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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Excess COVID-19-associated deaths among the unvaccinated population ≥18 years old in the United States, May 30 – December 4, 2021
This article has 4 authors:Reviewed by ScreenIT
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ICD-10 based syndromic surveillance enables robust estimation of burden of severe COVID-19 requiring hospitalization and intensive care treatment
This article has 8 authors:Reviewed by ScreenIT
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SARS-CoV-2 transmission, persistence of immunity, and estimates of Omicron’s impact in South African population cohorts
This article has 21 authors:Reviewed by ScreenIT
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Changing Dynamics of COVID-19 Deaths During the SARS-CoV2 B.1.617.2 (Delta Variant) Outbreak in England and Wales: Reduced COVID-19 Deaths Among the Care Home Residents
This article has 10 authors:Reviewed by ScreenIT
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Genomic profile of SARS-CoV-2 Omicron variant and its correlation with disease severity in Rajasthan
This article has 17 authors:Reviewed by ScreenIT
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Evaluation of the specificity and accuracy of SARS-CoV-2 rapid antigen self-tests compared to RT-PCR from 1015 asymptomatic volunteers
This article has 4 authors:Reviewed by ScreenIT
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Neonatal and Maternal Outcome of COVID-19 positive women in Sri Lanka: Secondary Analysis using National COVID-19 Positive Pregnant Women Surveillance
This article has 8 authors:Reviewed by ScreenIT
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Food intake patterns, social determinants and emotions during COVID-19 confinement
This article has 6 authors:Reviewed by ScreenIT
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Coronavirus Disease 2019 Vaccine Boosting in Previously Infected or Vaccinated Individuals
This article has 6 authors:Reviewed by ScreenIT
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Adequacy of Serial Self-performed SARS-CoV-2 Rapid Antigen Detection Testing for Longitudinal Mass Screening in the Workplace
This article has 8 authors:Reviewed by ScreenIT