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.

About Followers

Latest preprint reviews

  1. The Community Opinions on Vaccine Issues and Decisions (COVID) Survey: Using a rapid Knowledge, Attitude and Practice (KAP) survey in supporting a community engagement approach to address COVID-19 vaccine uptake initiatives

    1. Najeeb Rahman

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Characteristics and clinical features of SARS-CoV-2 infections among ambulatory and hospitalized children and adolescents in an integrated health care system in Tennessee

    1. Leigh M. Howard
    2. Kathryn Garguilo
    3. Jessica Gillon
    4. Adam C. Seegmiller
    5. Jonathan E. Schmitz
    6. Steven A. Webber
    7. Natasha B. Halasa
    8. Ritu Banerjee

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Evaluation of a Rapid Antigen Test To Detect SARS-CoV-2 Infection and Identify Potentially Infectious Individuals

    1. Michael Korenkov
    2. Nareshkumar Poopalasingam
    3. Matthias Madler
    4. Kanika Vanshylla
    5. Ralf Eggeling
    6. Maike Wirtz
    7. Irina Fish
    8. Felix Dewald
    9. Lutz Gieselmann
    10. Clara Lehmann
    11. Gerd Fätkenheuer
    12. Henning Gruell
    13. Nico Pfeifer
    14. Eva Heger
    15. Florian Klein

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Rapid evaluation of COVID-19 vaccine effectiveness against symptomatic infection with SARS-CoV-2 variants by analysis of genetic distance

    1. Lirong Cao
    2. Jingzhi Lou
    3. See Yeung Chan
    4. Hong Zheng
    5. Caiqi Liu
    6. Shi Zhao
    7. Qi Li
    8. Chris Ka Pun Mok
    9. Renee Wan Yi Chan
    10. Marc Ka Chun Chong
    11. William Ka Kei Wu
    12. Zigui Chen
    13. Eliza Lai Yi Wong
    14. Paul Kay Sheung Chan
    15. Benny Chung Ying Zee
    16. Eng Kiong Yeoh
    17. Maggie Haitian Wang

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Identification of Clinical Features Associated with Mortality in COVID-19 Patients

    1. Rahimeh Eskandarian
    2. Roohallah Alizadehsani
    3. Mohaddeseh Behjati
    4. Mehrdad Zahmatkesh
    5. Zahra Alizadeh Sani
    6. Azadeh Haddadi
    7. Kourosh Kakhi
    8. Mohamad Roshanzamir
    9. Afshin Shoeibi
    10. Sadiq Hussain
    11. Fahime Khozeimeh
    12. Mohammad Tayarani Darbandy
    13. Javad Hassannataj Joloudari
    14. Reza Lashgari
    15. Abbas Khosravi
    16. Saeid Nahavandi
    17. Sheikh Mohammed Shariful Islam

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Phase transitions may explain why SARS-CoV-2 spreads so fast and why new variants are spreading faster

    1. J.C. Phillips
    2. Marcelo A. Moret
    3. Gilney F. Zebende
    4. Carson C. Chow

    Reviewed by Rapid Reviews Infectious Diseases, ScreenIT

    5 evaluationsAppears in 2 listsLatest version Latest activity

  7. Assessment of the Burden of SARS-CoV-2 Variants of Concern Among Essential Workers in the Greater Toronto Area, Canada

    1. Zain Chagla
    2. Huiting Ma
    3. Beate Sander
    4. Stefan D. Baral
    5. Gary Moloney
    6. Sharmistha Mishra

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Metagenomic sequencing of municipal wastewater provides a near-complete SARS-CoV-2 genome sequence identified as the B.1.1.7 variant of concern from a Canadian municipality concurrent with an outbreak

    1. Chrystal Landgraff
    2. Lu Ya Ruth Wang
    3. Cody Buchanan
    4. Matthew Wells
    5. Justin Schonfeld
    6. Kyrylo Bessonov
    7. Jennifer Ali
    8. Erin Robert
    9. Celine Nadon

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. The implementation of a virtual ward using digital solutions informing community clinicians in early supported discharge of patients with SARS-Cov2 respiratory symptoms from an acute hospital setting

    1. J Swift
    2. Z Harris
    3. A Woodward
    4. NI O’Kelly
    5. C Barker
    6. S Ghosh

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. CONTAIN: An open-source shipping container laboratory optimised for automated COVID-19 diagnostics

    1. Kenneth T. Walker
    2. Matthew Donora
    3. Anthony Thomas
    4. Alexander James Phillips
    5. Krishma Ramgoolam
    6. Kjara S Pilch
    7. Phil Oberacker
    8. Tomasz Piotr Jurkowski
    9. Rares Marius Gosman
    10. Aubin Fleiss
    11. Alex Perkins
    12. Neil MacKenzie
    13. Mark Zuckerman
    14. Davide Danovi
    15. Helene Steiner
    16. Thomas Meany

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity
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