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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Dynamic Modeling of Reported COVID-19 Cases and Deaths with Continuously Varying Case Fatality and Transmission Rate Functions
This article has 2 authors:Reviewed by ScreenIT
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Optimal Control of the COVID-19 Pandemic with Non-pharmaceutical Interventions
This article has 2 authors:Reviewed by ScreenIT
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Longevity of seropositivity and neutralizing titers among SARS-CoV-2 infected individuals after 4 months from baseline: a population-based study in the province of Trento
This article has 21 authors:Reviewed by ScreenIT
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Impact of reproduction number on the multiwave spreading dynamics of COVID-19 with temporary immunity: A mathematical model
This article has 4 authors:Reviewed by ScreenIT
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COVID-19 healthcare demand and mortality in Sweden in response to non-pharmaceutical mitigation and suppression scenarios
This article has 10 authors:Reviewed by ScreenIT
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Social, economic, and environmental factors influencing the basic reproduction number of COVID-19 across countries
This article has 3 authors:Reviewed by ScreenIT
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Single-Shot Lightweight Model For The Detection of Lesions And The Prediction of COVID-19 From Chest CT Scans
This article has 1 author:Reviewed by ScreenIT
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Comparing the age and sex trajectories of SARS-CoV-2 morbidity and mortality with other respiratory pathogens
This article has 10 authors:Reviewed by ScreenIT
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Acute Endotheliitis (Type 3 Hypersensitivity Vasculitis) in Ten COVID-19 Autopsy Brains
This article has 6 authors:Reviewed by ScreenIT
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Rapid, high-yield production of full-length SARS-CoV-2 spike ectodomain by transient gene expression in CHO cells
This article has 8 authors:Reviewed by ScreenIT