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
-
Covid-19 in South America: Clinical and epidemiological characteristics among 381 patients during the early phase of the pandemic in Santiago, Chile
This article has 11 authors:Reviewed by ScreenIT
-
Hospital-acquired infective endocarditis during Covid-19 pandemic
This article has 7 authors:Reviewed by ScreenIT
-
Modelling pooling strategies for SARS-CoV-2 testing in a university setting
This article has 11 authors:Reviewed by ScreenIT
-
Understanding Soaring Coronavirus Cases and the Effect of Contagion Policies in the UK
This article has 2 authors:Reviewed by ScreenIT
-
Multiple SARS-CoV-2 variants escape neutralization by vaccine-induced humoral immunity
This article has 15 authors:Reviewed by Rapid Reviews Infectious Diseases, ScreenIT
-
A new extension of state-space SIR model to account for Underreporting – An application to the COVID-19 transmission in California and Florida
This article has 2 authors:Reviewed by ScreenIT
-
SARS-CoV-2 Infection Hospitalization Rate and Infection Fatality Rate Among the Non-Congregate Population in Connecticut
This article has 12 authors:Reviewed by ScreenIT
-
Combination therapy with tocilizumab and corticosteroids for aged patients with severe COVID-19 pneumonia: A single-center retrospective study
This article has 30 authors:Reviewed by ScreenIT
-
Assessment of the Impacts of Pharmaceutical and Non-pharmaceutical Intervention on COVID-19 in South Africa Using Mathematical Model
This article has 3 authors:Reviewed by ScreenIT
-
Estimating the effectiveness of the Pfizer COVID-19 BNT162b2 vaccine after a single dose. A reanalysis of a study of ‘real-world’ vaccination outcomes from Israel
This article has 2 authors:Reviewed by ScreenIT