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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Early Awake Prone and Lateral Position in Non-intubated Severe and Critical Patients with COVID-19 in Wuhan: A Respective Cohort Study
This article has 9 authors:Reviewed by ScreenIT
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Infection Groups Differential (IGD) Score Reveals Infection Ability Difference between SARS-CoV-2 and Other Coronaviruses
This article has 8 authors:Reviewed by ScreenIT
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Brazil Health Care System preparation against COVID-19
This article has 12 authors:Reviewed by ScreenIT
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Timing of non-pharmaceutical interventions to mitigate COVID-19 transmission and their effects on mobility: a cross-country analysis
This article has 2 authors:Reviewed by ScreenIT
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A Non-Linear Biostatistical Graphical Modeling of Preventive Actions and Healthcare Factors in Controlling COVID-19 Pandemic
This article has 5 authors:Reviewed by ScreenIT
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Epidemiological, socio-demographic and clinical features of the early phase of the COVID-19 epidemic in Ecuador
This article has 18 authors:Reviewed by ScreenIT
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The Epidemiology of COVID-19 and applying Non Pharmaceutical interventions by using the Susceptible, Infectious Recovered epidemiological Model in Pakistan
This article has 5 authors:Reviewed by ScreenIT
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CoViD-19 Epidemic in India and Projections: Is Relief in Sight?
This article has 2 authors:Reviewed by ScreenIT
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The confounded crude case-fatality rates (CFR) for COVID-19 hide more than they reveal—a comparison of age-specific and age-adjusted CFRs between seven countries
This article has 4 authors:Reviewed by ScreenIT
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Interplay between mobility, multi-seeding and lockdowns shapes COVID-19 local impact
This article has 10 authors:Reviewed by ScreenIT