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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Vitamin D and COVID-19 susceptibility and severity in the COVID-19 Host Genetics Initiative: A Mendelian randomization study
This article has 16 authors:Reviewed by Rapid Reviews Infectious Diseases, ScreenIT
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3D-Printed N95 Equivalent for Personal Protective Equipment Shortages: the Kansas City Mask
This article has 5 authors:Reviewed by ScreenIT
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Stochastic forecasting of COVID-19 daily new cases across countries with a novel hybrid time series model
This article has 3 authors:Reviewed by ScreenIT
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Nodosome Inhibition as a Novel Broad-Spectrum Antiviral Strategy against Arboviruses, Enteroviruses, and SARS-CoV-2
This article has 8 authors:Reviewed by ScreenIT
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A Cross-Sectional Analysis of Demographic and Behavioral Risk Factors of Severe Acute Respiratory Syndrome Coronavirus 2 Seropositivity Among a Sample of U.S. College Students
This article has 8 authors:Reviewed by ScreenIT
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Self-harm during the early period of the COVID-19 pandemic in England: Comparative trend analysis of hospital presentations
This article has 8 authors:Reviewed by ScreenIT
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Community prevalence of antibodies to SARS-CoV-2 and correlates of protective immunity in an Indian metropolitan city
This article has 14 authors:Reviewed by ScreenIT
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Reconstructing the course of the COVID-19 epidemic over 2020 for US states and counties: Results of a Bayesian evidence synthesis model
This article has 12 authors:Reviewed by ScreenIT
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Analysis of the number of deaths in Brazil between 2003 and 2020 and possible inferences about the COVID-19 pandemic and history of other diseases
This article has 2 authors:Reviewed by ScreenIT
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An imperfect tool: contact tracing could provide valuable reductions in COVID-19 transmission if good adherence can be achieved and maintained
This article has 13 authors:Reviewed by ScreenIT