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. A2B-COVID: A Tool for Rapidly Evaluating Potential SARS-CoV-2 Transmission Events

    1. Christopher J R Illingworth
    2. William L Hamilton
    3. Christopher Jackson
    4. Ben Warne
    5. Ashley Popay
    6. Luke Meredith
    7. Myra Hosmillo
    8. Aminu Jahun
    9. Tom Fieldman
    10. Matthew Routledge
    11. Charlotte J Houldcroft
    12. Laura Caller
    13. Sarah Caddy
    14. Anna Yakovleva
    15. Grant Hall
    16. Fahad A Khokhar
    17. Theresa Feltwell
    18. Malte L Pinckert
    19. Iliana Georgana
    20. Yasmin Chaudhry
    21. Martin Curran
    22. Surendra Parmar
    23. Dominic Sparkes
    24. Lucy Rivett
    25. Nick K Jones
    26. Sushmita Sridhar
    27. Sally Forrest
    28. Tom Dymond
    29. Kayleigh Grainger
    30. Chris Workman
    31. Effrossyni Gkrania-Klotsas
    32. Nicholas M Brown
    33. Michael P Weekes
    34. Stephen Baker
    35. Sharon J Peacock
    36. Theodore Gouliouris
    37. Ian Goodfellow
    38. Daniela De Angelis
    39. M Estée Török

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Associations between COVID-19 transmission rates, park use, and landscape structure

    1. Thomas F. Johnson
    2. Lisbeth A. Hordley
    3. Matthew P. Greenwell
    4. Luke C. Evans

    Reviewed by Rapid Reviews Infectious Diseases, ScreenIT

    3 evaluationsAppears in 2 listsLatest version Latest activity

  3. Successful Reboot of High-Performance Sporting Activities by Japanese National Women’s Handball Team in Tokyo, 2020 during the COVID-19 Pandemic: An Initiative Using the Japan Sports–Cyber Physical System (JS–CPS) of the Sports Research Innovation Project (SRIP)

    1. Issei Ogasawara
    2. Shigeto Hamaguchi
    3. Ryosuke Hasegawa
    4. Yukihiro Akeda
    5. Naoki Ota
    6. Gajanan S. Revankar
    7. Shoji Konda
    8. Takashi Taguchi
    9. Toshiya Takanouchi
    10. Kojiro Imoto
    11. Nobukazu Okimoto
    12. Katsuhiko Sakuma
    13. Akira Uchiyama
    14. Keita Yamasaki
    15. Teruo Higashino
    16. Kazunori Tomono
    17. Ken Nakata

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Estimated Impact of Public and Private Sector COVID-19 Diagnostics and Treatments on US Healthcare Resource Utilization

    1. Daniel M. Sheinson
    2. William B. Wong
    3. Caroline E. Solon
    4. Mindy M. Cheng
    5. Anuj Shah
    6. David Elsea
    7. Yang Meng

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Diagnosis of SARS-CoV-2 Infection with LamPORE, a High-Throughput Platform Combining Loop-Mediated Isothermal Amplification and Nanopore Sequencing

    1. Leon Peto
    2. Gillian Rodger
    3. Daniel P. Carter
    4. Karen L. Osman
    5. Mehmet Yavuz
    6. Katie Johnson
    7. Mohammad Raza
    8. Matthew D. Parker
    9. Matthew D. Wyles
    10. Monique Andersson
    11. Anita Justice
    12. Alison Vaughan
    13. Sarah Hoosdally
    14. Nicole Stoesser
    15. Philippa C. Matthews
    16. David W. Eyre
    17. Timothy E. A. Peto
    18. Miles W. Carroll
    19. Thushan I. de Silva
    20. Derrick W. Crook
    21. Cariad M. Evans
    22. Steven T. Pullan

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Evaluation of the practicability of a finger-stick whole-blood SARS-Cov-2 self-test adapted for the general population

    1. Thierry Prazuck
    2. Jean Phan Van
    3. Florence Sinturel
    4. Frederique Levray
    5. Allan Elie
    6. Denise Camera
    7. Gilles Pialoux

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Nonspecific blood tests as proxies for COVID-19 hospitalization: are there plausible associations after excluding noisy predictors?

    1. G. Ishikawa
    2. G. Argenti
    3. C. B. Fadel

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Prospective observational study and serosurvey of SARS-CoV-2 infection in asymptomatic healthcare workers at a Canadian tertiary care center

    1. Victor H. Ferreira
    2. Andrzej Chruscinski
    3. Vathany Kulasingam
    4. Trevor J. Pugh
    5. Tamara Dus
    6. Brad Wouters
    7. Amit Oza
    8. Matthew Ierullo
    9. Terrance Ku
    10. Beata Majchrzak-Kita
    11. Sonika T. Humar
    12. Ilona Bahinskaya
    13. Natalia Pinzon
    14. Jianhua Zhang
    15. Lawrence E. Heisler
    16. Paul M. Krzyzanowski
    17. Bernard Lam
    18. Ilinca M. Lungu
    19. Dorin Manase
    20. Krista M. Pace
    21. Pouria Mashouri
    22. Michael Brudno
    23. Michael Garrels
    24. Tony Mazzulli
    25. Myron Cybulsky
    26. Atul Humar
    27. Deepali Kumar

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Estimating COVID-19 Cases on University Campuses Prior To Semester

    1. Alex Fout
    2. Jude Bayham
    3. Margaret J Gutilla
    4. Bailey K Fosdick
    5. Heather Pidcoke
    6. Michael Kirby
    7. Peter Jan van Leeuwen
    8. Chuck Anderson

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Simulation-Based Estimation of SARS-CoV-2 Infections Associated With School Closures and Community-Based Nonpharmaceutical Interventions in Ontario, Canada

    1. David Naimark
    2. Sharmistha Mishra
    3. Kali Barrett
    4. Yasin A. Khan
    5. Stephen Mac
    6. Raphael Ximenes
    7. Beate Sander

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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