Since 13th January 2020, 22484 articles concerning SARS-CoV-2 were published. Many of them are not reviewed in a professional reviewing process at the time of publication. Our objective is to develop an easy to use interface to access, sort and classify the huge amount of articles about the Coronavirus.
Frequently Asked Questions
- List and access published articles
- Sort and filter articles by publishing date, authors name, category, journal, location, title and content
- Get a list of recommended papers related to a specific question
- Classification of papers into one or more predefined categories
- List similar papers for a publication
- Find relations of articles to real-world locations. An overview is accessible as a world map.
Is Collabovid ready-to-use?
- Allow verified experts to evaluate and review the papers informally to introduce a discussion before the paper is published officially and provide indications for the quality of the articles
- Integrate new data sources
- Improve the search engine
Where does the research data come from?
How does it work?
Keyword Search: The keyword search uses Elasticsearch to find papers with matching keywords in their title, abstract or authors. Despite being very efficient when the user provides a good set of keywords, the search is not able to generalize the search query.
Category Assignment: The category assignment is computed by a machine learning algorithm. The model was trained with an existing dataset from LitCovid. LitCovid is a curated literature hub for tracking scientific information about SARS-CoV-2. Collabovid is an open source project that is licenced under GNU General Public License v3.0. The source code can be found at GitHub.
Join forces with Terminal’s engineering community to develop working solutions to fight COVID-19.Info page
Collabovid was one of the highlighted projects of the COVID-19 Global Hackathon. The hackathon was an opportunity for developers to build software solutions that drive social impact, with the aim of tackling some of the challenges related to the current coronavirus pandemic.Highlighted projects