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. Prophylactic intranasal administration of a TLR2/6 agonist reduces upper respiratory tract viral shedding in a SARS-CoV-2 challenge ferret model

    1. Pamela C. Proud
    2. Daphne Tsitoura
    3. Robert J. Watson
    4. Brendon Y. Chua
    5. Marilyn J. Aram
    6. Kevin R. Bewley
    7. Breeze E. Cavell
    8. Rebecca Cobb
    9. Stuart Dowall
    10. Susan A. Fotheringham
    11. Catherine M.K. Ho
    12. Vanessa Lucas
    13. Didier Ngabo
    14. Emma Rayner
    15. Kathryn A. Ryan
    16. Gillian S. Slack
    17. Stephen Thomas
    18. Nadina I. Wand
    19. Paul Yeates
    20. Christophe Demaison
    21. Weiguang Zeng
    22. Ian Holmes
    23. David C. Jackson
    24. Nathan W. Bartlett
    25. Francesca Mercuri
    26. Miles W. Carroll

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Association of BCG vaccination policy and tuberculosis burden with incidence and mortality of COVID-19

    1. Giovanni Sala
    2. Rik Chakraborti
    3. Atsuhiko Ota
    4. Tsuyoshi Miyakawa

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  3. Machine Learning Approach for Confirmation of COVID-19 Cases: Positive, Negative, Death and Release

    1. Shawni Dutta
    2. Samir Kumar Bandyopadhyay

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Los Angeles County SARS-CoV-2 Epidemic: Critical Role of Multi-generational Intra-household Transmission

    1. Jeffrey E. Harris

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Model-based and model-free characterization of epidemic outbreaks

    1. Jonas Dehning
    2. F. Paul Spitzner
    3. Matthias C. Linden
    4. Sebastian B. Mohr
    5. Joao Pinheiro Neto
    6. Johannes Zierenberg
    7. Michael Wibral
    8. Michael Wilczek
    9. Viola Priesemann

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Sulodexide in the Treatment of Patients with Early Stages of COVID-19: A Randomized Controlled Trial

    1. Alejandro J. Gonzalez-Ochoa
    2. Joseph D. Raffetto
    3. Ana G. Hernández
    4. Nestor Zavala
    5. Obed Gutiérrez
    6. Arturo Vargas
    7. Jorge Loustaunau

    Reviewed by Rapid Reviews Infectious Diseases, ScreenIT

    3 evaluationsAppears in 2 listsLatest version Latest activity

  7. Air temperature influences early Covid-19 outbreak as indicated by worldwide mortality

    1. Claudio S. Quilodrán
    2. Mathias Currat
    3. Juan I. Montoya-Burgos

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Comparative efficacy and safety of current drugs against COVID-19: A systematic review and network meta-analysis

    1. Yi Li
    2. Wei He

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. L18F substrain of SARS-CoV-2 VOC-202012/01 is rapidly spreading in England

    1. Frederic Grabowski
    2. Marek Kochańczyk
    3. Tomasz Lipniacki

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Hawkes process modeling of COVID-19 with mobility leading indicators and spatial covariates

    1. Wen-Hao Chiang
    2. Xueying Liu
    3. George Mohler

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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