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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Secondary transmission of COVID-19 in preschool and school settings in northern Italy after their reopening in September 2020: a population-based study
This article has 11 authors:Reviewed by ScreenIT
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Inadequate level of knowledge, mixed outlook and poor adherence to COVID-19 prevention guideline among Ethiopians
This article has 3 authors:Reviewed by ScreenIT
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A Simple Mathematical Model for Estimating the Inflection Points of COVID-19 Outbreaks
This article has 1 author:Reviewed by ScreenIT
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The Impact of Psychology Interventions on Changing Mental Health Status and Sleep Quality in University Students during the COVID-19 Pandemic
This article has 10 authors:Reviewed by ScreenIT
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Fernando de Noronha: how an island controlled the community transmission of COVID-19 in Brazil
This article has 17 authors:Reviewed by ScreenIT
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Does the timing of government COVID-19 policy interventions matter? Policy analysis of an original database
This article has 4 authors:Reviewed by ScreenIT
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Governor Partisanship Explains the Adoption of Statewide Mask Mandates in Response to COVID-19
This article has 7 authors:Reviewed by ScreenIT
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Smoking is associated with worse outcomes of COVID-19 particularly among younger adults: a systematic review and meta-analysis
This article has 2 authors:Reviewed by ScreenIT
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SARS-Cov-2 prevalence, transmission, health-related outcomes and control strategies in homeless shelters: Systematic review and meta-analysis
This article has 5 authors:Reviewed by ScreenIT
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Impact of winter holiday and government responses on mortality in Europe during the first wave of the COVID-19 pandemic
This article has 3 authors:Reviewed by ScreenIT