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.

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Latest preprint reviews

  1. A Nasal Spray Solution of Grapefruit Seed Extract plus Xylitol Displays Virucidal Activity Against SARS-Cov-2 In Vitro

    1. Gustavo Ferrer
    2. Arian Betancourt
    3. Camille Celeste Go
    4. Hector Vazquez
    5. Jonna B. Westover
    6. Valeria Cagno
    7. Caroline Tapparel
    8. Marcos A. Sanchez-Gonzalez

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Findings From Cardiovascular Evaluation of National Collegiate Athletic Association Division I Collegiate Student-Athletes After Asymptomatic or Mildly Symptomatic SARS-CoV-2 Infection

    1. Calvin E. Hwang
    2. Andrea Kussman
    3. Jeffrey W. Christle
    4. Victor Froelicher
    5. Matthew T. Wheeler
    6. Kegan J. Moneghetti

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  3. Sustainable social distancing through facemask use and testing during the Covid-19 pandemic

    1. Diego Chowell
    2. Kimberlyn Roosa
    3. Ranu Dhillon
    4. Gerardo Chowell
    5. Devabhaktuni Srikrishna

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Direct detection of SARS-CoV-2 RNA using high-contrast pH-sensitive dyes

    1. Timothy A. Brown
    2. Katherine S. Schaefer
    3. Arthur Tsang
    4. Hyun Ah Yi
    5. Jonathan B. Grimm
    6. Andrew L. Lemire
    7. Fadi M. Jradi
    8. Charles Kim
    9. Kevin McGowan
    10. Kimberly Ritola
    11. Derek T. Armstrong
    12. Heba H. Mostafa
    13. Wyatt Korff
    14. Ronald D. Vale
    15. Luke D. Lavis

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Investigating smoking and nicotine dependence among people with severe mental illness during the COVID-19 pandemic: analysis of linked data from a UK Closing the Gap cohort

    1. Emily Peckham
    2. Victoria Allgar
    3. Suzanne Crosland
    4. Paul Heron
    5. Gordon Johnston
    6. Elizabeth Newbronner
    7. Elena Ratschen
    8. Panagiotis Spanakis
    9. Ruth Wadman
    10. Lauren Walker
    11. Simon Gilbody

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Short-term analysis and long-term predictions for the COVID-19 epidemic in a seasonality regime: the Italian case

    1. Giulia Simoni
    2. Anna Fochesato
    3. Federico Reali
    4. Giulia Giordano
    5. Enrico Domenici
    6. Luca Marchetti

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Prior infection by seasonal coronaviruses, as assessed by serology, does not prevent SARS-CoV-2 infection and disease in children, France, April to June 2020

    1. Isabelle Sermet-Gaudelus
    2. Sarah Temmam
    3. Christèle Huon
    4. Sylvie Behillil
    5. Vincent Gajdos
    6. Thomas Bigot
    7. Thibaut Lurier
    8. Delphine Chrétien
    9. Marija Backovic
    10. Agnès Delaunay-Moisan
    11. Flora Donati
    12. Mélanie Albert
    13. Elsa Foucaud
    14. Bettina Mesplées
    15. Grégoire Benoist
    16. Albert Faye
    17. Marc Duval-Arnould
    18. Célia Cretolle
    19. Marina Charbit
    20. Mélodie Aubart
    21. Johanne Auriau
    22. Mathie Lorrot
    23. Dulanjalee Kariyawasam
    24. Laura Fertitta
    25. Gilles Orliaguet
    26. Bénédicte Pigneur
    27. Brigitte Bader-Meunier
    28. Coralie Briand
    29. Vincent Enouf
    30. Julie Toubiana
    31. Tiffany Guilleminot
    32. Sylvie van der Werf
    33. Marianne Leruez-Ville
    34. Marc Eloit

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  8. SARS‑CoV-2 RBD219-N1C1: A yeast-expressed SARS-CoV-2 recombinant receptor-binding domain candidate vaccine stimulates virus neutralizing antibodies and T-cell immunity in mice

    1. Jeroen Pollet
    2. Wen-Hsiang Chen
    3. Leroy Versteeg
    4. Brian Keegan
    5. Bin Zhan
    6. Junfei Wei
    7. Zhuyun Liu
    8. Jungsoon Lee
    9. Rahki Kundu
    10. Rakesh Adhikari
    11. Cristina Poveda
    12. Maria Jose Villar
    13. Ana Carolina de Araujo Leao
    14. Joanne Altieri Rivera
    15. Zoha Momin
    16. Portia M. Gillespie
    17. Jason T. Kimata
    18. Ulrich Strych
    19. Peter J. Hotez
    20. Maria Elena Bottazzi

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Predictive model with analysis of the initial spread of COVID-19 in India

    1. Shinjini Ghosh

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  10. Risk factors for severity of COVID-19: a rapid review to inform vaccine prioritisation in Canada

    1. Aireen Wingert
    2. Jennifer Pillay
    3. Michelle Gates
    4. Samantha Guitard
    5. Sholeh Rahman
    6. Andrew Beck
    7. Ben Vandermeer
    8. Lisa Hartling

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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