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. Synchronization in epidemic growth and the impossibility of selective containment

    1. Jan C Budich
    2. Emil J Bergholtz

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  2. Modeling COVID-19 Latent Prevalence to Assess a Public Health Intervention at a State and Regional Scale: Retrospective Cohort Study

    1. Philip J Turk
    2. Shih-Hsiung Chou
    3. Marc A Kowalkowski
    4. Pooja P Palmer
    5. Jennifer S Priem
    6. Melanie D Spencer
    7. Yhenneko J Taylor
    8. Andrew D McWilliams

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. SARS-CoV-2 shifting transmission dynamics and hidden reservoirs potentially limit efficacy of public health interventions in Italy

    1. Marta Giovanetti
    2. Eleonora Cella
    3. Francesca Benedetti
    4. Brittany Rife Magalis
    5. Vagner Fonseca
    6. Silvia Fabris
    7. Giovanni Campisi
    8. Alessandra Ciccozzi
    9. Silvia Angeletti
    10. Alessandra Borsetti
    11. Vittoradolfo Tambone
    12. Caterina Sagnelli
    13. Stefano Pascarella
    14. Alberto Riva
    15. Giancarlo Ceccarelli
    16. Alessandro Marcello
    17. Taj Azarian
    18. Eduan Wilkinson
    19. Tulio de Oliveira
    20. Luiz Carlos Junior Alcantara
    21. Roberto Cauda
    22. Arnaldo Caruso
    23. Natalie E. Dean
    24. Cameron Browne
    25. Jose Lourenco
    26. Marco Salemi
    27. Davide Zella
    28. Massimo Ciccozzi

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Chest CT versus RT-PCR for the detection of COVID-19: systematic review and meta-analysis of comparative studies

    1. Mohammad Karam
    2. Sulaiman Althuwaikh
    3. Mohammad Alazemi
    4. Ahmad Abul
    5. Amrit Hayre
    6. Abdulmalik Alsaif
    7. Gavin Barlow

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Symptom clusters in COVID-19: A potential clinical prediction tool from the COVID Symptom Study app

    1. Carole H. Sudre
    2. Karla A. Lee
    3. Mary Ni Lochlainn
    4. Thomas Varsavsky
    5. Benjamin Murray
    6. Mark S. Graham
    7. Cristina Menni
    8. Marc Modat
    9. Ruth C. E. Bowyer
    10. Long H. Nguyen
    11. David A. Drew
    12. Amit D. Joshi
    13. Wenjie Ma
    14. Chuan-Guo Guo
    15. Chun-Han Lo
    16. Sajaysurya Ganesh
    17. Abubakar Buwe
    18. Joan Capdevila Pujol
    19. Julien Lavigne du Cadet
    20. Alessia Visconti
    21. Maxim B. Freidin
    22. Julia S. El-Sayed Moustafa
    23. Mario Falchi
    24. Richard Davies
    25. Maria F. Gomez
    26. Tove Fall
    27. M. Jorge Cardoso
    28. Jonathan Wolf
    29. Paul W. Franks
    30. Andrew T. Chan
    31. Tim D. Spector
    32. Claire J. Steves
    33. Sébastien Ourselin

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Anti-SARS-CoV-2 Activity of Andrographis paniculata Extract and Its Major Component Andrographolide in Human Lung Epithelial Cells and Cytotoxicity Evaluation in Major Organ Cell Representatives

    1. Khanit Sa-ngiamsuntorn
    2. Ampa Suksatu
    3. Yongyut Pewkliang
    4. Piyanoot Thongsri
    5. Phongthon Kanjanasirirat
    6. Suwimon Manopwisedjaroen
    7. Sitthivut Charoensutthivarakul
    8. Patompon Wongtrakoongate
    9. Supaporn Pitiporn
    10. Jarinya Chaopreecha
    11. Supasek Kongsomros
    12. Kedchin Jearawuttanakul
    13. Warawuth Wannalo
    14. Phisit Khemawoot
    15. Somchai Chutipongtanate
    16. Suparerk Borwornpinyo
    17. Arunee Thitithanyanont
    18. Suradej Hongeng

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Estimating the size of COVID-19 epidemic outbreak

    1. Chakrit Pongkitivanichkul
    2. Daris Samart
    3. Takol Tangphati
    4. Phanit Koomhin
    5. Pimchanok Pimton
    6. Punsiri Dam-O
    7. Apirak Payaka
    8. Phongpichit Channuie

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Rapid Detection of SARS-CoV-2 Antibodies Using Electrochemical Impedance-Based Detector

    1. Mohamed Z. Rashed
    2. Jonathan A. Kopechek
    3. Mariah C. Priddy
    4. Krystal T. Hamorsky
    5. Kenneth E. Palmer
    6. Nikhil Mittal
    7. Joseph Valdez
    8. Joseph Flynn
    9. Stuart J. Williams

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. 3D CNN classification model for accurate diagnosis of coronavirus disease 2019 using computed tomography images

    1. Yandong Guo
    2. Lifan Yi
    3. Xuan Pei

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Covid19data.website

    1. Dhafer Malouche

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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