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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Interim Results of a Phase 1–2a Trial of Ad26.COV2.S Covid-19 Vaccine
This article has 27 authors: -
Efficient culture of SARS-CoV-2 in human hepatoma cells enhances viability of the virus in human lung cancer cell lines permitting the screening of antiviral compounds
This article has 12 authors:Reviewed by ScreenIT
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Hydroxychloroquine and mortality in COVID-19 patients: a systematic review and a meta-analysis of observational studies and randomized controlled trials
This article has 6 authors:Reviewed by ScreenIT
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COVID-19 pandemic risk analytics: Data mining with reliability engineering methods for analyzing spreading behavior and comparison with infectious diseases
This article has 2 authors:Reviewed by ScreenIT
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“The expediency of local modelling to aid national responses to SARS-CoV-2.”
This article has 3 authors:Reviewed by ScreenIT
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Estimation of country-level basic reproductive ratios for novel Coronavirus (SARS-CoV-2/COVID-19) using synthetic contact matrices
This article has 2 authors:Reviewed by ScreenIT
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A mathematical assessment of the efficiency of quarantining and contact tracing in curbing the COVID-19 epidemic
This article has 1 author:Reviewed by ScreenIT
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Neighbourhood-level risk factors of COVID-19 incidence and mortality
This article has 6 authors:Reviewed by ScreenIT
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Environmental Stability of SARS-CoV-2 on Different Types of Surfaces under Indoor and Seasonal Climate Conditions
This article has 3 authors:Reviewed by ScreenIT
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Inherent random fluctuations in COVID-19 outbreaks may explain rapid growth of new mutated virus variants
This article has 2 authors:Reviewed by ScreenIT