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. Continuing inequalities in COVID-19 mortality in England and Wales, and the changing importance of regional, over local, deprivation

    1. Gareth J. Griffith
    2. Gwilym Owen
    3. David Manley
    4. Laura D. Howe
    5. George Davey Smith

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Calprotectin and Imbalances between Acute-Phase Mediators Are Associated with Critical Illness in COVID-19

    1. Georgios Kassianidis
    2. Athanasios Siampanos
    3. Garyphalia Poulakou
    4. George Adamis
    5. Aggeliki Rapti
    6. Haralampos Milionis
    7. George N. Dalekos
    8. Vasileios Petrakis
    9. Styliani Sympardi
    10. Symeon Metallidis
    11. Zoi Alexiou
    12. Theologia Gkavogianni
    13. Evangelos J. Giamarellos-Bourboulis
    14. Theoharis C. Theoharides

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Tracking the progressive spread of the SARS-CoV-2 Omicron variant in Italy, December 2021 to January 2022

    1. Paola Stefanelli
    2. Filippo Trentini
    3. Daniele Petrone
    4. Alessia Mammone
    5. Luigina Ambrosio
    6. Mattia Manica
    7. Giorgio Guzzetta
    8. Valeria d'Andrea
    9. Valentina Marziano
    10. Agnese Zardini
    11. Carla Molina Grane’
    12. Marco Ajelli
    13. Angela Di Martino
    14. Flavia Riccardo
    15. Antonino Bella
    16. Monica Sane Schepisi
    17. Francesco Maraglino
    18. Piero Poletti
    19. Anna Teresa Palamara
    20. Silvio Brusaferro
    21. Giovanni Rezza
    22. Patrizio Pezzotti
    23. Stefano Merler
    24. the Genomic SARS–CoV–2 National Surveillance Working Group
    25. the Italian Integrated Surveillance of COVID–19 Study Group

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. BA.1, BA.2 and BA.2.75 variants show comparable replication kinetics, reduced impact on epithelial barrier and elicit cross-neutralizing antibodies

    1. Janmejay Singh
    2. Anbalagan Anantharaj
    3. Aleksha Panwar
    4. Chitra Rani
    5. Monika Bhardwaj
    6. Parveen Kumar
    7. Partha Chattopadhyay
    8. Priti Devi
    9. Ranjeet Maurya
    10. Pallavi Mishra
    11. Anil Kumar Pandey
    12. Rajesh Pandey
    13. Guruprasad R. Medigeshi

    Reviewed by Review Commons, ScreenIT

    4 evaluationsAppears in 2 listsLatest version Latest activity

  5. A mixed methods analysis of participation in a social contact survey

    1. Emily Nixon
    2. Taru Silvonen
    3. Antoine Barreaux
    4. Rachel Kwiatkowska
    5. Adam Trickey
    6. Amy Thomas
    7. Becky Ali
    8. Georgia Treneman-Evans
    9. Hannah Christensen
    10. Ellen Brooks-Pollock
    11. Sarah Denford

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. COVID-19 self-testing in Nigeria: Stakeholders’ opinions and perspectives on its value for case detection

    1. Veronica A. Undelikwo
    2. Sonjelle Shilton
    3. Morenike Oluwatoyin Folayan
    4. Oluwatoyin Alaba
    5. Elena Ivanova Reipold
    6. Guillermo Z. Martínez-Pérez

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Outbreak.info genomic reports: scalable and dynamic surveillance of SARS-CoV-2 variants and mutations

    1. Karthik Gangavarapu
    2. Alaa Abdel Latif
    3. Julia L. Mullen
    4. Manar Alkuzweny
    5. Emory Hufbauer
    6. Ginger Tsueng
    7. Emily Haag
    8. Mark Zeller
    9. Christine M. Aceves
    10. Karina Zaiets
    11. Marco Cano
    12. Xinghua Zhou
    13. Zhongchao Qian
    14. Rachel Sattler
    15. Nathaniel L. Matteson
    16. Joshua I. Levy
    17. Raphael T. C. Lee
    18. Lucas Freitas
    19. Sebastian Maurer-Stroh
    20. GISAID Core and Curation Team
    21. Marc A. Suchard
    22. Chunlei Wu
    23. Andrew I. Su
    24. Kristian G. Andersen
    25. Laura D. Hughes

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Wastewater-Based Epidemiology for COVID-19: Handling qPCR Nondetects and Comparing Spatially Granular Wastewater and Clinical Data Trends

    1. Hannah Safford
    2. Rogelio E. Zuniga-Montanez
    3. Minji Kim
    4. Xiaoliu Wu
    5. Lifeng Wei
    6. James Sharpnack
    7. Karen Shapiro
    8. Heather N. Bischel

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. A Machine Learning Approach to Differentiate Between COVID-19 and Influenza Infection Using Synthetic Infection and Immune Response Data

    1. Suzan Farhang-Sardroodi
    2. Mohammad Sajjad Ghaemi
    3. Morgan Craig
    4. Hsu Kiang Ooi
    5. Jane M Heffernan

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Comparative effectiveness and durability of COVID‐19 vaccination against death and severe disease in an ongoing nationwide mass vaccination campaign

    1. Theodore Lytras
    2. Flora Kontopidou
    3. Angeliki Lambrou
    4. Sotirios Tsiodras

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
Newer Page 659 of 2361 Older