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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First Phylogenetic Analysis of Malian SARS-CoV-2 Sequences Provides Molecular Insights into the Genomic Diversity of the Sahel Region
This article has 14 authors:Reviewed by ScreenIT
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HIV infection and COVID-19 death: a population-based cohort analysis of UK primary care data and linked national death registrations within the OpenSAFELY platform
This article has 25 authors:Reviewed by ScreenIT, Rapid Reviews Infectious Diseases
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Racial and Ethnic Disparities in Hospital Admissions from COVID-19: Determining the Impact of Neighborhood Deprivation and Primary Language
This article has 10 authors:Reviewed by ScreenIT
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Data-driven study of the COVID-19 pandemic via age-structured modelling and prediction of the health system failure in Brazil amid diverse intervention strategies
This article has 6 authors:Reviewed by ScreenIT
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SARS-CoV-2 epidemic after social and economic reopening in three U.S. states reveals shifts in age structure and clinical characteristics
This article has 16 authors:Reviewed by ScreenIT
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Analysis of Key Factors of a SARS-CoV-2 Vaccination Program: A Mathematical Modeling Approach
This article has 3 authors:Reviewed by ScreenIT
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Reproducible Breath Metabolite Changes in Children with SARS-CoV-2 Infection
This article has 9 authors:Reviewed by ScreenIT
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Comparisons of the genome of SARS-CoV-2 and those of other betacoronaviruses
This article has 2 authors:Reviewed by ScreenIT
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Experiences of living with mental health problems during the COVID-19 pandemic in the UK: a coproduced, participatory qualitative interview study
This article has 24 authors:Reviewed by ScreenIT
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A County-Level Susceptibility Index and Coronavirus Disease 2019 Mortality in the United States: A Socioecological Study
This article has 8 authors:Reviewed by ScreenIT