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. Evidence of the effectiveness of travel-related measures during the early phase of the COVID-19 pandemic: a rapid systematic review

    1. Karen Ann Grépin
    2. Tsi-Lok Ho
    3. Zhihan Liu
    4. Summer Marion
    5. Julianne Piper
    6. Catherine Z Worsnop
    7. Kelley Lee

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Modelling the impact of travel restrictions on COVID-19 cases in Newfoundland and Labrador

    1. Amy Hurford
    2. Proton Rahman
    3. J. Concepción Loredo-Osti

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Determinants of SARS-CoV-2 transmission to guide vaccination strategy in an urban area

    1. Sarah C Brüningk
    2. Juliane Klatt
    3. Madlen Stange
    4. Alfredo Mari
    5. Myrta Brunner
    6. Tim-Christoph Roloff
    7. Helena M B Seth-Smith
    8. Michael Schweitzer
    9. Karoline Leuzinger
    10. Kirstine K Søgaard
    11. Diana Albertos Torres
    12. Alexander Gensch
    13. Ann-Kathrin Schlotterbeck
    14. Christian H Nickel
    15. Nicole Ritz
    16. Ulrich Heininger
    17. Julia Bielicki
    18. Katharina Rentsch
    19. Simon Fuchs
    20. Roland Bingisser
    21. Martin Siegemund
    22. Hans Pargger
    23. Diana Ciardo
    24. Olivier Dubuis
    25. Andreas Buser
    26. Sarah Tschudin-Sutter
    27. Manuel Battegay
    28. Rita Schneider-Sliwa
    29. Karsten M Borgwardt
    30. Hans H Hirsch
    31. Adrian Egli

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Predicting COVID19 Critical Care Beds - The London North-West University Healthcare Trust Experience

    1. J.A Naude
    2. M. Taniparthi
    3. K. Adams
    4. J. Biggin-Lamming
    5. R. Elias
    6. P. Milner
    7. I. Mohammed
    8. M. Towers
    9. M. Kuper

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Using an Ecological and Biological Framing for an Anti-racist Covid-19 Approach

    1. Araceli Camargo
    2. Elahi Hossain
    3. Sarah Aliko
    4. Daniel Akinola-Odusola
    5. Josh Artus
    6. Ilan Kelman

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Epidemiological characteristics of COVID-19 cases in non-Italian nationals notified to the Italian surveillance system

    1. Massimo Fabiani
    2. Alberto Mateo-Urdiales
    3. Xanthi Andrianou
    4. Antonino Bella
    5. Martina Del Manso
    6. Stefania Bellino
    7. Maria C Rota
    8. Stefano Boros
    9. Maria F Vescio
    10. Fortunato P D'Ancona
    11. Andrea Siddu
    12. Ornella Punzo
    13. Antonietta Filia
    14. Silvio Brusaferro
    15. Giovanni Rezza
    16. Maria G Dente
    17. Silvia Declich
    18. Patrizio Pezzotti
    19. Flavia Riccardo
    20. for the COVID-19 Working Group

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Modeling Contact Tracing Strategies for COVID-19 in the Context of Relaxed Physical Distancing Measures

    1. Alyssa Bilinski
    2. Farzad Mostashari
    3. Joshua A. Salomon

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Corticosteroid Use in Severely Hypoxemic COVID-19 Patients: An Observational Cohort Analysis of Dosing Patterns and Outcomes in the Early Phase of the Pandemic

    1. Omar Rahman
    2. Russell A. Trigonis
    3. Mitchell K. Craft
    4. Rachel M. Kruer
    5. Emily M. Miller
    6. Colin L. Terry
    7. Sarah A. Persaud
    8. Rajat Kapoor

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  9. Mining Twitter Data on COVID-19 for Sentiment analysis and frequent patterns Discovery

    1. Habiba H. Drias
    2. Yassine Drias

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. End-to-End Protocol for the Detection of SARS-CoV-2 from Built Environments

    1. Ceth W. Parker
    2. Nitin Singh
    3. Scott Tighe
    4. Adriana Blachowicz
    5. Jason M. Wood
    6. Arman Seuylemezian
    7. Parag Vaishampayan
    8. Camilla Urbaniak
    9. Ryan Hendrickson
    10. Pheobe Laaguiby
    11. Kevin Clark
    12. Brian G. Clement
    13. Niamh B. O’Hara
    14. Mara Couto-Rodriguez
    15. Daniela Bezdan
    16. Christopher E. Mason
    17. Kasthuri Venkateswaran

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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