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. Universal scaling law for COVID-19 propagation in urban centers

    1. Ben-Hur Francisco Cardoso
    2. Sebastián Gonçalves

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Projecting the spread of COVID-19 for Germany

    1. Jean Roch Donsimoni
    2. René Glawion
    3. Bodo Plachter
    4. Klaus Wälde

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  3. Development and validation of automated computer-aided risk scores to predict in-hospital mortality for emergency medical admissions with COVID-19: a retrospective cohort development and validation study

    1. Muhammad Faisal
    2. Mohammed Mohammed
    3. Donald Richardson
    4. Massimo Fiori
    5. Kevin Beatson

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. COVID-19 and excess mortality in the United States: A county-level analysis

    1. Andrew C. Stokes
    2. Dielle J. Lundberg
    3. Irma T. Elo
    4. Katherine Hempstead
    5. Jacob Bor
    6. Samuel H. Preston

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Risk for Fomite-Mediated Transmission of SARS-CoV-2 in Child Daycares, Schools, Nursing Homes, and Offices

    1. Alicia N.M. Kraay
    2. Michael A.L. Hayashi
    3. David M. Berendes
    4. Julia S. Sobolik
    5. Juan S. Leon
    6. Benjamin A. Lopman

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Trend analysis of the COVID-19 pandemic in China and the rest of the world

    1. Albertine Weber
    2. Flavio Iannelli
    3. Sebastián Gonçalves

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Blood omega-3 fatty acids and death from COVID-19: A pilot study

    1. Arash Asher
    2. Nathan L. Tintle
    3. Michael Myers
    4. Laura Lockshon
    5. Heribert Bacareza
    6. William S. Harris

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  8. Outbreak or pseudo-outbreak? Integrating SARS-CoV-2 sequencing to validate infection control practices in a dialysis facility

    1. Bridget L. Pfaff
    2. Craig S. Richmond
    3. Arick P. Sabin
    4. Deena M. Athas
    5. Jessica C. Adams
    6. Megan E. Meller
    7. Kumari Usha
    8. Sarah A. Schmitz
    9. Brian J. Simmons
    10. Andrew J. Borgert
    11. Paraic A. Kenny

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Engagement and adherence trade-offs for SARS-CoV-2 contact tracing

    1. Tim C. D. Lucas
    2. Emma L. Davis
    3. Diepreye Ayabina
    4. Anna Borlase
    5. Thomas Crellen
    6. Li Pi
    7. Graham F. Medley
    8. Lucy Yardley
    9. Petra Klepac
    10. Julia Gog
    11. T. Déirdre Hollingsworth

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. A Model Describing COVID-19 Community Transmission Taking into Account Asymptomatic Carriers and Risk Mitigation

    1. Jacob B. Aguilar
    2. Jeremy Samuel Faust
    3. Lauren M. Westafer
    4. Juan B. Gutierrez

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity
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