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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Short-term and long-term impacts of COVID-19 on economic vulnerability: a population-based longitudinal study (COVIDENCE UK)
This article has 5 authors:Reviewed by ScreenIT
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Monitoring and understanding household clustering of SARS-CoV-2 cases using surveillance data in Fulton County, Georgia
This article has 7 authors:Reviewed by ScreenIT
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Determinants of COVID-19 Vaccine Acceptability in Mozambique: The Role of Institutional Trust
This article has 7 authors:Reviewed by ScreenIT
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Effects of BA.1/BA.2 subvariant, vaccination and prior infection on infectiousness of SARS-CoV-2 omicron infections
This article has 24 authors:Reviewed by ScreenIT
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The Coronavirus Calendar (CoronaCal): a Simplified SARS-CoV-2 Test System for Sampling and Retrospective Analysis
This article has 6 authors:Reviewed by ScreenIT
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Prevalence of bacterial coinfection and patterns of antibiotics prescribing in patients with COVID-19: A systematic review and meta-analysis
This article has 5 authors:Reviewed by ScreenIT
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Association between COVID-19 vaccination rates and the Australian ‘Million Dollar Vax’ competition: an observational study
This article has 2 authors:Reviewed by ScreenIT
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Analyzing county-wide trends in Tennessee Covid-19 rates, Median Household Income, and Presence of Hospital
This article has 1 author:Reviewed by ScreenIT
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Predictive model of risk factors of High Flow Nasal Cannula using machine learning in COVID-19
This article has 15 authors:Reviewed by ScreenIT
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Predicting missed health care visits during the COVID-19 pandemic using machine learning methods: Evidence from 55,500 individuals from 28 European Countries
This article has 4 authors:Reviewed by ScreenIT