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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Anticipating the hospital burden of future COVID-19 epidemic waves
This article has 3 authors:Reviewed by ScreenIT
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SARS-CoV-2 exposure in Malawian blood donors: an analysis of seroprevalence and variant dynamics between January 2020 and July 2021
This article has 23 authors:Reviewed by ScreenIT
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Effects of face masks and ventilation on the risk of SARS-CoV-2 respiratory transmission in public toilets: a quantitative microbial risk assessment
This article has 6 authors:Reviewed by ScreenIT
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Bias as a source of inconsistency in ivermectin trials for COVID-19: A systematic review. Ivermectin's suggested benefits are mainly based on potentially biased results
This article has 7 authors:Reviewed by ScreenIT
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Is the BNT162b2 COVID-19 vaccine effective in elderly populations? Results from population data from Bavaria, Germany
This article has 8 authors:Reviewed by ScreenIT
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Using routine emergency department data for syndromic surveillance of acute respiratory illness, Germany, week 10 2017 until week 10 2021
This article has 11 authors:Reviewed by ScreenIT
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Inhaled nitric oxide use in COVID19-induced hypoxemic respiratory failure
This article has 13 authors:Reviewed by ScreenIT
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Virtual Delivery of Simulation Education to Undergraduate Medical Students During the COVID-19 Pandemic
This article has 8 authors:Reviewed by ScreenIT
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Large-Scale Study of Antibody Titer Decay following BNT162b2 mRNA Vaccine or SARS-CoV-2 Infection
This article has 9 authors:Reviewed by ScreenIT
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Can a vaccine-led approach end the NSW outbreak in 100 days, or at least substantially reduce morbidity and mortality?
This article has 8 authors:Reviewed by Rapid Reviews Infectious Diseases, ScreenIT