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. Epistasis at the SARS-CoV-2 RBD Interface and the Propitiously Boring Implications for Vaccine Escape

    1. Nash D. Rochman
    2. Guilhem Faure
    3. Yuri I. Wolf
    4. Peter L. Freddolino
    5. Feng Zhang
    6. Eugene V. Koonin

    Reviewed by Rapid Reviews Infectious Diseases, ScreenIT

    3 evaluationsAppears in 2 listsLatest version Latest activity

  2. COVID-19 vaccine hesitancy among Algerian medical students: a cross-sectional study in five universities

    1. Mohamed Amine Kerdoun
    2. Abdellah Hamza Henni
    3. Assia Yamoun
    4. Amine Rahmani
    5. Rym Messaouda Kerdoun
    6. Nazia Elouar

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. The Emergence of SARS-CoV-2 Variants of Concern Is Driven by Acceleration of the Substitution Rate

    1. John H Tay
    2. Ashleigh F Porter
    3. Wytamma Wirth
    4. Sebastian Duchene

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Real-world evaluation of rapid and laboratory-free COVID-19 triage for emergency care: external validation and pilot deployment of artificial intelligence driven screening

    1. Andrew A S Soltan
    2. Jenny Yang
    3. Ravi Pattanshetty
    4. Alex Novak
    5. Yang Yang
    6. Omid Rohanian
    7. Sally Beer
    8. Marina A Soltan
    9. David R Thickett
    10. Rory Fairhead
    11. Tingting Zhu
    12. David W Eyre
    13. David A Clifton
    14. Adam Watson
    15. Akshay Bhargav
    16. Alex Tough
    17. Alice Rogers
    18. Ayisha Shaikh
    19. Carolina Valensise
    20. Charlotte Lee
    21. Claire Otasowie
    22. David Metcalfe
    23. Ekta Agarwal
    24. Elham Zareh
    25. Evelyn Thangaraj
    26. Florence Pickles
    27. Gabriella Kelly
    28. Gayatri Tadikamalla
    29. George Shaw
    30. Heather Tong
    31. Hettie Davies
    32. Jasdeep Bahra
    33. Jessica Morgan
    34. Joe Wilson
    35. Joseph Cutteridge
    36. Katherine O'Byrne
    37. Luiza Farache Trajano
    38. Madeleine Oliver
    39. Maria Pikoula
    40. Maya Mendoza
    41. Melissa Keevil
    42. Muhammad Faisal
    43. Natasha Dole
    44. Oscar Deal
    45. Rebecca Conway-Jones
    46. Shajeel Sattar
    47. Sneha Kundoor
    48. Sumaiyah Shah
    49. Vani Muthusami

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Towards the global equilibrium of COVID‐19: Statistical analysis of country‐level data

    1. Mark Last

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Prediction of vaccine efficacy of the Delta variant

    1. Xinhua Chen
    2. Andrew S. Azman
    3. Wanying Lu
    4. Ruijia Sun
    5. Nan Zheng
    6. Shijia Ge
    7. Xiaowei Deng
    8. Juan Yang
    9. Daniel T. Leung
    10. Hongjie Yu

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Enzymatic Beacons for Specific Sensing of Dilute Nucleic Acid**

    1. Xiaoyu Zhang
    2. Venubabu Kotikam
    3. Eriks Rozners
    4. Brian P. Callahan

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Projected resurgence of COVID-19 in the United States in July—December 2021 resulting from the increased transmissibility of the Delta variant and faltering vaccination

