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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Mathematical Modeling of Vaccines That Prevent SARS-CoV-2 Transmission
This article has 15 authors:Reviewed by ScreenIT
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Towards reduction in bias in epidemic curves due to outcome misclassification through Bayesian analysis of time-series of laboratory test results: case study of COVID-19 in Alberta, Canada and Philadelphia, USA
This article has 3 authors:Reviewed by ScreenIT
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Lung transplantation for patients with severe COVID-19
This article has 15 authors:Reviewed by ScreenIT
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Mefloquine, a Potent Anti-severe Acute Respiratory Syndrome-Related Coronavirus 2 (SARS-CoV-2) Drug as an Entry Inhibitor in vitro
This article has 17 authors:Reviewed by ScreenIT
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The effects of school closures on SARS-CoV-2 among parents and teachers
This article has 3 authors:Reviewed by ScreenIT
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Launching a saliva-based SARS-CoV-2 surveillance testing program on a university campus
This article has 46 authors:Reviewed by ScreenIT
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RETRACTED: Hydroxychloroquine and azithromycin as a treatment of COVID-19: results of an open-label non-randomized clinical trial
This article has 18 authors:Reviewed by ScreenIT
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Quantifying Proximity, Confinement, and Interventions in Disease Outbreaks: A Decision Support Framework for Air-Transported Pathogens
This article has 9 authors:Reviewed by ScreenIT
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Is sickle cell disease a risk factor for severe COVID‐19 outcomes in hospitalized patients? A multicenter national retrospective cohort study
This article has 8 authors:Reviewed by ScreenIT
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Examine the impact of weather and ambient air pollutant parameters on daily case of COVID-19 in India
This article has 2 authors:Reviewed by ScreenIT