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. Age-dependence of healthcare interventions for COVID-19 in Ontario, Canada

    1. Irena Papst
    2. Michael Li
    3. David Champredon
    4. Benjamin M. Bolker
    5. Jonathan Dushoff
    6. David J. D. Earn

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Probability-Based Estimates of Severe Acute Respiratory Syndrome Coronavirus 2 Seroprevalence and Detection Fraction, Utah, USA

    1. Matthew H. Samore
    2. Adam Looney
    3. Brian Orleans
    4. Tom Greene
    5. Nathan Seegert
    6. Julio C. Delgado
    7. Angela Presson
    8. Chong Zhang
    9. Jian Ying
    10. Yue Zhang
    11. Jincheng Shen
    12. Patricia Slev
    13. Maclean Gaulin
    14. Mu-Jeung Yang
    15. Andrew T. Pavia
    16. Stephen C. Alder

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Exploring the global impact of the COVID-19 pandemic on medical education: an international cross-sectional study of medical learners

    1. Allison Brown
    2. Aliya Kassam
    3. Mike Paget
    4. Kenneth Blades
    5. Megan Mercia
    6. Rahim Kahcra

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Modeling of aerosol transmission of airborne pathogens in ICU rooms of COVID-19 patients with acute respiratory failure

    1. Cyril Crawford
    2. Emmanuel Vanoli
    3. Baptiste Decorde
    4. Maxime Lancelot
    5. Camille Duprat
    6. Christophe Josserand
    7. Jonathan Jilesen
    8. Lila Bouadma
    9. Jean-François Timsit

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Newborn Dried Blood Spots for Serologic Surveys of COVID-19

    1. Feimei Liu
    2. Mytien Nguyen
    3. Pavithra Vijayakumar
    4. Alanna Kaplan
    5. Amit Meir
    6. Yile Dai
    7. Eric Wang
    8. Hannah Walsh
    9. Aaron M. Ring
    10. Saad B. Omer
    11. Shelli F. Farhadian

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Capping Mobility to Control COVID-19: A Collision-based Infectious Disease Transmission Model

    1. Yunfeng Shi
    2. Xuegang Ban

    Reviewed by ScreenIT

    4 evaluationsAppears in 1 listLatest version Latest activity

  7. Use, re-use or discard? Quantitatively defined variance in the functional integrity of N95 respirators following vaporized hydrogen peroxide decontamination during the COVID-19 pandemic

    1. C. Levine
    2. C. Grady
    3. T. Block
    4. H. Hurley
    5. R. Russo
    6. B. Peixoto
    7. A. Frees
    8. A. Ruiz
    9. D. Alland

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. COVID-19 Detection From Chest Radiographs Using Machine Learning and Convolutional Neural Networks

    1. Andrew C. Li
    2. David T. Lee
    3. Kristoff K. Misquitta
    4. Kaiji Uno
    5. Sasha Wald

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Epidemiological changes on the Isle of Wight after the launch of the NHS Test and Trace programme: a preliminary analysis

    1. Michelle Kendall
    2. Luke Milsom
    3. Lucie Abeler-Dörner
    4. Chris Wymant
    5. Luca Ferretti
    6. Mark Briers
    7. Chris Holmes
    8. David Bonsall
    9. Johannes Abeler
    10. Christophe Fraser

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Learning the Mental Health Impact of COVID-19 in the United States With Explainable Artificial Intelligence: Observational Study

    1. Indra Prakash Jha
    2. Raghav Awasthi
    3. Ajit Kumar
    4. Vibhor Kumar
    5. Tavpritesh Sethi

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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