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Early in the Epidemic: Impact of Preprints on Global Discourse of 2019-nCoV Transmissibility.
Majumder, Maimuna S; Mandl, Kenneth D.
  • Majumder MS; Computational Health Informatics Program.
  • Mandl KD; Computational Health Informatics Program.
SSRN ; : 3536663, 2020 Feb 12.
Article in English | MEDLINE | ID: covidwho-679347
Preprint
This scientific journal article is probably based on a previously available preprint. It has been identified through a machine matching algorithm, human confirmation is still pending.
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ABSTRACT
As of February 11, 2020, more than 43,000 cases of a novel coronavirus (2019-nCoV) have been reported worldwide. Using publicly available data regarding the transmissibility potential (i.e. basic reproduction number) of 2019-nCoV, we demonstrate that relevant preprint studies generated considerable search and news media interest prior to the publication of peer-reviewed studies in the same topic area. We then show that preprint estimate ranges for the basic reproduction number associated with 2019-nCoV overlap with those presented by peer-reviewed studies that were published at a later date. Taken together, we argue that preprints are capable of driving global discourse during public health crises; however, we recommend that a consensus-based approach - as we have employed here - be considered as a means of assessing the robustness of preprint findings prior to peer review.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Qualitative research Language: English Journal: SSRN Year: 2020 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Qualitative research Language: English Journal: SSRN Year: 2020 Document Type: Article