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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Implementation of a Rapid RT-LAMP Saliva-Based SARS-CoV-2 Testing Program in the Workplace
This article has 6 authors:Reviewed by ScreenIT
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Development of an Effective Immune Response in Adults With Down Syndrome After Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Vaccination
This article has 14 authors:Reviewed by ScreenIT
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Emergence of Two Distinct SARS-CoV-2 Gamma Variants and the Rapid Spread of P.1-like-II SARS-CoV-2 during the Second Wave of COVID-19 in Santa Catarina, Southern Brazil
This article has 37 authors:Reviewed by ScreenIT
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Using mobile phone-based text message to recruit representative samples: Assessment of a cross-sectional survey about the COVID-19 vaccine hesitation
This article has 11 authors:Reviewed by ScreenIT
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Waning COVID-19 Vaccine Effectiveness for BNT162b2 and CoronaVac in Malaysia: An Observational Study
This article has 12 authors:Reviewed by ScreenIT
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Background incidence rates of adverse events of special interest related to COVID-19 vaccines in Ontario, Canada, 2015 to 2020, to inform COVID-19 vaccine safety surveillance
This article has 7 authors:Reviewed by ScreenIT
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The impact of state paid sick leave policies on weekday workplace mobility during the COVID-19 pandemic
This article has 6 authors:Reviewed by ScreenIT
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A prospective, single-center study to evaluate the clinical performance of Meril ABFind in individuals vaccinated against COVID-19
This article has 4 authors:Reviewed by ScreenIT
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Improved prediction of new COVID-19 cases using a simple vector autoregressive model: evidence from seven New York state counties
This article has 2 authors:Reviewed by ScreenIT
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Simple risk scores to predict hospitalization or death in outpatients with COVID-19 including the Omicron variant
This article has 3 authors:Reviewed by ScreenIT