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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Comparison of rhesus and cynomolgus macaques as an infection model for COVID-19
This article has 64 authors:Reviewed by ScreenIT
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Human mobility and COVID-19 transmission: a systematic review and future directions
This article has 12 authors:Reviewed by ScreenIT
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Counterfactual time series analysis of short-term change in air pollution following the COVID-19 state of emergency in the United States
This article has 7 authors:Reviewed by ScreenIT
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Primary school staff perspectives of school closures due to COVID-19, experiences of schools reopening and recommendations for the future: A qualitative survey in Wales
This article has 6 authors:Reviewed by ScreenIT
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Variation of Genomic Sites Associated with Severe Covid-19 Across Populations: Global and National Patterns
This article has 11 authors:Reviewed by ScreenIT
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Similarity between mutation spectra in hypermutated genomes of rubella virus and in SARS-CoV-2 genomes accumulated during the COVID-19 pandemic
This article has 5 authors:Reviewed by ScreenIT
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Association of Mass Gatherings and COVID-19 Hospitalization
This article has 4 authors:Reviewed by ScreenIT
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Integration of Kalman filter in the epidemiological model: A robust approach to predict COVID-19 outbreak in Bangladesh
This article has 3 authors:Reviewed by ScreenIT
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A simple arithmetic rationale for crushing the epidemic curve of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) instead of flattening it
This article has 1 author:Reviewed by ScreenIT
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Impact of multiple waves of COVID-19 on healthcare networks in the United States
This article has 2 authors:Reviewed by ScreenIT