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. COVID-19 infection and outcomes in a population-based cohort of 17 203 adults with intellectual disabilities compared with the general population

    1. Angela Henderson
    2. Michael Fleming
    3. Sally-Ann Cooper
    4. Jill P Pell
    5. Craig Melville
    6. Daniel F Mackay
    7. Chris Hatton
    8. Deborah Kinnear

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Rapid vaccination and partial lockdown minimize 4th waves from emerging highly contagious SARS-CoV-2 variants

    1. Daniel B. Reeves
    2. Chloe Bracis
    3. David A. Swan
    4. Eileen Burns
    5. Mia Moore
    6. Dobromir Dimitrov
    7. Joshua T. Schiffer

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Community use of face masks and similar barriers to prevent respiratory illness such as COVID-19: a rapid scoping review

    1. Julii Brainard
    2. Natalia R. Jones
    3. Iain R Lake
    4. Lee Hooper
    5. Paul R Hunter

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  4. Face coverings and respiratory tract droplet dispersion

    1. Lucia Bandiera
    2. Geethanjali Pavar
    3. Gabriele Pisetta
    4. Shuji Otomo
    5. Enzo Mangano
    6. Jonathan R. Seckl
    7. Paul Digard
    8. Emanuela Molinari
    9. Filippo Menolascina
    10. Ignazio Maria Viola

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  5. Coronavirus-related online web search desire amidst the rising novel coronavirus incidence in Ethiopia: Google Trends-based infodemiology

    1. Behailu Terefe
    2. Alessandro Rovetta
    3. Asha K Rajan
    4. Mengist Awoke

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Identification of high-risk COVID-19 patients using machine learning

    1. Mario A. Quiroz-Juárez
    2. Armando Torres-Gómez
    3. Irma Hoyo-Ulloa
    4. Roberto de J. León-Montiel
    5. Alfred B. U’Ren

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Understanding COVID‐19 misinformation and vaccine hesitancy in context: Findings from a qualitative study involving citizens in Bradford, UK

    1. Bridget Lockyer
    2. Shahid Islam
    3. Aamnah Rahman
    4. Josie Dickerson
    5. Kate Pickett
    6. Trevor Sheldon
    7. John Wright
    8. Rosemary McEachan
    9. Laura Sheard
    10. the Bradford Institute for Health Research Covid‐19 Scientific Advisory Group

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  8. Genomic heterogeneity and clinical characterization of SARS-CoV-2 in Oregon

    1. Alexa K Dowdell
    2. Kevin Matlock
    3. Fred L. Robinson
    4. Roshanthi Weerasinghe
    5. Rogan Rattray
    6. Marina Pukay
    7. Melvin Lathara
    8. Anastacia Harlan
    9. Thomas R. Ward
    10. Mary Campbell
    11. Walter Urba
    12. Ganapati Srinivasa
    13. Carlo B. Bifulco
    14. Brian D. Piening

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Community factors and excess mortality in first wave of the COVID-19 pandemic in England

    1. Bethan Davies
    2. Brandon L. Parkes
    3. James Bennett
    4. Daniela Fecht
    5. Marta Blangiardo
    6. Majid Ezzati
    7. Paul Elliott

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Case- fatality rate in COVID- 19 patients: A meta- analysis of publicly accessible database

    1. Souvik Maitra
    2. Mansij Biswas
    3. Sulagna Bhattacharjee

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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