ScreenIT
The Automated Screening Working Groups is a group of software engineers and biologists passionate about improving scientific manuscripts on a large scale. Our members have created tools that check for common problems in scientific manuscripts, including information needed to improve transparency and reproducibility. We have combined our tools into a single pipeline, called ScreenIT. We're currently using our tools to screen COVID preprints.
Latest preprint reviews
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Prediction of the need for intensive oxygen supplementation during hospitalisation among subjects with COVID-19 admitted to an academic health system in Texas: a retrospective cohort study and multivariable regression model
This article has 8 authors:Reviewed by ScreenIT
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Length of hospital stay and risk of intensive care admission and in-hospital death among COVID-19 patients in Norway: a register-based cohort study comparing patients fully vaccinated with an mRNA vaccine to unvaccinated patients
This article has 8 authors:Reviewed by ScreenIT
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COVID-19 trajectories among 57 million adults in England: a cohort study using electronic health records
This article has 304 authors:Reviewed by ScreenIT
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Modeling the disruption of respiratory disease clinical trials by non-pharmaceutical COVID-19 interventions
This article has 13 authors:Reviewed by ScreenIT
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SARS-CoV-2 testing and COVID-19 related primary care use among people with citizenship, permanent residency, and temporary immigration status in British Columbia: Cross-sectional analysis of population-based administrative data
This article has 11 authors:Reviewed by ScreenIT
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Cumulative incidence of SARS-CoV-2 and associated risk factors among healthcare workers: a cross-sectional study in the Eastern Cape, South Africa
This article has 7 authors:Reviewed by ScreenIT
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Favipiravir In Adults with Moderate to Severe COVID-19: A Phase 3 Multicentre, Randomized, Double-Blinded, Placebo-Controlled Trial
This article has 9 authors:Reviewed by Rapid Reviews Infectious Diseases, ScreenIT
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SARS-CoV-2 antibodies and breakthrough infections in the Virus Watch cohort
This article has 17 authors:Reviewed by ScreenIT
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A Flexible Data-Driven Framework for COVID-19 Case Forecasting Deployed in a Developing-world Public Health Setting
This article has 16 authors:Reviewed by ScreenIT
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Surveillance of Safety of 3 Doses of COVID-19 mRNA Vaccination Using Electronic Health Records
This article has 16 authors:Reviewed by ScreenIT