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. Identification of potential biomarkers and inhibitors for SARS-CoV-2 infection

    1. Hanming Gu
    2. Gongsheng Yuan

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Knowledge, attitudes, and practices of the general population about Coronavirus disease 2019 (COVID-19): a systematic review and meta-analysis with policy recommendations

    1. S. Saadatjoo
    2. M. Miri
    3. S. Hassanipour
    4. H. Ameri
    5. M. Arab-Zozani

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Multi-organ impairment in low-risk individuals with long COVID

    1. Andrea Dennis
    2. Malgorzata Wamil
    3. Sandeep Kapur
    4. Johann Alberts
    5. Andrew D. Badley
    6. Gustav Anton Decker
    7. Stacey A Rizza
    8. Rajarshi Banerjee
    9. Amitava Banerjee

    Reviewed by ScreenIT, NCRC

    2 evaluationsAppears in 2 listsLatest version Latest activity

  4. Comparison and analysis of various complementary diagnosis methods for the current situation and problems of COVID-19 diagnosis

    1. Hee Jin Huh
    2. Seok Lae Chae
    3. Dong-Min Kim

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. To quarantine, or not to quarantine: A theoretical framework for disease control via contact tracing

    1. Davin Lunz
    2. Gregory Batt
    3. Jakob Ruess

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Age profile of susceptibility, mixing, and social distancing shape the dynamics of the novel coronavirus disease 2019 outbreak in China

    1. Juanjuan Zhang
    2. Maria Litvinova
    3. Yuxia Liang
    4. Yan Wang
    5. Wei Wang
    6. Shanlu Zhao
    7. Qianhui Wu
    8. Stefano Merler
    9. Cecile Viboud
    10. Alessandro Vespignani
    11. Marco Ajelli
    12. Hongjie Yu

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Ascertaining the initiation of epidemic resurgences: an application to the COVID-19 second surges in Europe and the Northeast United States

    1. Jose M. G. Vilar
    2. Leonor Saiz

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Escape of SARS-CoV-2 501Y.V2 from neutralization by convalescent plasma

    1. Network for Genomic Surveillance in South Africa
    2. COMMIT-KZN Team
    3. Sandile Cele
    4. Inbal Gazy
    5. Laurelle Jackson
    6. Shi-Hsia Hwa
    7. Houriiyah Tegally
    8. Gila Lustig
    9. Jennifer Giandhari
    10. Sureshnee Pillay
    11. Eduan Wilkinson
    12. Yeshnee Naidoo
    13. Farina Karim
    14. Yashica Ganga
    15. Khadija Khan
    16. Mallory Bernstein
    17. Alejandro B. Balazs
    18. Bernadett I. Gosnell
    19. Willem Hanekom
    20. Mahomed-Yunus S. Moosa
    21. Richard J. Lessells
    22. Tulio de Oliveira
    23. Alex Sigal

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. The First Three Months of COVID-19: Epidemiological Evidence for Two SARS-CoV-2 Strains Spreading and Implications for Prevention Strategies

    1. Knut M Wittkowski

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  10. A benchmarking study of SARS-CoV-2 whole-genome sequencing protocols using COVID-19 patient samples

    1. Tiantian Liu
    2. Zhong Chen
    3. Wanqiu Chen
    4. Xin Chen
    5. Maryam Hosseini
    6. Zhaowei Yang
    7. Jing Li
    8. Diana Ho
    9. David Turay
    10. Ciprian P. Gheorghe
    11. Wendell Jones
    12. Charles Wang

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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