Methods

Using the combination of rentrez, easyPubMed, pubmed.mineR, tokenizers and hugo academic template in R envoriment it was possible to analyze scientific literature and build up the PlatCOVID WebPortal. We use the LitCOVID database as the first curation process, as they report a increase in sensibility for COVID-19 literature. Then, we selected articles that had abstracts available. A secondary search was done according to five categories: diagnosis, treatment, epidemiology, transmission signs & symptoms (Box 1). The analysis of the abstracts was performed by the linguistic structured by the level of sentence and word tokenization using the pubmed.mineR and tokenizer, respectively. The common words were extract from the outcomes (Box 2).


References


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