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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Decoupling between SARS-CoV-2 transmissibility and population mobility associated with increasing immunity from vaccination and infection in South America
This article has 6 authors:Reviewed by ScreenIT
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Comparative Single-Dose mRNA and ChAdOx1 Vaccine Effectiveness Against Severe Acute Respiratory Syndrome Coronavirus 2, Including Variants of Concern: Test-Negative Design, British Columbia, Canada
This article has 18 authors:Reviewed by ScreenIT
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An epi-evolutionary model to predict spore-producing pathogens adaptation to quantitative resistance in heterogeneous environments
This article has 6 authors:Reviewed by ScreenIT
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Epidemiology, clinical presentation and management of COVID‐19 associated mucormycosis: A single centre experience from Pune, Western India
This article has 37 authors:Reviewed by ScreenIT
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Monitoring the COVID-19 immunisation programme through a national immunisation Management system – England’s experience
This article has 11 authors:Reviewed by ScreenIT
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Financial and Non-financial Conflicts of Interest Among the Japanese Government Advisory Board Members Concerning Coronavirus Disease 2019
This article has 9 authors:Reviewed by ScreenIT
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RNA-extraction-free diagnostic method to detect SARS-CoV-2: an assessment from two States, India
This article has 18 authors:Reviewed by ScreenIT
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Longitudinal analysis of antibody dynamics in COVID-19 convalescents reveals neutralizing responses up to 16 months after infection
This article has 17 authors:Reviewed by ScreenIT
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Efficacy of SARS-CoV-2 wastewater surveillance for detection of COVID-19 at a residential private college
This article has 5 authors:Reviewed by ScreenIT
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Modeling the systemic risks of COVID-19 on the wildland firefighting workforce
This article has 5 authors:Reviewed by ScreenIT