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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How well does SARS-CoV-2 spread in hospitals?
This article has 6 authors:Reviewed by ScreenIT
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Calibrating an SIR model for South Korea COVID-19 infections and predicting vaccination impact
This article has 1 author:Reviewed by ScreenIT
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Prevalence and duration of detectable SARS-CoV-2 nucleocapsid antibodies in staff and residents of long-term care facilities over the first year of the pandemic (VIVALDI study): prospective cohort study in England
This article has 15 authors:Reviewed by ScreenIT
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Contact tracing can explain counter-intuitive COVID-19 trajectories, mitigate disease transmission and provide an early warning indicator - a mathematical modeling study
This article has 2 authors:Reviewed by ScreenIT
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Contribution of Schools to Covid-19 Pandemic: Evidence from Czechia
This article has 4 authors:Reviewed by ScreenIT
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An overview of Brazilian working age adults vulnerability to COVID-19
This article has 5 authors:Reviewed by ScreenIT
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The COVID-19 Pandemic and Mental Health Concerns on Twitter in the United States
This article has 8 authors:Reviewed by ScreenIT
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Severe Acute Respiratory Syndrome Coronavirus 2 Nucleocapsid Antigen in Urine of Hospitalized Patients With Coronavirus Disease 2019
This article has 12 authors:Reviewed by ScreenIT
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Recurrent neural network models (CovRNN) for predicting outcomes of patients with COVID-19 on admission to hospital: model development and validation using electronic health record data
This article has 11 authors:Reviewed by ScreenIT
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Linguistic fairness in the U.S.: The case of multilingual public health information about COVID-19
This article has 4 authors:Reviewed by ScreenIT