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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A live-attenuated SARS-CoV-2 vaccine candidate with accessory protein deletions
This article has 19 authors:Reviewed by ScreenIT
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Omicron-specific mRNA vaccination alone and as a heterologous booster against SARS-CoV-2
This article has 19 authors:Reviewed by ScreenIT
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Myopericarditis After COVID-19 Booster Dose Vaccination
This article has 5 authors:Reviewed by Rapid Reviews Infectious Diseases, ScreenIT
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SARS-CoV-2 variants of concern Alpha and Delta show increased viral load in saliva
This article has 7 authors:Reviewed by ScreenIT
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COVID-19 onset reduced the sex ratio at birth in South Africa
This article has 6 authors:Reviewed by ScreenIT
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Combined oropharyngeal/nares and nasopharyngeal swab sampling remain effective for molecular detection of SARS-CoV-2 Omicron variant
This article has 6 authors:Reviewed by ScreenIT
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Accuracy of rapid point-of-care antigen-based diagnostics for SARS-CoV-2: An updated systematic review and meta-analysis with meta-regression analyzing influencing factors
This article has 17 authors:Reviewed by ScreenIT
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SARS-CoV-2-specific T cells associate with inflammation and reduced lung function in pulmonary post-acute sequalae of SARS-CoV-2
This article has 11 authors:Reviewed by ScreenIT
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Structural factors associated with SARS-CoV-2 infection risk in an urban slum setting in Salvador, Brazil: A cross-sectional survey
This article has 21 authors:Reviewed by ScreenIT
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Co-infection with SARS-CoV-2 Omicron and Delta variants revealed by genomic surveillance
This article has 25 authors:Reviewed by ScreenIT