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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UV decontamination of personal protective equipment with idle laboratory biosafety cabinets during the COVID-19 pandemic
This article has 27 authors:Reviewed by ScreenIT
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Modeling COVID-19 epidemics in an Excel spreadsheet to enable first-hand accurate predictions of the pandemic evolution in urban areas
This article has 3 authors:Reviewed by ScreenIT
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Spatio-temporal propagation of COVID-19 pandemics
This article has 8 authors:Reviewed by ScreenIT
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Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal
This article has 57 authors:Reviewed by ScreenIT
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Global transmission network of SARS-CoV-2: from outbreak to pandemic
This article has 5 authors:Reviewed by ScreenIT
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COVID-19 testing capabilities at urgent care centers in states with greatest disease burden
This article has 9 authors:Reviewed by ScreenIT
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A demographic adjustment to improve measurement of COVID-19 severity at the developing stage of the pandemic
This article has 2 authors:Reviewed by ScreenIT
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Prevalence and Clinical Presentation of Health Care Workers With Symptoms of Coronavirus Disease 2019 in 2 Dutch Hospitals During an Early Phase of the Pandemic
This article has 10 authors:Reviewed by ScreenIT
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A quantitative model used to compare within-host SARS-CoV-2, MERS-CoV, and SARS-CoV dynamics provides insights into the pathogenesis and treatment of SARS-CoV-2
This article has 14 authors:Reviewed by ScreenIT
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Serological diagnostic kit of SARS-CoV-2 antibodies using CHO-expressed full-length SARS-CoV-2 S1 proteins
This article has 26 authors:Reviewed by ScreenIT