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. Autumn COVID-19 surge dates in Europe correlated to latitudes, not to temperature-humidity, pointing to vitamin D as contributing factor

    1. Stephan Walrand

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  2. MACHINE LEARNING PREDICTION FOR COVID 19 PANDEMIC IN INDIA

    1. Roseline Oluwaseun Ogundokun
    2. Joseph Bamidele Awotunde

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Predicting the SARS-CoV-2 effective reproduction number using bulk contact data from mobile phones

    1. Sten Rüdiger
    2. Stefan Konigorski
    3. Alexander Rakowski
    4. Jonathan Antonio Edelman
    5. Detlef Zernick
    6. Alexander Thieme
    7. Christoph Lippert

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Sex-specificity of mortality risk factors among hospitalized COVID-19 patients in New York City: prospective cohort study

    1. Tomi Jun
    2. Sharon Nirenberg
    3. Patricia Kovatch
    4. Kuan-lin Huang

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. The Rapid Deployment of a 3D Printed “Latticed” Nasopharyngeal Swab for COVID-19 Testing Made Using Digital Light Synthesis

    1. Ian Bennett
    2. Philip L. Bulterys
    3. Melody Chang
    4. Joseph M. DeSimone
    5. Jennifer Fralick
    6. Marie Herring
    7. Hardik Kabaria
    8. Christina S. Kong
    9. Blane Larson
    10. Owen Lu
    11. Arielle Maxner
    12. Elle Meyer
    13. Shawn Patterson
    14. Steven Pollack
    15. Jason Rolland
    16. Steven Schmidt
    17. Sridhar Seshadri
    18. Keshav Swarup
    19. Chelsey Thomas
    20. Ryan Van Wert

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Data driven high resolution modeling and spatial analyses of the COVID-19 pandemic in Germany

    1. Lennart Schüler
    2. Justin M. Calabrese
    3. Sabine Attinger

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. I'm alone but not lonely. U-shaped pattern of self-perceived loneliness during the COVID-19 pandemic in the UK and Greece

    1. Alessandro Carollo
    2. Andrea Bizzego
    3. Giulio Gabrieli
    4. Keri Ka-Yee Wong
    5. Adrian Raine
    6. Gianluca Esposito

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Public Search Interests Related to COVID-19: Insights from Google Search Trends in Bangladesh

    1. M. Ahamad
    2. M. Ahmed
    3. D. Uden

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Impact of COVID-19: Decrease in the Number of Fledging Barn Swallow Chicks in Tokyo

    1. Takuma Hayashi
    2. Nobuo Yaegashi
    3. Ikuo Konishi

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Anxiety and perceived risk during COVID-19 outbreak

    1. Chetna Malhotra
    2. Isha Chaudhry
    3. Semra Ozdemir
    4. Irene Teo
    5. Eric Andrew Finkelstein

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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