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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Preclinical Validation of a Novel Injection-Molded Swab for the Molecular Assay Detection of SARS-CoV-2
This article has 10 authors:Reviewed by ScreenIT
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Mathematical modeling of COVID-19 in British Columbia: An age-structured model with time-dependent contact rates
This article has 11 authors:Reviewed by ScreenIT
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Main COVID-19 information sources in a culturally and linguistically diverse community in Sydney, Australia: A cross-sectional survey
This article has 15 authors:Reviewed by ScreenIT
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Disease Waves of SARS-CoV-2 in Iran Closely Mirror Global Pandemic Trends
This article has 61 authors:Reviewed by ScreenIT
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The effect of social restrictions, loss of social support, and loss of maternal autonomy on postpartum depression in 1 to 12-months postpartum women during the COVID-19 pandemic
This article has 6 authors:Reviewed by ScreenIT
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How Different Pre-existing Mental Disorders and Their Co-occurrence Affects COVID-19 Clinical Outcomes? A Real-World Data Study in the Southern United States
This article has 12 authors:Reviewed by ScreenIT
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Ongoing Use of SSRIs Does Not Alter Outcome in Hospitalized COVID-19 Patients: A Retrospective Analysis
This article has 6 authors:Reviewed by ScreenIT
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The Relationship Between Food Security and Dietary Patterns Status with COVID-19 in Northeastern Iran: Protocol for a Case-Control Study
This article has 5 authors:Reviewed by ScreenIT
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Vaccine hesitancy for coronavirus SARS-CoV-2 in Varanasi India
This article has 17 authors:Reviewed by ScreenIT
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Aligning staffing schedules with testing and isolation strategies reduces the risk of COVID-19 outbreaks in carceral and other congregate settings: A simulation study
This article has 4 authors:Reviewed by ScreenIT