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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Tissue-resident memory CD8 T-cell responses elicited by a single injection of a multi-target COVID-19 vaccine
This article has 19 authors:Reviewed by ScreenIT
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Effects of public health interventions on the epidemiological spread during the first wave of the COVID-19 outbreak in Thailand
This article has 11 authors:Reviewed by ScreenIT
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Forecasting the Spread of the COVID-19 Epidemic in Lombardy: A Dynamic Model Averaging Approach
This article has 2 authors:Reviewed by ScreenIT
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Aggressive COVID-19 “second wave” in Italy
This article has 2 authors:Reviewed by ScreenIT
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A Bayesian estimate of the early COVID-19 infection fatality ratio in Brazil based on a random seroprevalence survey
This article has 2 authors: -
Pro108Ser mutation of SARS-CoV-2 3CLpro reduces the enzyme activity and ameliorates the clinical severity of COVID-19
This article has 21 authors:Reviewed by ScreenIT
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England’s Lockdown vs. Sweden’s Herd Immunity: A Comparison of the Daily New COVID-19 Cases and Related Deaths Using Comparative Interrupted Time Series Analysis
This article has 4 authors:Reviewed by ScreenIT
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Functional mapping of B-cell linear epitopes of SARS-CoV-2 in COVID-19 convalescent population
This article has 11 authors:Reviewed by ScreenIT
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Quantification of the Tradeoff between Test Sensitivity and Test Frequency in a COVID-19 Epidemic—A Multi-Scale Modeling Approach
This article has 2 authors:Reviewed by ScreenIT
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The new Coronavirus (SARS-CoV-2) in Central America: Demographic-spatial simulations, Analyses of Molecular Variance (AMOVA) and Neutrality Tests in complete genomes from Belize, Guatemala, Cuba, Jamaica and Puerto Rico
This article has 5 authors:Reviewed by ScreenIT