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. Identification and Analysis of Shared Risk Factors in Sepsis and High Mortality Risk COVID-19 Patients

    1. Sayoni Das
    2. Krystyna Taylor
    3. Matthew Pearson
    4. James Kozubek
    5. Marcin Pawlowski
    6. Claus Erik Jensen
    7. Zbigniew Skowron
    8. Gert Lykke Møller
    9. Mark Strivens
    10. Steve Gardner

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Knowledge, Attitude, and Self-Reported Practice Toward Measures for Prevention of the Spread of COVID-19 Among Ugandans: A Nationwide Online Cross-Sectional Survey

    1. Robinson Ssebuufu
    2. Franck Katembo Sikakulya
    3. Simon Binezero Mambo
    4. Lucien Wasingya
    5. Sifa K. Nganza
    6. Bwaga Ibrahim
    7. Patrick Kyamanywa

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. On the impact of early non-pharmaceutical interventions as containment strategies against the COVID-19 pandemic

    1. Andrés Hernández
    2. Esteban Correa-Agudelo
    3. Hana Kim
    4. Adam J. Branscum
    5. F. DeWolfe Miller
    6. Neil MacKinnon
    7. Diego F. Cuadros

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Anxiety and Depression in Health Workers and General Population During COVID‐19 in IRAN: A Cross‐Sectional Study

    1. Leila Hassannia
    2. Fatemeh Taghizadeh
    3. Mahmood Moosazadeh
    4. Mehran Zarghami
    5. Hassan Taghizadeh
    6. Azadeh Fathi Dooki
    7. Mohammad Fathi
    8. Reza Alizadeh‐Navaei
    9. Akbar Hedayatizadeh‐Omran
    10. Niloufar Dehghan

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Effects of home confinement on mental health and lifestyle behaviours during the COVID-19 outbreak: Insight from the ECLB-COVID19 multicenter study

    1. Achraf Ammar
    2. Khaled Trabelsi
    3. Michael Brach
    4. Hamdi Chtourou
    5. Omar Boukhris
    6. Liwa Masmoudi
    7. Bassem Bouaziz
    8. Ellen Bentlage
    9. Daniella How
    10. Mona Ahmed
    11. Patrick Mueller
    12. Notger Mueller
    13. Omar Hammouda
    14. Laisa Paineiras-Domingos
    15. Annemarie Braakman-jansen
    16. Christian Wrede
    17. Sophia Bastoni
    18. Carlos Pernambuco
    19. Leonardo Mataruna
    20. Morteza Taheri
    21. Khadijeh Irandoust
    22. Aïmen Khacharem
    23. Nicola Bragazzi
    24. Jana Strahler
    25. Jad Adrian
    26. Albina Andreeva
    27. Jordan Glenn
    28. Nicholas Bott
    29. Faiez Gargouri
    30. Lotfi Chaari
    31. Hadj Batatia
    32. Samira khoshnami
    33. Evangelia Samara
    34. Vasiliki Zisi
    35. Parasanth Sankar
    36. Waseem Ahmed
    37. Gamal Ali
    38. Osama Abdelkarim
    39. Mohamed Jarraya
    40. Kais Abed
    41. Wassim Moalla
    42. Mohamed Romdhani
    43. Asma Aloui
    44. Nizar Souissi
    45. Lisette GemertPijnen
    46. Bryan Riemann
    47. Laurel Riemann
    48. Jan Delhey
    49. Jonathan Gómez-Raja
    50. Monique Epstein
    51. Robbert Sanderman
    52. Sebastian Schulz
    53. Achim Jerg
    54. Ramzi Al-Horani
    55. Taysir Mansi
    56. Mohamed Jmail
    57. Fernando Barbosa
    58. Fernando Ferreira-Santos
    59. Boštjan Šimunič
    60. Rado Pišot
    61. Saša Pišot
    62. Andrea Gaggioli
    63. Piotr Zmijewski
    64. Stephen Bailey
    65. Jürgen Steinacker
    66. Karim Chamari
    67. Tarak Driss
    68. Anita Hoekelmann

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  6. Containing Covid-19 outbreaks with spatially targeted short-term lockdowns and mass-testing

    1. Justin Alsing
    2. Naïri Usher
    3. Philip JD Crowley

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. A Divide and Conquer Strategy against the Covid-19 Pandemic?!

    1. Patrick Mangat

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. A Computational Model for Estimating the Evolution of COVID-19 in Rondônia-Brazil

    1. Tito Dias Junior
    2. Camila Bueno Machado

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. COVID-19 Induced Anxiety and Protective Behaviors During COVID-19 Outbreak: Scale Development and Validation

    1. Abanoub Riad
    2. Yi Huang
    3. Liping Zheng
    4. Steriani Elavsky

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Using viral genomics to estimate undetected infections and extent of superspreading events for COVID-19

    1. Lucy M. Li
    2. Patrick Ayscue

    Reviewed by eLife, ScreenIT

    5 evaluationsAppears in 2 listsLatest version Latest activity
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