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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COVID-19 genetic risk variants are associated with expression of multiple genes in diverse immune cell types
This article has 9 authors:Reviewed by ScreenIT
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Changes in the incidence of invasive disease due to Streptococcus pneumoniae, Haemophilus influenzae, and Neisseria meningitidis during the COVID-19 pandemic in 26 countries and territories in the Invasive Respiratory Infection Surveillance Initiative: a prospective analysis of surveillance data
This article has 95 authors:Reviewed by ScreenIT
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Three-quarters attack rate of SARS-CoV-2 in the Brazilian Amazon during a largely unmitigated epidemic
This article has 36 authors:Reviewed by ScreenIT, Rapid Reviews Infectious Diseases
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Modeling Social Distancing Strategies to Prevent SARS-CoV-2 Spread in Israel: A Cost-Effectiveness Analysis
This article has 4 authors:Reviewed by ScreenIT
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Manifestations of mortality based global data of COVID-19; unifying global model through single parameter
This article has 1 author:Reviewed by ScreenIT
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Assessment of physiological signs associated with COVID-19 measured using wearable devices
This article has 3 authors:Reviewed by ScreenIT, Rapid Reviews Infectious Diseases
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Simulating Pandemic Disease Spread and the Impact of Interventions in Complex Societal Networks
This article has 1 author:Reviewed by ScreenIT
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Comparison of safety and efficacy of convalescent plasma with fresh frozen plasma in severe covid-19 patients
This article has 17 authors:Reviewed by ScreenIT
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Hydroxychloroquine for Pre-Exposure Prophylaxis for Sars-Cov-2
This article has 1 author:Reviewed by ScreenIT
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Intention to receive a COVID-19 vaccine: results from a population-based survey in Canada
This article has 13 authors:Reviewed by ScreenIT