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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Effects of latency and age structure on the dynamics and containment of COVID-19
This article has 2 authors:Reviewed by ScreenIT
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Severity Detection for the Coronavirus Disease 2019 (COVID-19) Patients Using a Machine Learning Model Based on the Blood and Urine Tests
This article has 13 authors:Reviewed by ScreenIT
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Head-to-head comparison of SARS-CoV-2 antigen-detecting rapid test with self-collected nasal swab versus professional-collected nasopharyngeal swab
This article has 18 authors:Reviewed by ScreenIT
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Near- and forecasting the SARS-COV-2 epidemic requires a global view and multiple methods
This article has 1 author:Reviewed by ScreenIT
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Size and duration of COVID-19 clusters go along with a high SARS-CoV-2 viral load: A spatio-temporal investigation in Vaud state, Switzerland
This article has 7 authors:Reviewed by ScreenIT
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Self-Collected Saline Gargle Samples as an Alternative to Health Care Worker-Collected Nasopharyngeal Swabs for COVID-19 Diagnosis in Outpatients
This article has 13 authors:Reviewed by ScreenIT
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A surrogate virus neutralization test to quantify antibody-mediated inhibition of SARS-CoV-2 in finger stick dried blood spot samples
This article has 7 authors:Reviewed by ScreenIT
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Impact of the COVID-19 pandemic on asthma exacerbations in children: A multi-center survey using an administrative database in Japan
This article has 8 authors:Reviewed by ScreenIT
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The unseen and pervasive threat of COVID-19 throughout the US
This article has 3 authors:Reviewed by ScreenIT
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Risk Factors Underlying COVID-19 Lockdown-Induced Mental Distress
This article has 10 authors:Reviewed by ScreenIT