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. Seroprevalence of antibodies to SARS-CoV-2 in healthcare workers: a cross-sectional study

    1. Joseph E Ebinger
    2. Gregory J Botwin
    3. Christine M Albert
    4. Mona Alotaibi
    5. Moshe Arditi
    6. Anders H Berg
    7. Aleksandra Binek
    8. Patrick Botting
    9. Justyna Fert-Bober
    10. Jane C Figueiredo
    11. Jonathan D Grein
    12. Wohaib Hasan
    13. Mir Henglin
    14. Shehnaz K Hussain
    15. Mohit Jain
    16. Sandy Joung
    17. Michael Karin
    18. Elizabeth H Kim
    19. Dalin Li
    20. Yunxian Liu
    21. Eric Luong
    22. Dermot P B McGovern
    23. Akil Merchant
    24. Noah Merin
    25. Peggy B Miles
    26. Margo Minissian
    27. Trevor Trung Nguyen
    28. Koen Raedschelders
    29. Mohamad A Rashid
    30. Celine E Riera
    31. Richard V Riggs
    32. Sonia Sharma
    33. Sarah Sternbach
    34. Nancy Sun
    35. Warren G Tourtellotte
    36. Jennifer E Van Eyk
    37. Kimia Sobhani
    38. Jonathan G Braun
    39. Susan Cheng

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. An agent-based model of spread of a pandemic with validation using COVID-19 data from New York State

    1. Amitava Datta
    2. Peter Winkelstein
    3. Surajit Sen

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. A Heuristic Model for Spreading of COVID 19 in Singapore

    1. Fook Hou Lee

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Vinegar and its active component acetic acid inhibit SARS-CoV-2 infection in vitro and ex vivo

    1. Isabel Pagani
    2. Silvia Ghezzi
    3. Massimo Clementi
    4. Guido Poli
    5. Mario Bussi
    6. Luca Pianta
    7. Matteo Trimarchi
    8. Elisa Vicenzi

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. COVID-19 Medical Vulnerability Indicators: A Predictive, Local Data Model for Equity in Public Health Decision Making

    1. Paul M. Ong
    2. Chhandara Pech
    3. Nataly Rios Gutierrez
    4. Vickie M. Mays

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Correlation of SARS-CoV-2 Nucleocapsid Antigen and RNA Concentrations in Nasopharyngeal Samples from Children and Adults Using an Ultrasensitive and Quantitative Antigen Assay

    1. Nira R. Pollock
    2. Timothy J. Savage
    3. Hanna Wardell
    4. Rose A. Lee
    5. Anu Mathew
    6. Martin Stengelin
    7. George B. Sigal

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Hospitalisations for emergency-sensitive conditions in Germany during the COVID-19 pandemic: insights from the German-wide Helios hospital network

    1. Andreas Bollmann
    2. Sven Hohenstein
    3. Vincent Pellissier
    4. Sebastian König
    5. Laura Ueberham
    6. Gerhard Hindricks
    7. Andreas Meier-Hellmann
    8. Ralf Kuhlen

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. SARS-CoV-2 Causes Severe Epithelial Inflammation and Barrier Dysfunction

    1. Stefanie Deinhardt-Emmer
    2. Sarah Böttcher
    3. Clio Häring
    4. Liane Giebeler
    5. Andreas Henke
    6. Roland Zell
    7. Johannes Jungwirth
    8. Paul M. Jordan
    9. Oliver Werz
    10. Franziska Hornung
    11. Christian Brandt
    12. Mike Marquet
    13. Alexander S. Mosig
    14. Mathias W. Pletz
    15. Michael Schacke
    16. Jürgen Rödel
    17. Regine Heller
    18. Sandor Nietzsche
    19. Bettina Löffler
    20. Christina Ehrhardt

    Reviewed by ScreenIT

    1 evaluationAppears in 2 listsLatest version Latest activity

  9. Laboratory-Developed Test for SARS-CoV-2 Using Saliva Samples at the University of California, Riverside

    1. Rong Hai
    2. Matthew Collin
    3. Sophia Tsau
    4. Daniel Raygoza
    5. Juliet Morrison
    6. Alexander J. Carrillo
    7. Logan A. Collier
    8. Walter Bayubay
    9. Kenneth Han
    10. Isgouhi Kaloshian
    11. Katherine A. Borkovich

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Mass molecular testing for COVID19 using NGS-based technology and a highly scalable workflow

    1. Fernanda de Mello Malta
    2. Deyvid Amgarten
    3. Felipe Camilo Val
    4. Murilo Castro Cervato
    5. Bruna Mascaro Cordeiro de Azevedo
    6. Marcela de Souza Basqueira
    7. Camila Oliveira dos Santos Alves
    8. Maria Soares Nobrega
    9. Rodrigo de Souza Reis
    10. Pedro Sebe
    11. Michel Chieregato Gretschischkin
    12. Diego Delgado Colombo de Oliveira
    13. Carolina Naomi Izo Nakamura
    14. Pedro Lui Nigro Chazanas
    15. João Renato Rebello Pinho

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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