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. Sample Pooling as a Strategy of SARS-COV-2 Nucleic Acid Screening Increases the False-negative Rate

    1. Yichuan Gan
    2. Lingyan Du
    3. Oluwasijibomi Damola Faleti
    4. Jing Huang
    5. Gang Xiao
    6. Xiaoming Lyu

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. ROBUST COVID-19-RELATED CONDITION CLASSIFICATION NETWORK

    1. Maximiliano Lucius
    2. Martin Belvisi
    3. Carlos Maria Galmarini

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Eruption of COVID-19 like illness in a remote village in Papua (Indonesia)

    1. Elco van Burg
    2. Wijnanda van Burg-Verhage

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Hypertension and renin-angiotensin system blockers are not associated with expression of angiotensin-converting enzyme 2 (ACE2) in the kidney

    1. Xiao Jiang
    2. James M Eales
    3. David Scannali
    4. Alicja Nazgiewicz
    5. Priscilla Prestes
    6. Michelle Maier
    7. Matthew Denniff
    8. Xiaoguang Xu
    9. Sushant Saluja
    10. Eddie Cano-Gamez
    11. Wojciech Wystrychowski
    12. Monika Szulinska
    13. Andrzej Antczak
    14. Sean Byars
    15. Damian Skrypnik
    16. Maciej Glyda
    17. Robert Król
    18. Joanna Zywiec
    19. Ewa Zukowska-Szczechowska
    20. Louise M Burrell
    21. Adrian S Woolf
    22. Adam Greenstein
    23. Pawel Bogdanski
    24. Bernard Keavney
    25. Andrew P Morris
    26. Anthony Heagerty
    27. Bryan Williams
    28. Stephen B Harrap
    29. Gosia Trynka
    30. Nilesh J Samani
    31. Tomasz J Guzik
    32. Fadi J Charchar
    33. Maciej Tomaszewski

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Constructing and adjusting estimates for household transmission of SARS-CoV-2 from prior studies, widespread-testing and contact-tracing data

    1. Mihaela Curmei
    2. Andrew Ilyas
    3. Owain Evans
    4. Jacob Steinhardt

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Time delay epidemic model for COVID-19

    1. Montri Maleewong

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Comparison of epidemic control strategies using agent-based simulations

    1. Pablo Martínez Ruiz del Árbol
    2. Lara Lloret Iglesias

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Assessment of Small Pulmonary Blood Vessels in COVID-19 Patients Using HRCT

    1. Muriel Lins
    2. Jan Vandevenne
    3. Muhunthan Thillai
    4. Ben R. Lavon
    5. Maarten Lanclus
    6. Stijn Bonte
    7. Rik Godon
    8. Irvin Kendall
    9. Jan De Backer
    10. Wilfried De Backer

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Identification of severity zones for mitigation strategy assessment COVID-19 outbreak in Malaysia

    1. Tahir Ahmad
    2. Azmirul Ashaari
    3. Siti Rahmah Awang
    4. Siti Salwana Mamat
    5. Wan Munirah Wan Mohamad
    6. Amirul Aizad Ahmad Fuad
    7. Nurfarhana Hassan

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. COVID-19 in Bangladesh: measuring differences in individual precautionary behaviors among young adults

    1. Asif Imtiaz
    2. Noor Muhammad Khan
    3. Md. Akram Hossain

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
Newer Page 158 of 2361 Older