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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Natural SARS-CoV-2 infections, including virus isolation, among serially tested cats and dogs in households with confirmed human COVID-19 cases in Texas, USA
This article has 17 authors:Reviewed by ScreenIT
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The impact of COVID-19 vaccination campaigns accounting for antibody-dependent enhancement
This article has 13 authors:Reviewed by ScreenIT
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Testing the effects of the timing of application of preventative procedures against COVID-19: An insight for future measures such as local emergency brakes
This article has 2 authors:Reviewed by ScreenIT
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COVID19 epidemic modelling and the effect of public health interventions in India-SEIQHRF model
This article has 5 authors:Reviewed by ScreenIT
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Fast initial Covid-19 response means greater caution may be needed later
This article has 1 author:Reviewed by ScreenIT
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Home-based and remote exercise testing in chronic respiratory disease, during the COVID-19 pandemic and beyond: a rapid review
This article has 12 authors:Reviewed by ScreenIT
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RAPPID: a platform of ratiometric bioluminescent sensors for homogeneous immunoassays
This article has 15 authors:Reviewed by ScreenIT
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Incubation Period and Other Epidemiological Characteristics of 2019 Novel Coronavirus Infections with Right Truncation: A Statistical Analysis of Publicly Available Case Data
This article has 9 authors:Reviewed by ScreenIT
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Seroprevalence and risk factors of exposure to COVID-19 in homeless people in Paris, France: a cross-sectional study
This article has 16 authors:Reviewed by ScreenIT
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Inferring MHC interacting SARS-CoV-2 epitopes recognized by TCRs towards designing T cell-based vaccines
This article has 4 authors:Reviewed by ScreenIT