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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Risk-benefit analysis of the AstraZeneca COVID-19 vaccine in Australia using a Bayesian network modelling framework
This article has 10 authors:Reviewed by ScreenIT
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Non-Markovian modelling highlights the importance of age structure on Covid-19 epidemiological dynamics
This article has 6 authors:Reviewed by ScreenIT
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Forgoing healthcare during the COVID-19 pandemic in Geneva, Switzerland – A cross-sectional population-based study
This article has 7 authors:Reviewed by ScreenIT
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Risk Factors for Infection, Predictors of Severe Disease, and Antibody Response to COVID-19 in Patients With Inflammatory Rheumatic Diseases in Portugal—A Multicenter, Nationwide Study
This article has 27 authors:Reviewed by ScreenIT
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Longitudinal changes and correlates of meeting WHO recommended levels of physical activity in the UK during the COVID-19 pandemic: Findings from the HEBECO study
This article has 6 authors:Reviewed by ScreenIT
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Recombinant Adjuvanted Zoster Vaccine and Reduced Risk of Coronavirus Disease 2019 Diagnosis and Hospitalization in Older Adults
This article has 16 authors:Reviewed by ScreenIT
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Initial Severe Acute Respiratory Syndrome Coronavirus 2 Viral Load Is Associated With Disease Severity: A Retrospective Cohort Study
This article has 15 authors:Reviewed by ScreenIT
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Development and validation of a questionnaire to measure attitudes toward COVID-19 vaccination and pandemic
This article has 7 authors:Reviewed by ScreenIT
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The paradox of the COVID-19 pandemic: The impact on patient demand in Japanese hospitals
This article has 2 authors:Reviewed by ScreenIT
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COVID-19 risk factors amongst 14,786 care home residents: an observational longitudinal analysis including daily community positive test rates of COVID-19, hospital stays and vaccination status in Wales (UK) between 1 September 2020 and 1 May 2021
This article has 8 authors:Reviewed by ScreenIT