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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Could a New COVID-19 Mutant Strain Undermine Vaccination Efforts? A Mathematical Modelling Approach for Estimating the Spread of B.1.1.7 Using Ontario, Canada, as a Case Study
This article has 5 authors:Reviewed by ScreenIT
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How to best test suspected cases of COVID-19: an analysis of the diagnostic performance of RT-PCR and alternative molecular methods for the detection of SARS-CoV-2
This article has 10 authors:Reviewed by ScreenIT
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Concurrent mutations in RNA-dependent RNA polymerase and spike protein emerged as the epidemiologically most successful SARS-CoV-2 variant
This article has 9 authors:Reviewed by ScreenIT
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Characterizing the transmission and identifying the control strategy for COVID-19 through epidemiological modeling
This article has 6 authors:Reviewed by ScreenIT
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Persistent heterogeneity not short-term overdispersion determines herd immunity to COVID-19
This article has 6 authors:Reviewed by ScreenIT
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Non-Congruent SARS-CoV-2 Waves in England
This article has 3 authors:Reviewed by ScreenIT
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Phylogenetic analysis of SARS-CoV-2 data is difficult
This article has 13 authors:Reviewed by ScreenIT
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A universal bacteriophage T4 nanoparticle platform to design multiplex SARS-CoV-2 vaccine candidates by CRISPR engineering
This article has 14 authors:Reviewed by ScreenIT
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Mathematical assessment of the impact of non-pharmaceutical interventions on curtailing the 2019 novel Coronavirus
This article has 7 authors:Reviewed by ScreenIT
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Serology-informed estimates of SARS-CoV-2 infection fatality risk in Geneva, Switzerland
This article has 102 authors:Reviewed by ScreenIT