Last update: September 29th, 2020
At Helmholtz AI, we have tried to compile and would like to share some useful resources for everybody to better understand COVID-19, join the current research efforts and/or learn more about Helmholtz AI's areas of expertise - applied AI, ML, data science... - while at home.
We will keep this list updated as new initiatives come up. Stay safe!
Scientific COVID-19 resources
Helmholtz AI work on COVID-19
KIT researchers develop a new method using a seven-day non-causal filter for determining the R number
COVID19-Letalität: Den Daten auf der Spur (03/06/2020 - in German)
Wie hoch ist das Risiko, an COVID19 zu sterben? Ist eine Aussage dazu aufgrund der aktuellen Datenlage in Deutschland überhaupt möglich? Peter Steinbach, Helmholtz AI consultant team leader vom Helmholtz-Zentrum Dresden-Rossendorf sucht nach Antworten und führt eine Datenanalyse durch.
Data, data, data: which data can help us fight the virus? (08/05/2020 - in German)
Fabian Theis and Alice McHardy talk about data and the fight against COVID-19 at HIDA@re:publica.tv
Fabian Theis' research team has used single-cell analytics to find a potential molecular answer to this question.
Open access resources & publications on COVID-19
Online workshop series by the ELLIS society that will present projects on how to tackle COVID-19 using methods of machine learning and AI, carried out by leading international researchers.Research topics include outbreak prediction, epidemiological modelling, drug development, viral and host genome sequencing, and health care management. All events will be open to the general public via the ELLIS website.
The COVID-19 Data Portal was launched in April 2020 to bring together relevant datasets for sharing and analysis in an effort to accelerate coronavirus research. It enables researchers to upload, access and analyse COVID-19 related reference data and specialist datasets as part of the wider European COVID-19 Data Platform.
Here you will find expert, curated information for the research and health community on novel coronavirus (COVID-19). All resources are free to access and include guidelines for clinicians and patients.
LitCovid is a curated literature hub for tracking up-to-date scientific information about the 2019 novel Coronavirus. It is the most comprehensive resource on the subject, providing a central access to 1558 (and growing) relevant articles in PubMed. The articles are updated daily and are further categorized by different research topics and geographic locations for improved access. Powered by NIH.
To assist health workers and researchers working under challenging conditions to bring this outbreak to a close, The Lancet has created a Coronavirus Resource Centre. This resource brings together new 2019 novel coronavirus disease (COVID-19) content from across The Lancet journals as it is published. All COVID-19 content is free to access.
A collection of articles and other resources on the coronavirus outbreak, including clinical reports, management guidelines, and commentary. All NEJM content related to the COVID-19 pandemic is freely available.
The Science journals are striving to provide the best and most timely research, analysis, and news coverage of COVID-19 and the coronavirus that causes it. All content is free to access.
Since Singapore saw its first case of COVID-19 on 24 January 2020, the Saw Swee Hock School of Public Health has been collating the emerging evidence base and producing a weekly COVID-19 Science Report for researchers, policymakers and regional colleagues. The reports are based on searches of research databases, relevant journals, science reports and expert comment. Although the reports are regularly updated, they are not exhaustive and new research will be added regularly. Research from specialist teams in Singapore is also included.
Frontiers has launched an interdisciplinary research topic related to the COVID-19 epidemic. Submissions are welcome for the following article types: original research, review, mini-reviews, systematic reviews, research protocol, opinion and hypothesis. Due to the exceptional nature of the COVID-19 situation, Frontiers is waiving all article publishing charges for COVID-19 related research.
Global research on coronavirus disease (COVID-19) - World Health Organization (WHO)
WHO is gathering the latest scientific findings and knowledge on coronavirus disease (COVID-19) and compiling it in a database. They update the database daily from searches of bibliographic databases, hand searches of the table of contents of relevant journals, and the addition of other relevant scientific articles that come to our attention. The entries in the database may not be exhaustive and new research will be added regularly.
The HCA community, in partnership with disease consortia, is committed to contributing their scientific expertise to combat the COVID-19 pandemic. They have acted quickly to analyze their existing data to glean insights into the biology of the disease, and to openly release these data and analyses as rapidly as possible.
During these challenging times and using our expertise and resources, our goal at Helmholtz Zentrum Munich is to make significant contributions to the fight against the pandemic as efficiently as possible. We have established the fightCOVID@HMGU task force which, under the leadership of Martin Hrabě de Angelis, has the responsibility of coordinating all relevant research projects and support activities. Some of the areas our projects cover include: Diagnostics, Cohorts & Genomics, Therapeutics, Data-based approaches.
