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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Portable and accurate diagnostics for COVID-19: Combined use of the miniPCR thermocycler and a well-plate reader for SARS-CoV-2 virus detection
This article has 5 authors:Reviewed by ScreenIT
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COVID-19: Seroprevalence and Vaccine Responses in UK Dental Care Professionals
This article has 19 authors:Reviewed by ScreenIT
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SARS-CoV-2 responsive T cell numbers and anti-Spike IgG levels are both associated with protection from COVID-19: A prospective cohort study in keyworkers
This article has 16 authors:Reviewed by Rapid Reviews Infectious Diseases, ScreenIT
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Sero-surveillance for IgG to SARS-CoV-2 at antenatal care clinics in three Kenyan referral hospitals: Repeated cross-sectional surveys 2020–21
This article has 42 authors:Reviewed by ScreenIT
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Revealing the extent of the first wave of the COVID-19 pandemic in Kenya based on serological and PCR-test data
This article has 26 authors:Reviewed by ScreenIT
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Estimating the minimum number of SARS-CoV-2 infected cases needed to detect viral RNA in wastewater: To what extent of the outbreak can surveillance of wastewater tell us?
This article has 8 authors:Reviewed by ScreenIT, Rapid Reviews Infectious Diseases
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Highly Effective Inactivation of SARS-CoV-2 by Conjugated Polymers and Oligomers
This article has 9 authors:Reviewed by ScreenIT
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In the long shadow of our best intentions: Model-based assessment of the consequences of school reopening during the COVID-19 pandemic
This article has 6 authors:Reviewed by ScreenIT
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The impact of COVID-19 on mental health outcomes among hospital fever clinic attendants across Nepal: A cross-sectional study
This article has 6 authors:Reviewed by ScreenIT
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Quantifying the Impact of Nasopharyngeal Specimen Quality on Severe Acute Respiratory Syndrome Coronavirus 2 Test Performance
This article has 9 authors:Reviewed by ScreenIT