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. Prevalence of Occupation Associated with Increased Mobility During COVID-19 Pandemic

    1. Enbal Shacham
    2. Stephen Scroggins
    3. Matthew Ellis
    4. Alexander Garza

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Evaluation of Facial Protection Against Close-Contact Droplet Transmission

    1. Thomas B. Stephenson
    2. Courtney Cumberland
    3. Geoff Kibble
    4. Christopher Church
    5. Sheila Nogueira-Prewitt
    6. Sebastian MacNamara
    7. Delbert A. Harnish
    8. Brian K. Heimbuch

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. From more testing to smart testing: data-guided SARS-CoV-2 testing choices, the Netherlands, May to September 2020

    1. Janko van Beek
    2. Zsofia Igloi
    3. Timo Boelsums
    4. Ewout Fanoy
    5. Hannelore Gotz
    6. Richard Molenkamp
    7. Jeroen van Kampen
    8. Corine GeurtsvanKessel
    9. Annemiek A van der Eijk
    10. David van de Vijver
    11. Marion Koopmans

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  4. Three dimensions of COVID‐19 risk perceptions and their socioeconomic correlates in the United States: A social media analysis

    1. Shan Qiao
    2. Zhenlong Li
    3. Chen Liang
    4. Xiaoming Li
    5. Caroline Rudisill

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Characterizing the Qatar advanced-phase SARS-CoV-2 epidemic

    1. Laith J. Abu-Raddad
    2. Hiam Chemaitelly
    3. Houssein H. Ayoub
    4. Zaina Al Kanaani
    5. Abdullatif Al Khal
    6. Einas Al Kuwari
    7. Adeel A. Butt
    8. Peter Coyle
    9. Andrew Jeremijenko
    10. Anvar Hassan Kaleeckal
    11. Ali Nizar Latif
    12. Robert C. Owen
    13. Hanan F. Abdul Rahim
    14. Samya A. Al Abdulla
    15. Mohamed G. Al Kuwari
    16. Mujeeb C. Kandy
    17. Hatoun Saeb
    18. Shazia Nadeem N. Ahmed
    19. Hamad Eid Al Romaihi
    20. Devendra Bansal
    21. Louise Dalton
    22. Mohamed H. Al-Thani
    23. Roberto Bertollini

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. The challenges of the coming mass vaccination and exit strategy in prevention and control of COVID-19, a modelling study

    1. Biao Tang
    2. Peiyu Liu
    3. Jie Yang
    4. Jianhong Wu
    5. Xiao Yanni
    6. Sanyi Tang

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. The role of case importation in explaining differences in early SARS-CoV-2 transmission dynamics in Canada—A mathematical modeling study of surveillance data

    1. Arnaud Godin
    2. Yiqing Xia
    3. David L Buckeridge
    4. Sharmistha Mishra
    5. Dirk Douwes-Schultz
    6. Yannan Shen
    7. Maxime Lavigne
    8. Mélanie Drolet
    9. Alexandra M Schmidt
    10. Marc Brisson
    11. Mathieu Maheu-Giroux

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Interobserver Agreement of Lung Ultrasound Findings of COVID ‐19

    1. Andre Kumar
    2. Yingjie Weng
    3. Sally Graglia
    4. Sukyung Chung
    5. Youyou Duanmu
    6. Farhan Lalani
    7. Kavita Gandhi
    8. Viveta Lobo
    9. Trevor Jensen
    10. Jeffrey Nahn
    11. John Kugler

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Clinical and Intestinal Histopathological Findings in SARS-CoV-2/COVID-19 Patients with Hematochezia

    1. Margaret Cho
    2. Weiguo Liu
    3. Sophie Balzora
    4. Yvelisse Suarez
    5. Deepthi Hoskoppal
    6. Neil D. Theise
    7. Wenqing Cao
    8. Suparna A. Sarkar

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Potential impact of individual exposure histories to endemic human coronaviruses on age-dependent severity of COVID-19

    1. Francesco Pinotti
    2. Paul S. Wikramaratna
    3. Uri Obolski
    4. Robert S. Paton
    5. Daniel S. C. Damineli
    6. Luiz C. J. Alcantara
    7. Marta Giovanetti
    8. Sunetra Gupta
    9. José Lourenço

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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