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. Organisms causing secondary pneumonias in COVID-19 patients at 5 UK ICUs as detected with the FilmArray test

    1. Zaneeta Dhesi
    2. Virve I Enne
    3. David Brealey
    4. David M Livermore
    5. Juliet High
    6. Charlotte Russell
    7. Antony Colles
    8. Hala Kandil
    9. Damien Mack
    10. Daniel Martin
    11. Valerie Page
    12. Robert Parker
    13. Kerry Roulston
    14. Suveer Singh
    15. Emmanuel Wey
    16. Ann Marie Swart
    17. Susan Stirling
    18. Julie A Barber
    19. Justin O’Grady
    20. Vanya Gant

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  2. Association of University Reopening Policies with New Confirmed COVID-19 Cases in the United States

    1. Yang Li
    2. Cheng Ma
    3. Weijing Tang
    4. Xuefei Zhang
    5. Ji Zhu
    6. Brahmajee K. Nallamothu

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Renal Involvement in Patients with COVID-19 Pneumonia and Outcomes After Stem Cell Nebulization

    1. Gina M. Torres Zambrano
    2. Carlos A. Villegas Valverde
    3. Antonio Bencomo Hernández
    4. Lobna Abdel Hadi
    5. Rene Antonio Rivero
    6. Yendry Ventura Carmenate

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Feasibility of Controlling COVID-19 Outbreaks in the UK by Rolling Interventions

    1. Po Yang
    2. Jun Qi
    3. Shuhao Zhang
    4. Xulong wang
    5. Gaoshan Bi
    6. Yun Yang
    7. Bin Sheng
    8. Xuxin Mao

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Genomic surveillance of SARS-CoV-2 during the first year of the pandemic in the Bronx enabled clinical and epidemiological inference

    1. J. Maximilian Fels
    2. Saad Khan
    3. Ryan Forster
    4. Karin A. Skalina
    5. Surksha Sirichand
    6. Amy S. Fox
    7. Aviv Bergman
    8. William B. Mitchell
    9. Lucia R. Wolgast
    10. Wendy Szymczak
    11. Robert H. Bortz
    12. M. Eugenia Dieterle
    13. Catalina Florez
    14. Denise Haslwanter
    15. Rohit K. Jangra
    16. Ethan Laudermilch
    17. Ariel S. Wirchnianski
    18. Jason Barnhill
    19. David L. Goldman
    20. Hnin Khine
    21. D. Yitzchak Goldstein
    22. Johanna P. Daily
    23. Kartik Chandran
    24. Libusha Kelly

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Using the LIST model to Estimate the Effects of Contact Tracing on COVID-19 Endemic Equilibria in England and its Regions

    1. Rosalyn J. Moran
    2. Alexander J. Billig
    3. Maell Cullen
    4. Adeel Razi
    5. Jean Daunizeau
    6. Rob Leech
    7. Karl J. Friston

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Let the DOCTOR Decide Whom to Test: Adaptive Testing Strategies to Tackle the COVID-19 Pandemic

    1. Yu Liang
    2. Amulya Yadav

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Adherence to the test, trace, and isolate system in the UK: results from 37 nationally representative surveys

    1. Louise E Smith
    2. Henry W W Potts
    3. Richard Amlôt
    4. Nicola T Fear
    5. Susan Michie
    6. G James Rubin

    Reviewed by ScreenIT, NCRC

    2 evaluationsAppears in 3 listsLatest version Latest activity

  9. SARS-CoV-2 engages inflammasome and pyroptosis in human primary monocytes

    1. André C. Ferreira
    2. Vinicius Cardoso Soares
    3. Isaclaudia G. de Azevedo-Quintanilha
    4. Suelen da Silva Gomes Dias
    5. Natalia Fintelman-Rodrigues
    6. Carolina Q. Sacramento
    7. Mayara Mattos
    8. Caroline S. de Freitas
    9. Jairo R. Temerozo
    10. Lívia Teixeira
    11. Eugenio Damaceno Hottz
    12. Ester A. Barreto
    13. Camila R. R. Pão
    14. Lohanna Palhinha
    15. Milene Miranda
    16. Dumith Chequer Bou-Habib
    17. Fernando A. Bozza
    18. Patrícia T. Bozza
    19. Thiago Moreno L. Souza

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Community structured model for vaccine strategies to control COVID19 spread: A mathematical study

    1. Elena Aruffo
    2. Pei Yuan
    3. Yi Tan
    4. Evgenia Gatov
    5. Effie Gournis
    6. Sarah Collier
    7. Nick Ogden
    8. Jacques Bélair
    9. Huaiping Zhu

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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