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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Antimicrobial Use in COVID-19 Patients in the First Phase of the SARS-CoV-2 Pandemic: A Scoping Review
This article has 6 authors:Reviewed by ScreenIT
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A Novel Model for Simulating COVID-19 Dynamics Through Layered Infection States that Integrate Concepts from Epidemiology, Biophysics and Medicine: SEI 3 R 2 S-Nrec
This article has 1 author:Reviewed by ScreenIT
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Impaired Cellular Immunity to SARS-CoV-2 in Severe COVID-19 Patients
This article has 19 authors:Reviewed by ScreenIT
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COVID 19: Real-time Forecasts of confirmed cases, active cases, and health infrastructure requirements for India and its states using the ARIMA model
This article has 4 authors:Reviewed by ScreenIT
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Covid-19 Will Reduce US Life Expectancy at Birth by More Than One Year in 2020
This article has 1 author:Reviewed by ScreenIT
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Quantifying early COVID-19 outbreak transmission in South Africa and exploring vaccine efficacy scenarios
This article has 6 authors:Reviewed by ScreenIT
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pyPOCQuant — A tool to automatically quantify Point-Of-Care Tests from images
This article has 3 authors:Reviewed by ScreenIT
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Doxycycline and Hydroxychloroquine as Treatment for High-Risk COVID-19 Patients: Experience from Case Series of 54 Patients in Long-Term Care Facilities
This article has 5 authors:Reviewed by ScreenIT
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The Association between Influenza Vaccination and the Risk of SARS-CoV-2 Infection, Severe Illness, and Death: A Systematic Review of the Literature
This article has 5 authors:Reviewed by ScreenIT
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Identifying gaps in COVID-19 health equity data reporting in Canada using a scorecard approach
This article has 6 authors:Reviewed by ScreenIT