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. Numbers of close contacts of individuals infected with SARS-CoV-2 and their association with government intervention strategies

    1. Conor G. McAloon
    2. Patrick Wall
    3. Francis Butler
    4. Mary Codd
    5. Eamonn Gormley
    6. Cathal Walsh
    7. Jim Duggan
    8. T. Brendan Murphy
    9. Philip Nolan
    10. Breda Smyth
    11. Katie O’Brien
    12. Conor Teljeur
    13. Martin J. Green
    14. Luke O’Grady
    15. Kieran Culhane
    16. Claire Buckley
    17. Ciara Carroll
    18. Sarah Doyle
    19. Jennifer Martin
    20. Simon J. More

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. SARS-CoV-2 receptor binding mutations and antibody mediated immunity

    1. Marios Mejdani
    2. Kiana Haddadi
    3. Chester Pham
    4. Radhakrishnan Mahadevan

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Public health response to an outbreak of SARS-CoV2 infection in a Barcelona prison

    1. A. Marco
    2. C. Gallego
    3. V. Pérez-Cáceres
    4. R. A. Guerrero
    5. M. Sánchez-Roig
    6. R. M. Sala-Farré
    7. J. Fernández-Náger
    8. E. Turu

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. An Epidemiological Model Considering Isolation to Predict COVID-19 Trends in Tokyo, Japan: Numerical Analysis

    1. Motoaki Utamura
    2. Makoto Koizumi
    3. Seiichi Kirikami

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. HIGH VERSUS STANDARD DOSES OF CORTICOSTEROIDS IN COVID-19 PATIENTS WITH AN ACUTE RESPIRATORY DISTRESS SYNDROME: a controlled observational comparative study

    1. Enric Monreal
    2. Susana Sainz de la Maza
    3. Elena Natera-Villalba
    4. Álvaro Beltrán-Corbellini
    5. Fernando Rodríguez-Jorge
    6. Jose Ignacio Fernández-Velasco
    7. Paulette Walo-Delgado
    8. Alfonso Muriel
    9. Javier Zamora
    10. Araceli Alonso-Canovas
    11. Jesús Fortún
    12. Luis Manzano
    13. Beatriz Montero-Errasquín
    14. Lucienne Costa-Frossard
    15. Jaime Masjuan
    16. Luisa María Villar
    17. for the COVID-HRC group

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. COVID-19 Pandemic in University Hospital: Impact on Medical Training of Medical Interns

    1. WeiHonn Lim
    2. Li Ying Teoh
    3. Kanesh Kumaran A/L Seevalingam
    4. Shanggar Kuppusamy

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Estimating event ban effects on COVID-19 outbreak in Japan

    1. Junko Kurita
    2. Tamie Sugawara
    3. Yasushi Ohkusa

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  8. COVID-19 related social distancing measures and reduction in city mobility

    1. Amyn A. Malik
    2. Chandra Couzens
    3. Saad B. Omer

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Changes in symptomatology, re-infection and transmissibility associated with SARS-CoV-2 variant B.1.1.7: an ecological study

    1. Mark S. Graham
    2. Carole H. Sudre
    3. Anna May
    4. Michela Antonelli
    5. Benjamin Murray
    6. Thomas Varsavsky
    7. Kerstin Kläser
    8. Liane S. Canas
    9. Erika Molteni
    10. Marc Modat
    11. David A. Drew
    12. Long H. Nguyen
    13. Lorenzo Polidori
    14. Somesh Selvachandran
    15. Christina Hu
    16. Joan Capdevila
    17. The COVID-19 Genomics UK (COG-UK) consortium
    18. Alexander Hammers
    19. Andrew T. Chan
    20. Jonathan Wolf
    21. Tim D. Spector
    22. Claire J. Steves
    23. Sebastien Ourselin

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Characterizing the COVID‐19 dynamics with a new epidemic model: Susceptible‐exposed‐asymptomatic‐symptomatic‐active‐removed

    1. Grace Y. Yi
    2. Pingbo Hu
    3. Wenqing He

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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