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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Is Covid-19 seroprevalence different in health care workers as per their risk of exposure? A study from a tertiary care hospital in National Capital Region of India
This article has 13 authors:Reviewed by ScreenIT
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Antigen-based multiplex strategies to discriminate SARS-CoV-2 natural and vaccine induced immunity from seasonal human coronavirus humoral responses
This article has 29 authors:Reviewed by ScreenIT
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Screening for SARS-CoV-2 by RT-PCR: Saliva or nasopharyngeal swab? Rapid review and meta-analysis
This article has 8 authors:Reviewed by ScreenIT
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Response to Whole-Lung Low-Dose Radiation Therapy (LD-RT) Predicts Freedom from Intubation in Patients Receiving Dexamethasone and/or Remdesevir for COVID-19-Related Acute Respiratory Distress Syndrome (ARDS)
This article has 14 authors:Reviewed by ScreenIT
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A participatory modelling approach for investigating the spread of COVID-19 in countries of the Eastern Mediterranean Region to support public health decision-making
This article has 10 authors:Reviewed by ScreenIT
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Accounting for Imported Cases in Estimating the Time-Varying Reproductive Number of Coronavirus Disease 2019 in Hong Kong
This article has 4 authors:Reviewed by ScreenIT
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Epidemic transmission with quarantine measures: application to COVID-19
This article has 3 authors:Reviewed by ScreenIT
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Systematically omitting indoor air quality: sub-standard guidance for shelters, group homes and long-term care in Ontario during the COVID-19 pandemic
This article has 5 authors:Reviewed by ScreenIT
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Temporal trends of SARS-CoV-2 seroprevalence during the first wave of the COVID-19 epidemic in Kenya
This article has 35 authors:Reviewed by ScreenIT
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Fifteen days in December: capture and analysis of Omicron-related travel restrictions
This article has 9 authors:Reviewed by ScreenIT