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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Internet and mental health during the COVID-19 pandemic: evidence from the UK
This article has 3 authors:Reviewed by ScreenIT
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Consistent pattern of epidemic slowing across many geographies led to longer, flatter initial waves of the COVID-19 pandemic
This article has 4 authors:Reviewed by ScreenIT
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Effectiveness of COVID-19 vaccines against Omicron and Delta hospitalisation, a test negative case-control study
This article has 5 authors:Reviewed by ScreenIT
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Modeling and Global Sensitivity Analysis of Strategies to Mitigate Covid-19 Transmission on a Structured College Campus
This article has 5 authors:Reviewed by ScreenIT
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The impact of COVID-19 pandemic on influenza surveillance: a systematic review and meta-analysis
This article has 3 authors:Reviewed by ScreenIT
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Engagement of health workers and peer educators from the National Adolescent Health Programme-Rashtriya Kishor Swasthya Karyakram during the COVID-19 pandemic: Findings from a situational analysis
This article has 10 authors:Reviewed by ScreenIT
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Omicron breakthrough infection drives cross-variant neutralization and memory B cell formation
This article has 18 authors:Reviewed by ScreenIT
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Seropositivity and risk factors for SARS-CoV-2 infection in a South Asian community in Ontario: a cross-sectional analysis of a prospective cohort study
This article has 23 authors:Reviewed by ScreenIT
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Metabolic alkalosis and mortality in COVID-19
This article has 1 author:Reviewed by ScreenIT
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Interpretation of non-responders to SARS-CoV-2 vaccines using WHO International Standard
This article has 7 authors:Reviewed by ScreenIT