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. Integrin/TGF-β1 Inhibitor GLPG-0187 Blocks SARS-CoV-2 Delta and Omicron Pseudovirus Infection of Airway Epithelial Cells In Vitro, Which Could Attenuate Disease Severity

    1. Kelsey E. Huntington
    2. Lindsey Carlsen
    3. Eui-Young So
    4. Matthias Piesche
    5. Olin Liang
    6. Wafik S. El-Deiry

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Preserved recognition of Omicron spike following COVID-19 messenger RNA vaccination in pregnancy

    1. Yannic C. Bartsch
    2. Caroline Atyeo
    3. Jaewon Kang
    4. Yongfei Cai
    5. Bing Chen
    6. Kathryn J. Gray
    7. Andrea G. Edlow
    8. Galit Alter

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Potential Application of SARS-CoV-2 Rapid Antigen Diagnostic Tests for the Detection of Infectious Individuals Attending Mass Gatherings – A Simulation Study

    1. Conor G. McAloon
    2. Darren Dahly
    3. Cathal Walsh
    4. Patrick Wall
    5. Breda Smyth
    6. Simon J. More
    7. Conor Teljeur

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. The impact of the COVID-19 pandemic on cardiovascular disease prevention and management

    1. Caroline E. Dale
    2. Rohan Takhar
    3. Raymond Carragher
    4. Michail Katsoulis
    5. Fatemeh Torabi
    6. Stephen Duffield
    7. Seamus Kent
    8. Tanja Mueller
    9. Amanj Kurdi
    10. Thu Nguyen Le Anh
    11. Stuart McTaggart
    12. Hoda Abbasizanjani
    13. Sam Hollings
    14. Andrew Scourfield
    15. Ronan A. Lyons
    16. Rowena Griffiths
    17. Jane Lyons
    18. Gareth Davies
    19. Daniel Harris
    20. Alex Handy
    21. Mehrdad A. Mizani
    22. Christopher Tomlinson
    23. Johan H. Thygesen
    24. Mark Ashworth
    25. Spiros Denaxas
    26. Amitava Banerjee
    27. Jonathan A. C. Sterne
    28. Paul Brown
    29. Ian Bullard
    30. Rouven Priedon
    31. Mamas A. Mamas
    32. Ann Slee
    33. Paula Lorgelly
    34. Munir Pirmohamed
    35. Kamlesh Khunti
    36. Andrew D. Morris
    37. Cathie Sudlow
    38. Ashley Akbari
    39. Marion Bennie
    40. Naveed Sattar
    41. Reecha Sofat
    42. CVD-COVID-UK Consortium

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. A Calculator for COVID-19 Severity Prediction Based on Patient Risk Factors and Number of Vaccines Received

    1. Ariel Israel
    2. Alejandro A. Schäffer
    3. Eugene Merzon
    4. Ilan Green
    5. Eli Magen
    6. Avivit Golan-Cohen
    7. Shlomo Vinker
    8. Eytan Ruppin

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Increased risk of poor clinical outcome in COVID ‐19 patients with diabetes mellitus and in‐hospital mortality predictors: A retrospective cohort from a tertiary hospital in Indonesia

    1. Md Ikhsan Mokoagow
    2. Dante Saksono Harbuwono
    3. Ida Ayu Kshanti
    4. C. Martin Rumende
    5. Imam Subekti
    6. Kuntjoro Harimurti
    7. Khie Chen
    8. Hamzah Shatri

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Analyzing and Modeling the Spread of SARS-CoV-2 Omicron Lineages BA.1 and BA.2, France, September 2021–February 2022

    1. Mircea T. Sofonea
    2. Bénédicte Roquebert
    3. Vincent Foulongne
    4. David Morquin
    5. Laura Verdurme
    6. Sabine Trombert-Paolantoni
    7. Mathilde Roussel
    8. Jean-Christophe Bonetti
    9. Judith Zerah
    10. Stéphanie Haim-Boukobza
    11. Samuel Alizon

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Antibodies elicited by SARS-CoV-2 infection or mRNA vaccines have reduced neutralizing activity against Beta and Omicron pseudoviruses

    1. Benjamin L. Sievers
    2. Saborni Chakraborty
    3. Yong Xue
    4. Terri Gelbart
    5. Joseph C. Gonzalez
    6. Arianna G. Cassidy
    7. Yarden Golan
    8. Mary Prahl
    9. Stephanie L. Gaw
    10. Prabhu S. Arunachalam
    11. Catherine A. Blish
    12. Scott D. Boyd
    13. Mark M. Davis
    14. Prasanna Jagannathan
    15. Kari C. Nadeau
    16. Bali Pulendran
    17. Upinder Singh
    18. Richard H. Scheuermann
    19. Matthew B. Frieman
    20. Sanjay Vashee
    21. Taia T. Wang
    22. Gene S. Tan

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Humoral immune responses against SARS-CoV-2 variants including omicron in solid organ transplant recipients after three doses of a COVID-19 mRNA vaccine

    1. Kapil K. Saharia
    2. Jennifer S. Husson
    3. Silke V. Niederhaus
    4. Thierry Iraguha
    5. Stephanie V. Avila
    6. Youngchae J. Yoo
    7. Nancy M. Hardy
    8. Xiaoxuan Fan
    9. Destiny Omili
    10. Alice Crane
    11. Amber Carrier
    12. Wen Y. Xie
    13. Erica Vander Mause
    14. Kim Hankey
    15. Sheri Bauman
    16. Patricia Lesho
    17. Heather D. Mannuel
    18. Ashish Ahuja
    19. Minu Mathew
    20. James Avruch
    21. John Baddley
    22. Olga Goloubeva
    23. Kirti Shetty
    24. Saurabh Dahiya
    25. Aaron P. Rapoport
    26. Tim Luetkens
    27. Djordje Atanackovic

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Sample Size Calculations for Variant Surveillance in the Presence of Biological and Systematic Biases

    1. Shirlee Wohl
    2. Elizabeth C. Lee
    3. Bethany L. DiPrete
    4. Justin Lessler

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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