Computational resources for COVID-19 research
JSC offer for epidemiology research on COVID-19
Jülich Supercomputing Centre (JSC) offers computing time and support on its High-Performance Computing (HPC) facilities for research on the COVID-19 virus. Resources for studies dealing with the spreading of the virus or with research on a medical or molecular level are offered unbureaucratically and rapidly to corresponding experts.
Since the end of March, computers of the Grid Computing Centre Karlsruhe (GridKa ) and the HPC systems of Karlsruhe Institute of Technology (KIT) are supporting the distributed computing projects Folding∂Home and Rosetta∂home , for example, to improve the understanding of the proteins of the SARS-CoV-2 virus.
While medical professionals are working around the clock to help those affected by COVID-19, PRACE partners, HPC centres, and research infrastructures are doing their bit by opening up their facilities for urgent/priority access to the HPC systems and other resources to support the research to combat the coronavirus.
The COVID-19 HPC Consortium encompasses computing capabilities from some of the most powerful and advanced computers in the world hoping to empower researchers around the world to accelerate understanding of the COVID-19 virus and the development of treatments and vaccines to help address infections. Consortium members manage a range of computing capabilities that span from small clusters to some of the very largest supercomputers in the world.
Real-time maps and statistics
Interactive simulator for COVID-19 infections developed by Martin Eichner (Epimos GmbH) and Markus Schwehm (ExploSYS GmbH), supported by IMAAC NEXT Association.
Johns Hopkins Coronavirus Resource Center
Interactive web-based dashboard hosted by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University, to visualize and track reported cases of COVID-19 in real-time.
COVID-19 resources for the general public
Updated information about the COVID-19 outbreak from official sources
Free online courses on COVID-19
5-hour beginner-level course on epidemiology. Organised by Johns Hopkins University.
What is COVID-19 and how might the outbreak affect you? Find out more about coronavirus and explore its worldwide implications. Three-week online course, 4 hours of weekly training. Organized by London School of Hygiene & Tropical Medicine.
Practical advice and support around how to respond to the Novel Coronavirus pandemic as a front-line healthcare professional. Two-week online course, 2 hours of weekly training. Organized by St George's, University of London.
Data science / Statistics / Programming / AI / ML courses
Core Facility Statistical Consulting courses (for HMGU personnel)
As long as the Corona-pandemic is active, the HMGU Core Facility Statistical Consulting will provide its courses (on R, statistics, reproducible and open research...) in an online version. Please consider the requirements at the course homepages.
Our colleague Heidi Seibold, from Helmholtz Zentrum Munich's Institute of Computational Biology, is teaching two "Introduction to Machine Learning" courses completely online. Join #intro2ml!
MOOCs for biomedical data science funded by the NIH BD2K initiative. The courses are divided into the Data Analysis for the Life Sciences series, the Genomics Data Analysis series, and the Using Python for Research course.
Active programmes: Data Science, Genomic Data Science, Executive Data Science, Mastering Software development in R, Advanced Statistics
Predictive policing, medical robots, smart homes and cities, artificial intelligences - we can all think about how any of those could go wrong. Discover how we can build a future where they are done right through this MOOC by University of Edinburgh.
Ivy League schools (Brown, Harvard, Cornell, Princeton, Dartmouth, Yale, and Columbia universities, and the University of Pennsylvania) are among the most prestigious colleges in the world. They are also highly selective and extremely hard to get into, but the good news is that all these universities now offer free online courses across multiple online course platforms. Here is a curated selection, including courses on computer science, data science, programming, science and engineering.
Other courses and initiatives of interest
For students, teachers and parents: Experiments and online courses for at home. Thematically structured learning materials, from worksheets, experiments, videos, remote labs to online learning courses and app recommendations - free access for everyone.
Hands-on activities to help children (aged 8-14) think like scientists, mathematicians or engineers with free didactic units and materials.
15x4 is a series of non-commercial science communication events happening in different countries around the world. Here you can browse across many different research fields for inspiring, insightful 15-minute talks.
Engaging scientific talks from the Science Slam events - speakers are scientists who have been trained in a workshop to be able to clearly and precisely communicate their findings in order to advance their personal careers, scientific knowledge and public awareness.