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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Impact of COVID-19 on the mortality rates for the resident population of the Umbria region in Italy
This article has 5 authors:Reviewed by ScreenIT
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A multiscale model suggests that a moderately weak inhibition of SARS-CoV-2 replication by type I IFN could accelerate the clearance of the virus
This article has 3 authors:Reviewed by ScreenIT
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Modelling the impact of travel restrictions on COVID-19 cases in Hong Kong in early 2020
This article has 9 authors:Reviewed by ScreenIT
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A Speedy Route to Multiple Highly Potent SARS-CoV-2 Main Protease Inhibitors
This article has 22 authors:Reviewed by ScreenIT
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Estimation of COVID-19 risk-stratified epidemiological parameters and policy implications for Los Angeles County through an integrated risk and stochastic epidemiological model
This article has 11 authors:Reviewed by ScreenIT
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Personalized Virus Load Curves for Acute Viral Infections
This article has 3 authors:Reviewed by ScreenIT
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Trip duration drives shift in travel network structure with implications for the predictability of spatial disease spread
This article has 7 authors:Reviewed by ScreenIT
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Experimental Efficacy of the Face Shield and the Mask against Emitted and Potentially Received Particles
This article has 5 authors:Reviewed by ScreenIT
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CoViD-19, learning from the past: A wavelet and cross-correlation analysis of the epidemic dynamics looking to emergency calls and Twitter trends in Italian Lombardy region
This article has 14 authors: -
Lockdowns result in changes in human mobility which may impact the epidemiologic dynamics of SARS-CoV-2
This article has 6 authors:Reviewed by ScreenIT