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. MAJORA: Continuous integration supporting decentralised sequencing for SARS-CoV-2 genomic surveillance

    1. Samuel M. Nicholls
    2. Radoslaw Poplawski
    3. Matthew J. Bull
    4. Anthony Underwood
    5. Michael Chapman
    6. Khalil Abu-Dahab
    7. Ben Taylor
    8. Ben Jackson
    9. Sara Rey
    10. Roberto Amato
    11. Rich Livett
    12. Sónia Gonçalves
    13. Ewan M. Harrison
    14. Sharon J. Peacock
    15. David M Aanensen
    16. Andrew Rambaut
    17. Thomas R. Connor
    18. Nicholas J. Loman
    19. The COVID-19 Genomics UK (COG-UK) Consortium

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. The lockdown of Hubei Province causing different transmission dynamics of the novel coronavirus (2019-nCoV) in Wuhan and Beijing

    1. Xinhai Li
    2. Xumao Zhao
    3. Yuehua Sun

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Social learning in a network model of Covid-19

    1. Allan Davids
    2. Gideon du Rand
    3. Co-Pierre Georg
    4. Tina Koziol
    5. Joeri Schasfoort

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. COVID-19 RISK EVALUATION AND TESTING STRATEGIES BASED ON CONTACT TRACING NETWORK AND INFORMATION ANALYSIS

    1. Ankush Kumar

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. A machine learning explanation of the pathogen-immune relationship of SARS-CoV-2 (COVID-19), model to predict immunity, and therapeutic opportunity

    1. Eric Luellen

    Reviewed by ScreenIT

    3 evaluationsAppears in 1 listLatest version Latest activity

  6. Estimates of outbreak-specific SARS-CoV-2 epidemiological parameters from genomic data

    1. Timothy G. Vaughan
    2. Jérémie Sciré
    3. Sarah A. Nadeau
    4. Tanja Stadler

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Occurrence and transmission potential of asymptomatic and presymptomatic SARS-CoV-2 infections: A living systematic review and meta-analysis

    1. Diana Buitrago-Garcia
    2. Dianne Egli-Gany
    3. Michel J. Counotte
    4. Stefanie Hossmann
    5. Hira Imeri
    6. Aziz Mert Ipekci
    7. Georgia Salanti
    8. Nicola Low

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  8. Social Media Reveals Psychosocial Effects of the COVID-19 Pandemic

    1. Koustuv Saha
    2. John Torous
    3. Eric D. Caine
    4. Munmun De Choudhury

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Evidence for SARS-CoV-2 Spike Protein in the Urine of COVID-19 Patients

    1. Santosh George
    2. Anasuya Chattopadhyay Pal
    3. Jacqueline Gagnon
    4. Sushma Timalsina
    5. Pallavi Singh
    6. Pratap Vydyam
    7. Muhammad Munshi
    8. Joy E. Chiu
    9. Isaline Renard
    10. Christina A. Harden
    11. Isabel M. Ott
    12. Anne E. Watkins
    13. Chantal B.F. Vogels
    14. Peiwen Lu
    15. Maria Tokuyama
    16. Arvind Venkataraman
    17. Arnau Casanovas-Massana
    18. Anne L. Wyllie
    19. Veena Rao
    20. Melissa Campbell
    21. Shelli F. Farhadian
    22. Nathan D. Grubaugh
    23. Charles S. Dela Cruz
    24. Albert I. Ko
    25. Amalia Z. Berna Perez
    26. Elikplim H. Akaho
    27. Dennis G. Moledina
    28. Jeffrey Testani
    29. Audrey R. John
    30. Michel Ledizet
    31. Choukri Ben Mamoun
    32. and the Yale IMPACT Team

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. The association of COVID-19 employment shocks with suicide and safety net use: An early-stage investigation

    1. Michihito Ando
    2. Masato Furuichi

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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