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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Deteriorated Covid19 control due to delayed lockdown resulting from strategic interactions between Governments and oppositions
This article has 3 authors:Reviewed by ScreenIT
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Automatic analysis system of COVID-19 radiographic lung images (XrayCoviDetector)
This article has 7 authors:Reviewed by ScreenIT
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A comprehensive county level model to identify factors affecting hospital capacity and predict future hospital demand
This article has 2 authors:Reviewed by ScreenIT
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Estimates of the value of life lost from COVID-19 in Ohio
This article has 1 author:Reviewed by ScreenIT
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Heterogeneity in testing, diagnosis and outcome in SARS-CoV-2 infection across outbreak settings in the Greater Toronto Area, Canada: an observational study
This article has 14 authors:Reviewed by ScreenIT
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A comparison of DNA/RNA extraction protocols for high-throughput sequencing of microbial communities
This article has 18 authors:Reviewed by ScreenIT
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Rapid Real-time Tracking of Nonpharmaceutical Interventions and Their Association With Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Positivity: The Coronavirus Disease 2019 (COVID-19) Pandemic Pulse Study
This article has 9 authors: -
What is the recovery rate and risk of long-term consequences following a diagnosis of COVID-19? A harmonised, global longitudinal observational study protocol
This article has 37 authors:Reviewed by ScreenIT
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The COVID-19 immune landscape is dynamically and reversibly correlated with disease severity
This article has 10 authors:Reviewed by ScreenIT
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Health disparities and COVID-19: A retrospective study examining individual and community factors causing disproportionate COVID-19 outcomes in Cook County, Illinois
This article has 4 authors:Reviewed by ScreenIT, Rapid Reviews Infectious Diseases