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. SimCOVID: Open-Source Simulation Programs for the COVID-19 Outbreak

    1. Ismael Abdulrahman

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Risk Analysis and Prediction for COVID19 Demographics in Low Resource Settings using a Python Desktop App and Excel Models

    1. Ali Kyagulanyi
    2. Joel Tibabwetiza Muhanguzi
    3. Dembe Oscar

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. A blueprint for the implementation of a validated approach for the detection of SARS-Cov2 in clinical samples in academic facilities

    1. Sushmita Sridhar
    2. Sally Forrest
    3. Iain Kean
    4. Jamie Young
    5. Josefin Bartholdson Scott
    6. Mailis Maes
    7. Joana Pereira-Dias
    8. Surendra Parmar
    9. Matthew Routledge
    10. Lucy Rivett
    11. Gordon Dougan
    12. Michael Weekes
    13. Martin Curran
    14. Ian Goodfellow
    15. Stephen Baker

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Longitudinal Development of Antibody Responses in COVID-19 Patients of Different Severity with ELISA, Peptide, and Glycan Arrays: An Immunological Case Series

    1. Jasmin Heidepriem
    2. Christine Dahlke
    3. Robin Kobbe
    4. René Santer
    5. Till Koch
    6. Anahita Fathi
    7. Bruna Seco
    8. My Ly
    9. Stefan Schmiedel
    10. Dorothee Schwinge
    11. Sonia Serna
    12. Katrin Sellrie
    13. Niels-Christian Reichardt
    14. Peter Seeberger
    15. Marylyn Addo
    16. Felix Loeffler
    17. on behalf of the ID-UKE COVID-19 Study Group

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Impact of Population Mask Wearing on COVID-19 Post Lockdown

    1. Babak Javid
    2. Nathalie Q. Balaban

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Estimating the Final Epidemic Size for COVID-19 Outbreak using Improved Epidemiological Models

    1. Rajesh Ranjan

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Epidemiological characteristics of an outbreak of Coronavirus Disease 2019 in the Philippines

    1. Mark M. Alipio
    2. Joseph Dave M. Pregoner

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Further analysis of the impact of distancing upon the COVID-19 pandemic

    1. Daniel J. Bernstein

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Characteristics and outcomes of a cohort of COVID-19 patients in the Province of Reggio Emilia, Italy

    1. Paolo Giorgi Rossi
    2. Massimiliano Marino
    3. Debora Formisano
    4. Francesco Venturelli
    5. Massimo Vicentini
    6. Roberto Grilli
    7. the Reggio Emilia COVID-19 Working Group

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Identifying common pharmacotherapies associated with reduced COVID-19 morbidity using electronic health records

    1. Victor M Castro
    2. Rachel A Ross
    3. Sean M McBride
    4. Roy H Perlis

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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