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. SARS-CoV-2 inhibition in human airway epithelial cells using a mucoadhesive, amphiphilic chitosan that may serve as an anti-viral nasal spray

    1. Krzysztof Pyrć
    2. Aleksandra Milewska
    3. Emilia Barreto Duran
    4. Paweł Botwina
    5. Rui Lopes
    6. Alejandro Arenas-Pinto
    7. Moutaz Badr
    8. Ryan Mellor
    9. Tammy L. Kalber
    10. Delmiro Fernandes-Reyes
    11. Andreas G. Schätzlein
    12. Ijeoma F. Uchegbu

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Surface proteins of SARS-CoV-2 drive airway epithelial cells to induce interferon-dependent inflammation

    1. Gautam Anand
    2. Alexandra M. Perry
    3. Celeste L. Cummings
    4. Emma St. Raymond
    5. Regina A. Clemens
    6. Ashley L. Steed

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. A Multi-center Study of COVID-19 with Multivariate Prognostic Analysis

    1. Wen Zeng
    2. Xin Feng
    3. Jie Huang
    4. Chuan Du
    5. Dongming Qu
    6. Xiang Zhang
    7. Jianquan Zhang

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Exhaled CO 2 as a COVID-19 Infection Risk Proxy for Different Indoor Environments and Activities

    1. Zhe Peng
    2. Jose L. Jimenez

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. An integrated framework with machine learning and radiomics for accurate and rapid early diagnosis of COVID-19 from Chest X-ray

    1. Mahbubunnabi Tamal
    2. Maha Alshammari
    3. Meernah Alabdullah
    4. Rana Hourani
    5. Hossain Abu Alola
    6. Tarek M. Hegazi

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. A comprehensive profile of genomic variations in the SARS-CoV-2 isolates from the state of Telangana, India

    1. Asmita Gupta
    2. Radhakrishnan Sabarinathan
    3. Pratyusha Bala
    4. Vinay Donipadi
    5. Divya Vashisht
    6. Madhumohan Rao Katika
    7. Manohar Kandakatla
    8. Debashis Mitra
    9. Ashwin Dalal
    10. Murali Dharan Bashyam

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Databiology Lab CORONAHACK: Collection of Public COVID-19 Data

    1. Juan Caballero Pérez
    2. José Manuel Caballero Contreras
    3. Carlos de Blas Pérez
    4. Felipe Leza Alvarez

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Vitamin D supplementation to prevent acute respiratory infections: a systematic review and meta-analysis of aggregate data from randomised controlled trials

    1. David A Jolliffe
    2. Carlos A Camargo
    3. John D Sluyter
    4. Mary Aglipay
    5. John F Aloia
    6. Davaasambuu Ganmaa
    7. Peter Bergman
    8. Heike A Bischoff-Ferrari
    9. Arturo Borzutzky
    10. Camilla T Damsgaard
    11. Gal Dubnov-Raz
    12. Susanna Esposito
    13. Clare Gilham
    14. Adit A Ginde
    15. Inbal Golan-Tripto
    16. Emma C Goodall
    17. Cameron C Grant
    18. Christopher J Griffiths
    19. Anna Maria Hibbs
    20. Wim Janssens
    21. Anuradha Vaman Khadilkar
    22. Ilkka Laaksi
    23. Margaret T Lee
    24. Mark Loeb
    25. Jonathon L Maguire
    26. Paweł Majak
    27. David T Mauger
    28. Semira Manaseki-Holland
    29. David R Murdoch
    30. Akio Nakashima
    31. Rachel E Neale
    32. Hai Pham
    33. Christine Rake
    34. Judy R Rees
    35. Jenni Rosendahl
    36. Robert Scragg
    37. Dheeraj Shah
    38. Yoshiki Shimizu
    39. Steve Simpson-Yap
    40. Geeta Trilok-Kumar
    41. Mitsuyoshi Urashima
    42. Adrian R Martineau

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  9. Projecting Demand-Supply Gap of Hospital Capacity in India in the face of COVID-19 pandemic using Age-Structured deterministic SEIR model

    1. Veenapani Rajeev Verma
    2. Anuraag Saini
    3. Sumirtha Gandhi
    4. Umakant Dash
    5. Muhammad Shaffi Fazaludeen Koya

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Association between live childhood vaccines and COVID-19 outcomes: a national-level analysis

    1. Chikara Ogimi
    2. Pingping Qu
    3. Michael Boeckh
    4. Rachel A. Bender Ignacio
    5. Sahar Z. Zangeneh

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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