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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When Can Elimination of SARS-CoV-2 Infection be Assumed? Simulation Modelling in a Case Study Island Nation
This article has 6 authors:Reviewed by ScreenIT
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COVID-19 Propagation and Mortality in a Two-Part Population
This article has 2 authors:Reviewed by ScreenIT
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Can we use these masks? Rapid Assessment of the Inhalation Resistance Performance of Uncertified Medical Face Masks in the Context of Restricted Resources Imposed during a Public Health Emergency
This article has 5 authors:Reviewed by ScreenIT
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Characteristics and Outcome of SARS-CoV-2 Infection in Cancer Patients
This article has 24 authors:Reviewed by ScreenIT
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Development of a Predictive Score for COVID-19 Diagnosis based on Demographics and Symptoms in Patients Attended at a Dedicated Screening Unit
This article has 8 authors:Reviewed by ScreenIT
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Testing, tracing and isolation in compartmental models
This article has 5 authors:Reviewed by ScreenIT
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Detecting the Emergent or Re-Emergent COVID-19 Pandemic in a Country: Modelling Study of Combined Primary Care and Hospital Surveillance
This article has 6 authors:Reviewed by ScreenIT
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Making sense of publicly available data on COVID-19 in Ireland
This article has 4 authors:Reviewed by ScreenIT
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Rapid estimation of excess mortality in times of COVID-19 in Portugal - Beyond reported deaths
This article has 4 authors:Reviewed by ScreenIT
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Transmission onset distribution of COVID-19
This article has 3 authors:Reviewed by ScreenIT