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. Predicting the Peak and COVID-19 trend in six high incidence countries: A study based on Modified SEIRD model

    1. Punam Bedi
    2. Shivani Dhiman
    3. Neha Gupta
    4. Vinita Jindal
    5. Pushkar Gole

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. How deadly is COVID-19? A rigorous analysis of excess mortality and age-dependent fatality rates in Italy

    1. Chirag Modi
    2. Vanessa Böhm
    3. Simone Ferraro
    4. George Stein
    5. Uroš Seljak

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  3. Modeling and Simulation: A Study on Predicting the Outbreak of COVID-19 in Saudi Arabia

    1. Ahmed Msmali
    2. Mutum Zico
    3. Idir Mechai
    4. Abdullah Ahmadini

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Community health worker knowledge, attitudes and practices towards COVID-19: Learnings from an online cross-sectional survey using a digital health platform, UpSCALE, in Mozambique

    1. Mitra Feldman
    2. Vera Lacey Krylova
    3. Poppy Farrow
    4. Laura Donovan
    5. Edson Zandamela
    6. Joaquim Rebelo
    7. Maria Rodrigues
    8. Antonio Bulo
    9. Carlos Ferraz
    10. Humberto Rodrigues
    11. Arantxa Roca-Feltrer
    12. Kevin Baker

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. T cell assays differentiate clinical and subclinical SARS-CoV-2 infections from cross-reactive antiviral responses

    1. Ane Ogbe
    2. Barbara Kronsteiner
    3. Donal T. Skelly
    4. Matthew Pace
    5. Anthony Brown
    6. Emily Adland
    7. Kareena Adair
    8. Hossain Delowar Akhter
    9. Mohammad Ali
    10. Serat-E Ali
    11. Adrienn Angyal
    12. M. Azim Ansari
    13. Carolina V. Arancibia-Cárcamo
    14. Helen Brown
    15. Senthil Chinnakannan
    16. Christopher Conlon
    17. Catherine de Lara
    18. Thushan de Silva
    19. Christina Dold
    20. Tao Dong
    21. Timothy Donnison
    22. David Eyre
    23. Amy Flaxman
    24. Helen Fletcher
    25. Joshua Gardner
    26. James T. Grist
    27. Carl-Philipp Hackstein
    28. Kanoot Jaruthamsophon
    29. Katie Jeffery
    30. Teresa Lambe
    31. Lian Lee
    32. Wenqin Li
    33. Nicholas Lim
    34. Philippa C. Matthews
    35. Alexander J. Mentzer
    36. Shona C. Moore
    37. Dean J. Naisbitt
    38. Monday Ogese
    39. Graham Ogg
    40. Peter Openshaw
    41. Munir Pirmohamed
    42. Andrew J. Pollard
    43. Narayan Ramamurthy
    44. Patpong Rongkard
    45. Sarah Rowland-Jones
    46. Oliver Sampson
    47. Gavin Screaton
    48. Alessandro Sette
    49. Lizzie Stafford
    50. Craig Thompson
    51. Paul J. Thomson
    52. Ryan Thwaites
    53. Vinicius Vieira
    54. Daniela Weiskopf
    55. Panagiota Zacharopoulou
    56. Oxford Immunology Network Covid-19 Response T Cell Consortium
    57. Jeremy Chalk
    58. Georgina Kerr
    59. Prabhjeet Phalora
    60. Anna Csala
    61. Mathew Jones
    62. Nicola Robinson
    63. Rachael Brown
    64. Claire Hutchings
    65. Nicholas Provine
    66. Jeremy Ratcliff
    67. Ali Amini
    68. Oxford Protective T Cell Immunology for COVID-19 (OPTIC) Clinical Team
    69. Martyna Borak
    70. Stavros Dimitriadis
    71. Thomas Fordwoh
    72. Bryn Horsington
    73. Sile Johnson
    74. Jordan Morrow
    75. Yolanda Warren
    76. Charlie Wells
    77. Lance Turtle
    78. Paul Klenerman
    79. Philip Goulder
    80. John Frater
    81. Eleanor Barnes
    82. Susanna Dunachie

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  6. An evolutionary analysis of the SARS-CoV-2 genomes from the countries in the same meridian

    1. Emilio Mastriani
    2. Alexey V. Rakov
    3. Shu-Lin Liu

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. The Nexus Between Telomere Length and Lymphocyte Count in Seniors Hospitalized With COVID-19

    1. Athanase Benetos
    2. Tsung-Po Lai
    3. Simon Toupance
    4. Carlos Labat
    5. Simon Verhulst
    6. Sylvie Gautier
    7. Marie-Noelle Ungeheuer
    8. Christine Perret-Guillaume
    9. Daniel Levy
    10. Ezra Susser
    11. Abraham Aviv

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Estimating the case fatality ratio for COVID-19 using a time-shifted distribution analysis

    1. B. S. Thomas
    2. N. A. Marks

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Risk of death by age and gender from CoVID-19 in Peru, March-May, 2020

    1. Cesar Munayco
    2. Gerardo Chowell
    3. Amna Tariq
    4. Eduardo A. Undurraga
    5. Kenji Mizumoto

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Hidden Parameters Impacting Resurgence of SARS-CoV-2 Pandemic *

    1. Yi Zhang
    2. Sanjiv Kapoor

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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