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
-
SARS‐CoV‐2 and human milk: What is the evidence?
This article has 11 authors:Reviewed by ScreenIT
-
The need of health policy perspective to protect Healthcare Workers during COVID-19 pandemic. A GRADE rapid review on the N95 respirators effectiveness
This article has 11 authors:Reviewed by ScreenIT
-
The Framework for the Prediction of the Critical Turning Period for Outbreak of COVID-19 Spread in China based on the iSEIR Model 1
This article has 5 authors:Reviewed by ScreenIT
-
Patient Empowerment During the COVID-19 Pandemic by Ensuring Safe and Fast Communication of Test Results: Implementation and Performance of a Tracking System
This article has 17 authors:Reviewed by ScreenIT
-
New Epidemiological Model Suggestions Revealing Size of Epidemics Based on the COVID-19 Pandemic Example: Wavelength Models
This article has 1 author:Reviewed by ScreenIT
-
Modeling future spread of infections via mobile geolocation data and population dynamics. An application to COVID-19 in Brazil
This article has 4 authors:Reviewed by ScreenIT
-
BCG epidemiology supports its protection against COVID-19? A word of caution
This article has 4 authors:Reviewed by ScreenIT
-
COVID-19 epidemic in Malaysia: Impact of lockdown on infection dynamics
This article has 10 authors:Reviewed by ScreenIT
-
Is the spread of COVID-19 across countries influenced by environmental, economic and social factors?
This article has 1 author:Reviewed by ScreenIT
-
Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Infection During Pregnancy In China: A Retrospective Cohort Study
This article has 16 authors:Reviewed by ScreenIT