVID19 daily cases decreasing when time averaged oscovida.github.io/bbc-news-repor… #OpenScience #Jupyter #myBinder @Panosc_eu @ProjectJupyter @mybinderteam

#OpenScience for #COVID19 time development analysis: are the measures taken sufficient to reduce the spread? Updated daily with latest numbers at oscovida.github.io

Daily updated #COVID19 tracker for #Spain at oscovida.github.io/html/Spain.html

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Open Science data analysis of #COVID19 infections and deaths as a function of time at oscovida.github.io based on Johns-Hopkins data. Example data set for the US at oscovida.github.io/html/US.html Data and processing code can be inspected and re-executed. #OpenScience #FAIR