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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Prominent Spatiotemporal Waves of COVID-19 Incidence in the United States: Implications for Causality, Forecasting, and Control
This article has 3 authors:Reviewed by ScreenIT
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The Emergence of Sars-CoV-2 Variant Lambda (C.37) in South America
This article has 10 authors:Reviewed by ScreenIT
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Tracing and testing multiple generations of contacts to COVID-19 cases: cost–benefit trade-offs
This article has 6 authors:Reviewed by ScreenIT
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Effectiveness of COVID-19 vaccines against symptomatic SARS-CoV-2 infection and severe outcomes with variants of concern in Ontario
This article has 17 authors:Reviewed by Rapid Reviews Infectious Diseases, ScreenIT
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The drop in reported invasive pneumococcal disease among adults during the first COVID-19 wave in the Netherlands explained.
This article has 7 authors:Reviewed by ScreenIT
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Persistent COVID-19 symptoms in a community study of 606,434 people in England
This article has 8 authors: -
SARS-CoV-2 vaccine breakthrough infections with the alpha variant are asymptomatic or mildly symptomatic among health care workers
This article has 22 authors: -
Serosurveillance among healthcare workers vaccinated with ChAdOx1 nCoV-19 Corona vaccine in a tertiary hospital of Kerala, India: prospective cohort studу
This article has 12 authors:Reviewed by ScreenIT
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A new model of unreported COVID-19 cases outperforms three known epidemic-growth models in describing data from Cuba and Spain
This article has 7 authors:Reviewed by ScreenIT
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Modeling robust COVID-19 intensive care unit occupancy thresholds for imposing mitigation to prevent exceeding capacities
This article has 12 authors:Reviewed by ScreenIT