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Database of metadata for scholarly articles related to the Coronavirus Disease 2019

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jacobwells97/COVID19PublicationDataset

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COVID19 Publications Dataset

Database of metadata for scholarly articles related to the Coronavirus Disease 2019, for the purpose of analyzing the effectiveness of the academic response.

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Publication data is scraped through exported searches of the EBSCOhost search tool.

A persistent link to the search can be found here. This linked worked on a separate browser on 4/9/2020

Search query used was ( "covid-19" OR "COVID-19" ) OR "2019-nCoV" OR "Severe acute respiratory syndrome coronavirus 2" OR "SARS-CoV-2" OR "coronavirus disease 2019" OR "Wuhan coronavirus"

Results were limited to Scholarly (Peer Reviewed) Journals with publishing dates on or after November 2019. Databases queried include Academic Search Complete, CINAHL, eBook Academic Collection (EBSCOhost), eBook Clinical Collection (EBSCOhost), Health and Psychosocial Instruments, International Pharmaceutical Abstracts, MEDLINE, and Academic Search Ultimate.

Raw XML data is scraped and simple results are plotted:

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COVID-19 case data is retrieved from JHU's COVID-19 database:

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NASDAQ stock market data retrieved using Quandl's Python API:

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Database of metadata for scholarly articles related to the Coronavirus Disease 2019

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