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. Real-time detection of COVID-19 epicenters within the United States using a network of smart thermometers

    1. S.D. Chamberlain
    2. I. Singh
    3. C. Ariza
    4. A. Daitch
    5. P. Philips
    6. B. D. Dalziel

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Risk of hydroxychloroquine alone and in combination with azithromycin in the treatment of rheumatoid arthritis: a multinational, retrospective study

    1. Jennifer C E Lane
    2. James Weaver
    3. Kristin Kostka
    4. Talita Duarte-Salles
    5. Maria Tereza F Abrahao
    6. Heba Alghoul
    7. Osaid Alser
    8. Thamir M Alshammari
    9. Patricia Biedermann
    10. Juan M Banda
    11. Edward Burn
    12. Paula Casajust
    13. Mitchell M Conover
    14. Aedin C Culhane
    15. Alexander Davydov
    16. Scott L DuVall
    17. Dmitry Dymshyts
    18. Sergio Fernandez-Bertolin
    19. Kristina Fišter
    20. Jill Hardin
    21. Laura Hester
    22. George Hripcsak
    23. Benjamin Skov Kaas-Hansen
    24. Seamus Kent
    25. Sajan Khosla
    26. Spyros Kolovos
    27. Christophe G Lambert
    28. Johan van der Lei
    29. Kristine E Lynch
    30. Rupa Makadia
    31. Andrea V Margulis
    32. Michael E Matheny
    33. Paras Mehta
    34. Daniel R Morales
    35. Henry Morgan-Stewart
    36. Mees Mosseveld
    37. Danielle Newby
    38. Fredrik Nyberg
    39. Anna Ostropolets
    40. Rae Woong Park
    41. Albert Prats-Uribe
    42. Gowtham A Rao
    43. Christian Reich
    44. Jenna Reps
    45. Peter Rijnbeek
    46. Selva Muthu Kumaran Sathappan
    47. Martijn Schuemie
    48. Sarah Seager
    49. Anthony G Sena
    50. Azza Shoaibi
    51. Matthew Spotnitz
    52. Marc A Suchard
    53. Carmen O Torre
    54. David Vizcaya
    55. Haini Wen
    56. Marcel de Wilde
    57. Junqing Xie
    58. Seng Chan You
    59. Lin Zhang
    60. Oleg Zhuk
    61. Patrick Ryan
    62. Daniel Prieto-Alhambra

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Projected early spread of COVID-19 in Africa through 1 June 2020

    1. Carl AB Pearson
    2. Cari Van Schalkwyk
    3. Anna M Foss
    4. Kathleen M O’Reilly
    5. SACEMA Modelling and Analysis Response Team
    6. CMMID COVID-19 working group
    7. Juliet RC Pulliam

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Evaluation of nine commercial SARS-CoV-2 immunoassays

    1. Ria Lassaunière
    2. Anders Frische
    3. Zitta B. Harboe
    4. Alex C.Y. Nielsen
    5. Anders Fomsgaard
    6. Karen A. Krogfelt
    7. Charlotte S. Jørgensen

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Data model to predict prevalence of COVID-19 in Pakistan

    1. Muhammad Qasim
    2. Waqas Ahmad
    3. Shenghuan Zhang
    4. Muhammad Yasir
    5. Muhammad Azhar

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. The effectiveness of non-pharmaceutical interventions in containing epidemics: a rapid review of the literature and quantitative assessment

    1. Jane Cheatley
    2. Sabine Vuik
    3. Marion Devaux
    4. Stefano Scarpetta
    5. Mark Pearson
    6. Francesca Colombo
    7. Michele Cecchini

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Homologous protein domains in SARS-CoV-2 and measles, mumps and rubella viruses: preliminary evidence that MMR vaccine might provide protection against COVID-19

    1. Adam Young
    2. Bjoern Neumann
    3. Rocio Fernandez Mendez
    4. Amir Reyahi
    5. Alexis Joannides
    6. Yorgo Modis
    7. Robin JM Franklin

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Machine learning applied on chest x-ray can aid in the diagnosis of COVID-19: a first experience from Lombardy, Italy

    1. Isabella Castiglioni
    2. Davide Ippolito
    3. Matteo Interlenghi
    4. Caterina Beatrice Monti
    5. Christian Salvatore
    6. Simone Schiaffino
    7. Annalisa Polidori
    8. Davide Gandola
    9. Cristina Messa
    10. Francesco Sardanelli

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. The Role of Procalcitonin in Early Differential Diagnosis of Suspected Children with COVID-19

    1. Denggao Peng

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. The Immediate Effect of COVID-19 Policies on Social-Distancing Behavior in the United States

    1. Rahi Abouk
    2. Babak Heydari

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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