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. Passive Microwave Radiometry for the Diagnosis of Coronavirus Disease 2019 Lung Complications in Kyrgyzstan

    1. Batyr Osmonov
    2. Lev Ovchinnikov
    3. Christopher Galazis
    4. Berik Emilov
    5. Mustafa Karaibragimov
    6. Meder Seitov
    7. Sergey Vesnin
    8. Alexander Losev
    9. Vladislav Levshinskii
    10. Illarion Popov
    11. Chingiz Mustafin
    12. Turat Kasymbekov
    13. Igor Goryanin

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Effectiveness of quarantine and testing to prevent COVID-19 transmission from arriving travelers

    1. W. Alton Russell
    2. David L. Buckeridge

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. A comprehensive estimation and analysis of the basic reproduction number (R0) of novel corona virus in India: A comparative study with different lockdown phase of COVID-19

    1. Tushant Agrawal
    2. Mayank Chhabra

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Health Signatures During COVID-19: A Precision Fitness Case Study

    1. Erin P. Pollet
    2. Aishwarya Sathish
    3. Zacharie Maloney
    4. Byron L. Long
    5. Jennifer Brethen
    6. Amina Ann Qutub

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Multimorbidity patterns among COVID-19 deaths: proposal for the construction of etiological models

    1. Julián A. Fernández-Niño
    2. John A. Guerra-Gómez
    3. Alvaro J. Idrovo

    Reviewed by ScreenIT

    3 evaluationsAppears in 1 listLatest version Latest activity

  6. Successful contact tracing systems for COVID-19 rely on effective quarantine and isolation

    1. A. James
    2. M. J. Plank
    3. S. Hendy
    4. R. Binny
    5. A. Lustig
    6. N. Steyn
    7. A. Nesdale
    8. A. Verrall

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Decomposing the sources of SARS-CoV-2 fitness variation in the United States

    1. Lenora Kepler
    2. Marco Hamins-Puertolas
    3. David A Rasmussen

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Negative impact of hyperglycaemia on tocilizumab therapy in Covid-19 patients

    1. R. Marfella
    2. P. Paolisso
    3. C. Sardu
    4. L. Bergamaschi
    5. E.C. D’Angelo
    6. M. Barbieri
    7. M.R. Rizzo
    8. V. Messina
    9. P. Maggi
    10. N. Coppola
    11. C. Pizzi
    12. M. Biffi
    13. P. Viale
    14. N. Galié
    15. G. Paolisso

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  9. Association of contact to small children with a mild course of COVID-19

    1. Martin Dugas
    2. Inga-Marie Schrempf
    3. Kevin Ochs
    4. Christopher Frömmel
    5. Leonard Greulich
    6. Philipp Neuhaus
    7. Phil-Robin Tepasse
    8. Hartmut H.-J. Schmidt

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  10. Confirmed central olfactory system lesions on brain MRI in COVID-19 patients with anosmia: a case-series

    1. Yannick Girardeau
    2. Yoan Gallois
    3. Guillaume De Bonnecaze
    4. Bernard Escudé
    5. Clarisse Lafont
    6. Gilles Chattelier
    7. Mathieu Marx

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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