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. Air pollution, SARS-CoV-2 transmission, and COVID-19 outcomes: A state-of-the-science review of a rapidly evolving research area

    1. A Bhaskar
    2. J Chandra
    3. D Braun
    4. J Cellini
    5. F Dominici

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Modeling the Effect of Asymptomatic Cases, Social Distancing, and Lockdowns in the First and Second waves of the COVID-19 Pandemic: A Case Study of Italy

    1. Muhamad Khairulbahri

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Evidence of integrated health service delivery during COVID-19 in low and lower-middle-income countries: protocol for a scoping review

    1. Rachel Neill
    2. Md Zabir Hasan
    3. Priyanka Das
    4. Vasuki Venugopal
    5. Nishant Jain
    6. Dinesh Arora
    7. Shivam Gupta

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Role of spatial patterning of N-protein interactions in SARS-CoV-2 genome packaging

    1. Ian Seim
    2. Christine A. Roden
    3. Amy S. Gladfelter

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Viral genetic sequencing identifies staff transmission of COVID-19 is important in a community hospital outbreak

    1. Jane A.H. Masoli
    2. Aaron Jeffries
    3. Ben Temperton
    4. Cressida Auckland
    5. Michelle Michelsen
    6. Joanna Warwick-Dugdale
    7. Robyn Manley
    8. Audrey Farbos
    9. Sian Ellard
    10. Beatrice Knight
    11. Claire Bewshea
    12. Christine Sambles
    13. James Harrison
    14. Ben Bunce
    15. Alexis Carr
    16. Andrew T. Hattersley
    17. Stephen Ll. Michell
    18. David J. Studholme

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Predicting COVID-19 Severity with a Specific Nucleocapsid Antibody plus Disease Risk Factor Score

    1. Sanjana R. Sen
    2. Emily C. Sanders
    3. Kristin N. Gabriel
    4. Brian M. Miller
    5. Hariny M. Isoda
    6. Gabriela S. Salcedo
    7. Jason E. Garrido
    8. Rebekah P. Dyer
    9. Rie Nakajima
    10. Aarti Jain
    11. Ana-Maria Caldaruse
    12. Alicia M. Santos
    13. Keertna Bhuvan
    14. Delia F. Tifrea
    15. Joni L. Ricks-Oddie
    16. Philip L. Felgner
    17. Robert A. Edwards
    18. Sudipta Majumdar
    19. Gregory A. Weiss

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Searching the Sigmoid-type trend in Lock down Period covid19 Data of India and its Different States

    1. Supriya Mondal Sabyasachi Ghosh

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Immunological imprinting of the antibody response in COVID-19 patients

    1. Teresa Aydillo
    2. Alexander Rombauts
    3. Daniel Stadlbauer
    4. Sadaf Aslam
    5. Gabriela Abelenda-Alonso
    6. Alba Escalera
    7. Fatima Amanat
    8. Kaijun Jiang
    9. Florian Krammer
    10. Jordi Carratala
    11. Adolfo García-Sastre

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. The interplay between subcritical fluctuations and import: understanding COVID-19 epidemiology dynamics

    1. Nico Stollenwerk
    2. Joseba Bidaurrazaga Van-Dierdonck
    3. Javier Mar
    4. Irati Eguiguren Arrizabalaga
    5. Nicole Cusimano
    6. Damián Knopoff
    7. Vizda Anam
    8. Maíra Aguiar

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Honey and Nigella sativa against COVID-19 in Pakistan (HNS-COVID-PK): A multi-center placebo-controlled randomized clinical trial

    1. Sohaib Ashraf
    2. Shoaib Ashraf
    3. Moneeb Ashraf
    4. Muhammad Ahmad Imran
    5. Larab Kalsoom
    6. Uzma Nasim Siddiqui
    7. Iqra Farooq
    8. Zaighum Habib
    9. Sidra Ashraf
    10. Muhammad Ghufran
    11. Muhammad Kiwan Akram
    12. Nighat Majeed
    13. Zain-ul-Abdin
    14. Rutaba Akmal
    15. Sundas Rafique
    16. Khawar Nawaz
    17. Muhammad Ismail K Yousaf
    18. Sohail Ahmad
    19. Muhammad Sarmad Shahab
    20. Muhammad Faisal Nadeem
    21. Muhammad Azam
    22. Hui Zheng
    23. Amber Malik
    24. Mahmood Ayyaz
    25. Talha Mahmud
    26. Qazi Abdul Saboor
    27. Ali Ahmad
    28. Muhammad Ashraf
    29. Mateen Izhar
    30. for the COALITION COVID-19 Shaikh Zayed
    31. Abubakar Hilal
    32. Arz Muhammad
    33. Zeeshan Shaukat
    34. Ayesha Khaqan
    35. Kanwal Hayat
    36. Shahroze Arshad
    37. Muhammad Hassan
    38. Abeer-bin-Awais
    39. Ammara Ahmad
    40. Tayyab Mughal
    41. Abdur Rehman Virk
    42. Muhammad Umer
    43. Muhammad Suhail
    44. Sibgha Zulfiqar
    45. Saulat Sarfraz
    46. Muhammad Imran Anwar
    47. Ayesha Humayun
    48. R A Khokhar
    49. S Siddique

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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