About: The collective wisdom in the COVID-19 research: comparison and synthesis of epidemiological parameter estimates in preprints and peer-reviewed articles

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: The collective wisdom in the COVID-19 research: comparison and synthesis of epidemiological parameter estimates in preprints and peer-reviewed articles Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	The collective wisdom in the COVID-19 research: comparison and synthesis of epidemiological parameter estimates in preprints and peer-reviewed articles
Creator	Cao, Zhidong Luo, T Wang, Y Kong, Hong Luo, Zhang, Q Phd, Zeng Daniel, Dajun Phd, Cao Wang, Yuejiao Zeng, Qingpeng Zhang, Tianyi
source	MedRxiv
abstract	Background Research papers related to COVID-19 have exploded. We aimed to explore the academic value of preprints through comparing with peer-reviewed publications, and synthesize the parameter estimates of the two kinds of literature. Method We collected papers regarding the estimation of four key epidemiological parameters of the COVID-19 in China: the basic reproduction number (R0), incubation period, infectious period, and case-fatality-rate (CFR). PubMed, Google Scholar, medRxiv, bioRxiv, arRxiv, and SSRN were searched by 20 March, 2020. Distributions of parameters and timeliness of preprints and peer-reviewed papers were compared. Further, four parameters were synthesized by bootstrap, and their validity was verified by susceptible-exposed-infectious-recovered-dead-cumulative (SEIRDC) model based on the context of China. Findings 106 papers were included for analysis. The distributions of four parameters in two literature groups were close, despite that the timeliness of preprints was better. Four parameter estimates changed over time. Synthesized estimates of R0 (3.18, 95% CI 2.85-3.53), incubation period (5.44 days, 95% CI 4.98-5.99), infectious period (6.25 days, 95% CI 5.09-7.51), and CFR (4.51%, 95% CI 3.41%-6.29%) were obtained from the whole parameters space, all with p<0.05. Their validity was evaluated by simulated cumulative cases of SEIRDC model, which matched well with the onset cases in China. Interpretation Preprints could reflect the changes of epidemic situation sensitively, and their academic value shouldn't be neglected. Synthesized results of literatures could reduce the uncertainty and be used for epidemic decision making. Funding The National Natural Science Foundation of China and Beijing Municipal Natural Science Foundation.
has issue date	2020-07-24(xsd:dateTime)
bibo:doi	10.1101/2020.07.22.20160291
has license	medrxiv
sha1sum (hex)	3d32d4a90a5a0fe4b1e168860f11e508a4368600
schema:url	https://doi.org/10.1101/2020.07.22.20160291
resource representing a document's title	The collective wisdom in the COVID-19 research: comparison and synthesis of epidemiological parameter estimates in preprints and peer-reviewed articles
resource representing a document's body	covid:3d32d4a90a5a0fe4b1e168860f11e508a4368600#body_text
is schema:about of	named entity 'scientists' named entity 'preprints' named entity 'terms' named entity 'biased' named entity 'data' named entity 'news' named entity 'validity' named entity 'Google' named entity 'preprints' named entity 'limited' named entity 'scientists' named entity 'parameter estimation' named entity 'formally' named entity 'preprints' named entity 'parameter estimation' named entity 'epidemiological' named entity '95% CI' named entity 'data interpretation' named entity 'preprints' named entity 'COVID-19' named entity 'preprints' named entity 'epidemiological' named entity 'bioRxiv' named entity 'preprints' named entity 'peer-reviewed' named entity 'incubation period' named entity 'SSRN' named entity 'Hubei Province' named entity 'preprint' named entity 'preprints' named entity 'peer-reviewed publications' named entity 'peer-reviewed' named entity 'DDZ' named entity 'peer-reviewed' named entity 'peer-reviewed' named entity 'preprints' named entity 'quarantine' named entity 'incubation period' named entity 'Google scholar' named entity 'incubation period' named entity 'preprint' named entity 'Google Scholar' named entity 'February 12' named entity 'preprints' named entity 'preprints' named entity 'medRxiv' named entity 'epidemiological' named entity 'bootstrap method' named entity 'COVID-19' named entity 'epidemic' named entity '95% CI' named entity 'scientific data' named entity '95% CI' named entity '95% CI' named entity 'China' named entity 'incubation period' named entity 'preprints' named entity 'epidemiological' named entity 'February 13' named entity '95% CI' named entity 'epidemic' named entity 'New England journal of Medicine' named entity '95% CI' named entity 'epidemic' named entity 'preprint' named entity 'preprint' named entity 'China' named entity 'preprints' named entity 'preprints' named entity '95% CI' named entity 'preprints' named entity 'preprints' named entity 'peer-reviewed' named entity 'bootstrap method'

Faceted Search & Find service v1.13.91 as of Mar 24 2020

Alternative Linked Data Documents: Sponger | ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2025 OpenLink Software