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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Diagnostic accuracy of RT-PCR for detection of SARS-CoV-2 compared to a “composite reference standard” in hospitalized patients
This article has 17 authors:Reviewed by ScreenIT
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Infection fatality rate of SARS-CoV2 in a super-spreading event in Germany
This article has 22 authors:Reviewed by ScreenIT
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Deconditioning in people living with dementia during the COVID-19 pandemic: qualitative study from the Promoting Activity, Independence and Stability in Early Dementia (PrAISED) process evaluation
This article has 7 authors:Reviewed by ScreenIT
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Adjunctive Corticosteroids for COVID-19: A Retrospective Cohort Study
This article has 8 authors:Reviewed by ScreenIT
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Is increased mortality by multiple exposures to COVID-19 an overseen factor when aiming for herd immunity?
This article has 10 authors:Reviewed by ScreenIT
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Detecting Rapid Spread of SARS-CoV-2 Variants, France, January 26–February 16, 2021
This article has 10 authors:Reviewed by ScreenIT
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Time is of the essence: containment of the SARS-CoV-2 epidemic in Switzerland from February to May 2020
This article has 4 authors:Reviewed by ScreenIT
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Association between FIASMA psychotropic medications and reduced risk of intubation or death in individuals with psychiatric disorders hospitalized for severe COVID-19: an observational multicenter study
This article has 16 authors:Reviewed by ScreenIT
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A data driven change-point epidemic model for assessing the impact of large gathering and subsequent movement control order on COVID-19 spread in Malaysia
This article has 6 authors:Reviewed by ScreenIT
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Exploring options for reprocessing of N95 Filtering Facepiece Respirators (N95-FFRs) amidst COVID-19 pandemic: A systematic review
This article has 3 authors:Reviewed by ScreenIT