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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A randomized, controlled, feasibility study of RD‐X19 in subjects with mild‐to‐moderate COVID‐19 in the outpatient setting
This article has 13 authors:Reviewed by ScreenIT
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Predicting willingness to be vaccinated for Covid-19: Evidence from New Zealand
This article has 3 authors:Reviewed by ScreenIT
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Long-Term Health-Related Quality of Life in Non-Hospitalized Coronavirus Disease 2019 (COVID-19) Cases With Confirmed Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Infection in England: Longitudinal Analysis and Cross-Sectional Comparison With Controls
This article has 13 authors:Reviewed by ScreenIT
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Inequalities in the evolution of the COVID-19 pandemic: an ecological study of inequalities in mortality in the first wave and the effects of the first national lockdown in England
This article has 4 authors:Reviewed by ScreenIT
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Epidemic Surveillance Models for Containing the Spread of SARS-CoV-2 Variants: Taiwan Experience
This article has 9 authors:Reviewed by ScreenIT
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Psychological, social and financial impacts of COVID-19 on culturally and linguistically diverse communities in Sydney, Australia
This article has 15 authors:Reviewed by ScreenIT
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Clinical characteristics of pregnant women infected with Coronavirus Disease 2019 in China: a nationwide case-control study
This article has 10 authors:Reviewed by ScreenIT
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In-person schooling and associated COVID-19 risk in the United States over spring semester 2021
This article has 8 authors:Reviewed by ScreenIT
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Regional excess mortality during the 2020 COVID-19 pandemic in five European countries
This article has 11 authors:Reviewed by ScreenIT
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High SARS-CoV-2 Seroprevalence in Rural Peru, 2021: a Cross-Sectional Population-Based Study
This article has 12 authors:Reviewed by ScreenIT