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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Use cases for COVID-19 screening and surveillance with rapid antigen-detecting tests: a systematic review
This article has 8 authors:Reviewed by ScreenIT
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Investigating the relationship between interventions, contact patterns, and SARS-CoV-2 transmissibility
This article has 12 authors:Reviewed by ScreenIT
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The basic reproduction number of COVID-19 across Africa
This article has 4 authors:Reviewed by ScreenIT
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Quantifying the Effects of Non-Pharmaceutical and Pharmaceutical Interventions Against Covid-19 Epidemic in the Republic of Korea: Mathematical Model-Based Approach Considering Age Groups and the Delta Variant
This article has 7 authors:Reviewed by ScreenIT
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REACT-1 round 15 interim report: High and rising prevalence of SARS-CoV-2 infection in England from end of September 2021 followed by a fall in late October 2021
This article has 18 authors:Reviewed by ScreenIT
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Measuring College Students’ with Disabilities Attitudes Toward Taking COVID-19 Vaccines
This article has 2 authors:Reviewed by ScreenIT
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Effectiveness, Explainability and Reliability of Machine Meta-Learning Methods for Predicting Mortality in Patients with COVID-19: Results of the Brazilian COVID-19 Registry
This article has 93 authors:Reviewed by ScreenIT
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Spatialized epidemiological forecasting applied to Covid-19 pandemic at departmental scale in France
This article has 3 authors:Reviewed by ScreenIT
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Whole blood DNA methylation analysis reveals respiratory environmental traits involved in COVID-19 severity following SARS-CoV-2 infection
This article has 9 authors:Reviewed by ScreenIT
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The impact of the initial and second national COVID-19 lockdowns on mental health in young people with and without pre-existing depressive symptoms
This article has 5 authors:Reviewed by ScreenIT