    1. Shaun Truelove
    2. Claire P Smith
    3. Michelle Qin
    4. Luke C Mullany
    5. Rebecca K Borchering
    6. Justin Lessler
    7. Katriona Shea
    8. Emily Howerton
    9. Lucie Contamin
    10. John Levander
    11. Jessica Kerr
    12. Harry Hochheiser
    13. Matt Kinsey
    14. Kate Tallaksen
    15. Shelby Wilson
    16. Lauren Shin
    17. Kaitlin Rainwater-Lovett
    18. Joseph C Lemairtre
    19. Juan Dent
    20. Joshua Kaminsky
    21. Elizabeth C Lee
    22. Javier Perez-Saez
    23. Alison Hill
    24. Dean Karlen
    25. Matteo Chinazzi
    26. Jessica T Davis
    27. Kunpeng Mu
    28. Xinyue Xiong
    29. Ana Pastore y Piontti
    30. Alessandro Vespignani
    31. Ajitesh Srivastava
    32. Przemyslaw Porebski
    33. Srinivasan Venkatramanan
    34. Aniruddha Adiga
    35. Bryan Lewis
    36. Brian Klahn
    37. Joseph Outten
    38. Mark Orr
    39. Galen Harrison
    40. Benjamin Hurt
    41. Jiangzhuo Chen
    42. Anil Vullikanti
    43. Madhav Marathe
    44. Stefan Hoops
    45. Parantapa Bhattacharya
    46. Dustin Machi
    47. Shi Chen
    48. Rajib Paul
    49. Daniel Janies
    50. Jean-Claude Thill
    51. Marta Galanti
    52. Teresa K Yamana
    53. Sen Pei
    54. Jeffrey L Shaman
    55. Jessica M Healy
    56. Rachel B Slayton
    57. Matthew Biggerstaff
    58. Michael A Johansson
    59. Michael C Runge
    60. Cecile Viboud

    • Curated by eLife

      Evaluation Summary:

      In this paper, the authors presented the joint efforts from nine modeling teams to provide six-month projection of the COVID-19 pandemic across the US, in view of the circulation of the more transmissible Delta variant. All of the nine models projected substantial Fall resurgences based on data as of 3 July 2021, but the actual resurgence scale as of 31 July 2021 had exceeded the projections of all of the nine models. This suggests that transmission may be even higher than expected given model assumptions, and that forecasts beyond more than a few weeks are likely to be highly uncertain. This paper will be of high interest to public health specialists, forecast modelers, and members of the general public interested in the evolution of the COVID-19 pandemic and the impact of public health interventions in the USA.

      (This preprint has been reviewed by eLife. We include the public reviews from the reviewers here; the authors also receive private feedback with suggested changes to the manuscript. Reviewer #3 agreed to share their name with the authors.)

    Reviewed by eLife, ScreenIT

    5 evaluationsAppears in 2 listsLatest version Latest activity

  9. COVID-19 OUTCOMES IN PREGNANCY: A REVIEW OF 275 SCREENED STUDIES

    1. Rupalakshmi Vijayan
    2. Hanna Moon
    3. Jasmine Joseph
    4. Madiha Zaidi
    5. Chhaya Kamwal
    6. Andrelle Senatus
    7. Shavy Nagpal
    8. Miguel Diaz

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. A follow-up on quantitative and qualitative olfactory dysfunction and other symptoms in patients recovering from COVID-19 smell loss

    1. K. Ohla
    2. M.G. Veldhuizen
    3. T. Green
    4. M.E. Hannum
    5. A.J. Bakke
    6. S.T. Moein
    7. A. Tognetti
    8. E.M. Postma
    9. R. Pellegrino
    10. D.L.D. Hwang
    11. J. Albayay
    12. S. Koyama
    13. A.A. Nolden
    14. T. Thomas-Danguin
    15. C. Mucignat-Caretta
    16. N.S. Menger
    17. I. Croijmans
    18. L. Öztürk
    19. H. Yanık
    20. D. Pierron
    21. V. Pereda-Loth
    22. A. Nunez-Parra
    23. A.M. Martinez Pineda
    24. D. Gillespie
    25. M.C. Farruggia
    26. C. Cecchetto
    27. M.A. Fornazieri
    28. C. Philpott
    29. V. Voznessenskaya
    30. K.W. Cooper
    31. P. Rohlfs Dominguez
    32. O. Calcinoni
    33. J. de Groot
    34. S. Boesveldt
    35. S. Bhutani
    36. E.M. Weir
    37. C. Exten
    38. P.V. Joseph
    39. J.E. Hayes
    40. M.Y. Niv

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
Newer Page 970 of 2361 Older