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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The Epidemic Severity Index: Estimating Relative Local Severity of Novel Disease Outbreaks
This article has 1 author:Reviewed by ScreenIT
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A modelling study highlights the power of detecting and isolating asymptomatic or very mildly affected individuals for COVID-19 epidemic management
This article has 7 authors:Reviewed by ScreenIT
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Effectiveness of isolation, testing, contact tracing, and physical distancing on reducing transmission of SARS-CoV-2 in different settings: a mathematical modelling study
This article has 51 authors:Reviewed by ScreenIT
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Enacting national social distancing policies corresponds with dramatic reduction in COVID19 infection rates
This article has 4 authors:Reviewed by ScreenIT
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COVID-19 containment policies through time may cost more lives at metapopulation level
This article has 2 authors:Reviewed by ScreenIT
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The reproductive index from SEIR model of Covid-19 epidemic in Asean
This article has 4 authors:Reviewed by ScreenIT
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The Natural History and Transmission Potential of Asymptomatic Severe Acute Respiratory Syndrome Coronavirus 2 Infection
This article has 100 authors:Reviewed by ScreenIT
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Negative regulation of ACE2 by interferons in vivo and its genetic control
This article has 24 authors:Reviewed by ScreenIT
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State-by-State prediction of likely COVID-19 scenarios in the United States and assessment of the role of testing and control measures
This article has 13 authors:Reviewed by ScreenIT
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Systematic review of international guidelines for tracheostomy in COVID-19 patients
This article has 13 authors:Reviewed by ScreenIT