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. Effect of specific non-pharmaceutical intervention policies on SARS-CoV-2 transmission in the counties of the United States

    1. Bingyi Yang
    2. Angkana T. Huang
    3. Bernardo Garcia-Carreras
    4. William E. Hart
    5. Andrea Staid
    6. Matt D. T. Hitchings
    7. Elizabeth C. Lee
    8. Chanelle J. Howe
    9. Kyra H. Grantz
    10. Amy Wesolowksi
    11. Joseph Chadi Lemaitre
    12. Susan Rattigan
    13. Carlos Moreno
    14. Brooke A. Borgert
    15. Celeste Dale
    16. Nicole Quigley
    17. Andrew Cummings
    18. Alizée McLorg
    19. Kaelene LoMonaco
    20. Sarah Schlossberg
    21. Drew Barron-Kraus
    22. Harrison Shrock
    23. UFCOVID Interventions Team
    24. Stephanie Khoury
    25. Meenal Indra
    26. Hung-Leong Yau
    27. Ben Cummings
    28. Peter Giannas
    29. Martha-Grace McLean
    30. Ken Hubbard
    31. Camazia Saunders
    32. Caroline Weldon
    33. Caroline Phillips
    34. David Rosenbaum
    35. Dianelys Tabla
    36. Justin Lessler
    37. Carl D. Laird
    38. Derek A. T. Cummings

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Immune Memory in Mild COVID-19 Patients and Unexposed Donors Reveals Persistent T Cell Responses After SARS-CoV-2 Infection

    1. Asgar Ansari
    2. Rakesh Arya
    3. Shilpa Sachan
    4. Someshwar Nath Jha
    5. Anurag Kalia
    6. Anupam Lall
    7. Alessandro Sette
    8. Alba Grifoni
    9. Daniela Weiskopf
    10. Poonam Coshic
    11. Ashok Sharma
    12. Nimesh Gupta

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. High prevalence of SARS-CoV-2 antibodies in care homes affected by COVID-19: Prospective cohort study, England

    1. Shamez N Ladhani
    2. Anna Jeffery-Smith
    3. Monika Patel
    4. Roshni Janarthanan
    5. Jonathan Fok
    6. Emma Crawley-Boevey
    7. Amoolya Vusirikala
    8. Elena Fernandez Ruiz De Olano
    9. Marina Sanchez Perez
    10. Suzanne Tang
    11. Kate Dun-Campbell
    12. Edward Wynne- Evans
    13. Anita Bell
    14. Bharat Patel
    15. Zahin Amin-Chowdhury
    16. Felicity Aiano
    17. Karthik Paranthaman
    18. Thomas Ma
    19. Maria Saavedra-Campos
    20. Joanna Ellis
    21. Meera Chand
    22. Kevin Brown
    23. Mary E. Ramsay
    24. Susan Hopkins
    25. Nandini Shetty
    26. J. Yimmy Chow
    27. Robin Gopal
    28. Maria Zambon

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  4. SARS-CoV-2 elicits robust adaptive immune responses regardless of disease severity

    1. Stine SF Nielsen
    2. Line K Vibholm
    3. Ida Monrad
    4. Rikke Olesen
    5. Giacomo S Frattari
    6. Marie H Pahus
    7. Jesper F Højen
    8. Jesper D Gunst
    9. Christian Erikstrup
    10. Andreas Holleufer
    11. Rune Hartmann
    12. Lars Østergaard
    13. Ole S Søgaard
    14. Mariane H Schleimann
    15. Martin Tolstrup

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Analyzing inherent biases in SARS-CoV-2 PCR and serological epidemiologic metrics

    1. Monia Makhoul
    2. Farah Abou-Hijleh
    3. Shaheen Seedat
    4. Ghina R. Mumtaz
    5. Hiam Chemaitelly
    6. Houssein Ayoub
    7. Laith J. Abu-Raddad

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Modeling the dynamics of SARS-CoV-2 immunity waning, antigenic drifting, and population serology patterns

    1. James S. Koopman
    2. Carl P. Simon

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. The association between COVID-19-imposed lockdowns and online searches for toothache using Google Trends

    1. Ahmad Sofi-Mahmudi
    2. Erfan Shamsoddin
    3. Peyman Ghasemi
    4. Mona Nasser
    5. Bita Mesgarpour

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Covid-19 clinical data analysis using Ball Mapper

    1. Pawel Dlotko
    2. Simon Rudkin

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  9. COVID-19 in England: spatial patterns and regional outbreaks

    1. Claudio Fronterre
    2. Jonathan M Read
    3. Barry Rowlingson
    4. Jessica Bridgen
    5. Simon Alderton
    6. Peter J Diggle
    7. Chris P Jewell

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. COVID-19 virtual patient cohort suggests immune mechanisms driving disease outcomes

    1. Adrianne L. Jenner
    2. Rosemary A. Aogo
    3. Sofia Alfonso
    4. Vivienne Crowe
    5. Xiaoyan Deng
    6. Amanda P. Smith
    7. Penelope A. Morel
    8. Courtney L. Davis
    9. Amber M. Smith
    10. Morgan Craig

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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