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Explore COVID-19 Publications

A lot of research articles concerning SARS-CoV-2/COVID-19 are published every day. Many of them, so-called pre-prints, are not reviewed in a professional reviewing process at the time of publication. Others are already reviewed and published in well-known journals. Collabovid helps researchers to identify the most relevant information by using Natural Language Processing. You can search for any topic you want below. Visit search to review all articles or browse a list of predefined categories. For additional help visit the frequently asked questions.

Helping researchers

Since January 2020, 76177 articles concerning the coronavirus were indexed by our service. Of these publications, 0 appeared today and 0 have been released in the past week. For researchers, it is impossible to review every single one manually. Therefore, Natural Language Processing techniques are needed to filter out the most relevant information and allow researchers to make faster progress in fighting the crisis.

Our data sources

Collabovid currently indexes COVID-19/SARS-CoV-2-related papers from medRxiv, bioRxiv, arXiv, Elsevier and PubMed. This dataset is updated automatically several times a day. We are working hard on including new data sources.

Find Relevant Research
Collabovid uses advanced machine learning techniques to analyze the content of every publication. We provide a semantic search that does not only look for exact keyword matches, but also extracts semantic information from the query to find more relevant publications.
A lot of publications are location-specific. We extract these locations and provide a world map where you can find all the named cities, regions and countries with their related papers.
Visual Exploration
The visualization shows every publication embedded in a 3D space where the position is determined by the publication's topic. Through interactive exploration in this space, we want to help researchers to identify connections between different articles and subjects.
Topic Extraction
We automatically classify the papers into eight broad categories and into 66 more fine grained topics. Filter by individual topics and explore which research fields emerge over time.
Analyze your Literature
Select from your favorite papers or upload an existing literature list from Zotero, Mendeley, EndNote and others to Collabovid. Afterwards you can find similar research to the given list of interesting papers.
Are you an Expert?
We are looking for medical researchers or other people that are currently working on COVID-19 publications to improve Collabovid and gain insights into your workflow. If you want to help us, please leave us a message.

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