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
-
SARS-CoV-2 Seroprevalence Among All Workers in a Teaching Hospital in Spain: Unmasking The Risk
This article has 9 authors:Reviewed by ScreenIT
-
Distinctive trajectories of the COVID-19 epidemic by age and gender: A retrospective modeling of the epidemic in South Korea
This article has 4 authors:Reviewed by ScreenIT
-
Identifying the measurements required to estimate rates of COVID-19 transmission, infection, and detection, using variational data assimilation
This article has 3 authors:Reviewed by ScreenIT
-
Individual and community-level risk for COVID-19 mortality in the United States
This article has 7 authors:Reviewed by ScreenIT
-
Monitoring and forecasting the number of reported and unreported cases of the COVID-19 epidemic in Brazil using Particle Filter
This article has 3 authors:Reviewed by ScreenIT
-
Study of the Sudanese perceptions of COVID-19: Applying the Health Belief Model
This article has 3 authors:Reviewed by ScreenIT
-
COVID-19 impacts on household energy & food security in a Kenyan informal settlement: The need for integrated approaches to the SDGs
This article has 8 authors:Reviewed by ScreenIT
-
Age separation dramatically reduces COVID-19 mortality rate in a computational model of a large population
This article has 3 authors:Reviewed by ScreenIT
-
A reductive analysis of a compartmental model for COVID-19: data assimilation and forecasting for the United Kingdom
This article has 2 authors:Reviewed by ScreenIT
-
A Systematic Review and Meta-Analysis of Cancer Patients Affected by a Novel Coronavirus
This article has 10 authors:Reviewed by ScreenIT