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. Predicting COVID-19 cases with unknown homogeneous or heterogeneous resistance to infectivity

    1. Ramalingam Shanmugam
    2. Gerald Ledlow
    3. Karan P. Singh

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Better Strategies for Containing COVID-19 Epidemics–A Study of 25 Countries via an Extended SEIR Model

    1. Jia Gu
    2. Han Yan
    3. Yaxuan Huang
    4. Yuru Zhu
    5. Haoxuan Sun
    6. Xinyu Zhang
    7. Yuqing Wang
    8. Yumou Qiu
    9. Song Xi Chen

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Reducing COVID-19 risk in schools: a qualitative examination of secondary school staff and family views and concerns in the South West of England

    1. Ava Lorenc
    2. Joanna May Kesten
    3. Judi Kidger
    4. Rebecca Langford
    5. Jeremy Horwood

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. SARS-CoV-2 specific antibody and neutralization assays reveal the wide range of the humoral immune response to virus

    1. Mikail Dogan
    2. Lina Kozhaya
    3. Lindsey Placek
    4. Courtney Gunter
    5. Mesut Yigit
    6. Rachel Hardy
    7. Matthew Plassmeyer
    8. Paige Coatney
    9. Kimberleigh Lillard
    10. Zaheer Bukhari
    11. Michael Kleinberg
    12. Chelsea Hayes
    13. Moshe Arditi
    14. Ellen Klapper
    15. Noah Merin
    16. Bruce Tsan-Tang Liang
    17. Raavi Gupta
    18. Oral Alpan
    19. Derya Unutmaz

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  5. Automated molecular testing of saliva for SARS-CoV-2 detection

    1. Nancy Matic
    2. Tanya Lawson
    3. Gordon Ritchie
    4. Aleksandra Stefanovic
    5. Victor Leung
    6. Sylvie Champagne
    7. Marc G. Romney
    8. Christopher F. Lowe

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Validation and implementation of a direct RT-qPCR method for rapid screening of SARS-CoV-2 infection by using non-invasive saliva samples

    1. Pedro Brotons
    2. Amaresh Perez-Argüello
    3. Cristian Launes
    4. Francesc Torrents
    5. Maria Pilar Subirats
    6. Jesica Saucedo
    7. Joana Claverol
    8. Juan Jose Garcia-Garcia
    9. Gil Rodas
    10. Vicky Fumado
    11. Iolanda Jordan
    12. Eduard Gratacos
    13. Quique Bassat
    14. Carmen Muñoz-Almagro

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Low-cost enhancement of facial mask filtration to prevent transmission of COVID-19

    1. Hari Bhimaraju
    2. Nitish Nag
    3. Ramesh Jain

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Clinico-epidemiological characteristics of asymptomatic and symptomatic COVID-19-positive patients in Bangladesh

    1. Mohammad Jahid Hasan
    2. Sayeda Mukta Chowdhury
    3. Md. Abdullah Saeed Khan
    4. Monjur Rahaman
    5. Jannatul Fardous
    6. Tanjir Adit
    7. Mustafizur Rahman
    8. Md. Tarek Hossain
    9. Shakila Yesmin
    10. Enayetur Raheem
    11. Mohammad Robed Amin

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Temporary Immunity and Multiple Waves of COVID-19

    1. B Shayak
    2. Mohit M Sharma
    3. Anoop Misra

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. The effects of COVID-19 victimization distress and racial bias on mental health among AIAN, Asian, Black, and Latinx young adults.

    1. Celia B. Fisher
    2. Xiangyu Tao
    3. Tiffany Yip

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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