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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Heterogeneity and temporal variation in the management of COVID-19: a multinational drug utilization study including 71,921 hospitalized patients from China, South Korea, Spain, and the United States of America
This article has 40 authors:Reviewed by ScreenIT
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Detecting COVID-19 Clusters at High Spatiotemporal Resolution, New York City, New York, USA, June–July 2020
This article has 7 authors:Reviewed by ScreenIT
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Non-pharmaceutical interventions and COVID-19 cases in US summer camps: results from an American Camp Association survey
This article has 4 authors:Reviewed by ScreenIT
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The importance of determining SARS-CoV-2 N-Ag serodiagnostics for the management of COVID-19 pneumonia in hospital settings
This article has 6 authors:Reviewed by ScreenIT
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Excess Out-of-Hospital Mortality and Declining Oxygen Saturation: The Sentinel Role of Emergency Medical Services Data in the COVID-19 Crisis in Tijuana, Mexico
This article has 6 authors:Reviewed by ScreenIT
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Estimating the Risk of Outbreaks of COVID-19 Associated with Shore Leave by Merchant Ship Crews: Simulation Studies for a Case Country
This article has 4 authors:Reviewed by ScreenIT
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Accounting for Underreporting in Mathematical Modeling of Transmission and Control of COVID-19 in Iran
This article has 8 authors:Reviewed by ScreenIT
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Early epidemiological assessment of the transmission potential and virulence of coronavirus disease 2019 (COVID-19) in Wuhan City, China, January–February, 2020
This article has 3 authors:Reviewed by ScreenIT
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The timing and effectiveness of implementing mild interventions of COVID-19 in large industrial regions via a synthetic control method
This article has 10 authors:Reviewed by ScreenIT
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Elevated SARS-CoV-2 Antibodies Distinguish Severe Disease in Early COVID-19 Infection
This article has 29 authors:Reviewed by ScreenIT