Frequently Asked Questions
Q: What is the purpose of this resource?
A: To provide a portal to the entire biomedical literature focussed on SARS-CoV-2, MERS-CoV and SARS-CoV. It categorises papers into a set of topics to make it easier to find relevant research and indexes by important concepts (e.g. drugs, proteins, locations, etc).
Q: How do I find papers that mention a specific therapeutic?
A: We find drug names extracted from Wikidata in papers and use a set of synonyms to extract them.
Q: What machine learning methods are used in this resource?
A: We use supervised machine learning to identify the topics of the papers. A set of papers has been annotated with relevant topics and used as training data for a system that uses the text of the title and abstract to make predictions. This is complemented with heuristics to identify specific topics, e.g. clinical trial registration numbers.
Q: Are all the papers manually curated?
A: No. A small number have been manually curated and machine learning has been used to predict the topics for all other papers
Q: Is this up-to-date?
A: Yes. The latest version of PubMed and the CORD-19 dataset are downloaded and processed every day.
Q: I've found a mistake with a paper. What should I do?
A: Please flag the paper using the Flag Mistake button on the paper or use the Feedback page.
Q: Who created this resource?
Q: How do I cite this research?
A: There is currently a paper in preparation. Please cite that when it becomes available.
Q: Who should I contact to ask a question?
A: Please contact Jake Lever at firstname.lastname@example.org
Q: What other projects and resources does this website rely upon?
A: This website is built using NextJS and uses the SB Admin 2 MIT-licensed Bootstrap template. This website makes use of FontAwesome assets under a Creative Commons Attribution 4.0 International license. It uses ChartJS with react-chartjs-2 to render charts. It uses React Data Table for interactive tables. It also uses Leaflet with React Leaflet to render maps from OpenStreetMap.