OPEN ACCESS – Corona Virus: Exploring Causes and Cures through Literature Based Discovery

Corona Virus — Exploring Causes and Cures through Literature Based Discovery

As part of the US National Science Foundation (Award #2029673) RAPID project titled “Corona Virus — Exploring Causes and Cures through Literature Based Discovery,” this site will support use of bibliometric and text analytic methods to help researchers elicit virus attributes, investigate contributing causes, and identify biomarkers.

1. Download a PDF Summary of key findings in the COVID-19  literature. (LAST UPDATE JULY 29, 2020). An archive of past bi-weekly summaries can be found here. Leave a Reply in the comment field below to offer suggestions, requests, etc.

Dataset Background

The search query was applied to the legacy version of the PubMed database [by shifting from “PMC’ via pull-down to “PubMed”]

  • “COVID-19” OR Coronavirus OR “Corona virus” OR “2019-nCoV” OR “SARS-CoV” OR “MERS-CoV” OR “Severe Acute Respiratory Syndrome” OR “Middle East Respiratory Syndrome”[1]

[1] In MEDLINE detail:  “COVID-19″[All Fields] OR (“coronavirus”[MeSH Terms] OR “coronavirus”[All Fields]) OR “Corona virus”[All Fields] OR “2019-nCoV”[All Fields] OR “SARS-CoV”[All Fields] OR “MERS-CoV”[All Fields] OR “Severe Acute Respiratory Syndrome”[All Fields] OR “Middle East Respiratory Syndrome”[All Fields].

Interested in analyzing the Coronavirus Pubmed dataset on your own?

2. Download a cleaned/refined PubMed coronavirus data-set ready for analysis in VantagePoint text-mining software. Dataset updated bi-weekly beginning March 25, 2020. (LAST UPDATE JULY 29, 2020). More information can be found here.

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