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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Access to primary healthcare during lockdown measures for COVID-19 in rural South Africa: an interrupted time series analysis
This article has 16 authors:Reviewed by ScreenIT
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A Real-Time Statistical Model for Tracking and Forecasting COVID-19 Deaths, Prevalence and Incidence
This article has 1 author:Reviewed by ScreenIT
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Evaluate the Risk of Resumption of Business for the States of New York, New Jersey and Connecticut via a Pre-Symptomatic and Asymptomatic Transmission Model of COVID-19
This article has 5 authors:Reviewed by ScreenIT
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The potential impact of the COVID-19 pandemic on the tuberculosis epidemic a modelling analysis
This article has 11 authors:Reviewed by ScreenIT
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Search for asymptomatic carriers of SARS-CoV-2 in healthcare workers during the pandemic: a Spanish experience
This article has 29 authors:Reviewed by ScreenIT
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Asymptomatic COVID-19 Have Longer Treatment Cycle Than Moderate Type of Confirmed Patients
This article has 8 authors:Reviewed by ScreenIT
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Predicting the Impact of COVID-19 and the Potential Impact of the Public Health Response on Disease Burden in Uganda
This article has 6 authors:Reviewed by ScreenIT
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THE ROLE OF POINT-OF-CARE ULTRASONOGRAPHY IN THE INITIAL CHARACTERIZATION OF COVID-19 PATIENTS: RESULTS FROM A PROSPECTIVE MULTICENTRIC STUDY.
This article has 3 authors:Reviewed by ScreenIT
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IL-6 Inhibition in Critically Ill COVID-19 Patients Is Associated With Increased Secondary Infections
This article has 9 authors:Reviewed by ScreenIT
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COVID-19 Infection Forecasting based on Deep Learning in Iran
This article has 3 authors:Reviewed by ScreenIT