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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Mortality Associated With Intubation and Mechanical Ventilation in Patients with COVID-19
This article has 9 authors:Reviewed by ScreenIT
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On topological properties of COVID-19: predicting and assessing pandemic risk with network statistics
This article has 4 authors:Reviewed by ScreenIT
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Estimating required ‘lockdown’ cycles before immunity to SARS-CoV-2: model-based analyses of susceptible population sizes, ‘S0’, in seven European countries, including the UK and Ireland
This article has 9 authors:Reviewed by ScreenIT
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Descriptive epidemiology of 16,780 hospitalized COVID-19 patients in the United States
This article has 9 authors:Reviewed by ScreenIT
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Is it safe to use a single ventilator for two or more patients?
This article has 3 authors:Reviewed by ScreenIT
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Variability in Coronavirus Disease-2019 Case, Death, and Testing Rates in the United States and Worldwide
This article has 6 authors:Reviewed by ScreenIT
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Development and evaluation of an artificial intelligence system for COVID-19 diagnosis
This article has 11 authors:Reviewed by ScreenIT
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Ecologic correlation between underlying population level morbidities and COVID-19 case fatality rate among countries infected with SARS-CoV-2
This article has 6 authors:Reviewed by ScreenIT
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Associations between blood type and COVID-19 infection, intubation, and death
This article has 3 authors: -
Association of Digestive Symptoms and Hospitalization in Patients With SARS-CoV-2 Infection
This article has 7 authors:Reviewed by ScreenIT