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. Clinical and microbiological assessments of COVID-19 in healthcare workers: a prospective longitudinal study

    1. Antonin Bal
    2. Karen Brengel-Pesce
    3. Alexandre Gaymard
    4. Grégory Quéromès
    5. Nicolas Guibert
    6. Emile Frobert
    7. Maude Bouscambert
    8. Mary-Anne Trabaud
    9. Florence Allantaz-Frager
    10. Guy Oriol
    11. Valérie Cheynet
    12. Constance d’Aubarede
    13. Amélie Massardier-Pilonchery
    14. Marlyse Buisson
    15. Julien Lupo
    16. Bruno Pozzetto
    17. Pascal Poignard
    18. Bruno Lina
    19. Jean-Baptiste Fassier
    20. Florence Morfin-Sherpa
    21. Sophie Trouillet-Assant

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. SARS-Cov-2-, HIV-1-, Ebola-neutralizing and anti-PD1 clones are predisposed

    1. Yanfang Zhang
    2. Qingxian Xu
    3. Huikun Zeng
    4. Minhui Wang
    5. Yanxia Zhang
    6. Chunhong Lan
    7. Xiujia Yang
    8. Yan Zhu
    9. Yuan Chen
    10. Qilong Wang
    11. Haipei Tang
    12. Yan Zhang
    13. Jiaqi Wu
    14. Chengrui Wang
    15. Wenxi Xie
    16. Cuiyu Ma
    17. Junjie Guan
    18. Shixin Guo
    19. Sen Chen
    20. Changqing Chang
    21. Wei Yang
    22. Lai Wei
    23. Jian Ren
    24. Xueqing Yu
    25. Zhenhai Zhang

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Co-circulation of two viral populations under vaccination

    1. Manuel A. Acuña-Zegarra
    2. Mayra Núñez-López
    3. Andreu Comas-García
    4. Mario Santana-Cibrian
    5. Jorge X. Velasco-Hernández

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Immunogenicity and efficacy of the COVID-19 candidate vector vaccine MVA SARS 2 S in preclinical vaccination

    1. Alina Tscherne
    2. Jan Hendrik Schwarz
    3. Cornelius Rohde
    4. Alexandra Kupke
    5. Georgia Kalodimou
    6. Leonard Limpinsel
    7. Nisreen M.A. Okba
    8. Berislav Bošnjak
    9. Inga Sandrock
    10. Sandro Halwe
    11. Lucie Sauerhering
    12. Katrin Brosinski
    13. Nan Liangliang
    14. Elke Duell
    15. Sylvia Jany
    16. Astrid Freudenstein
    17. Jörg Schmidt
    18. Anke Werner
    19. Michelle Gellhorn Sera
    20. Michael Klüver
    21. Wolfgang Guggemos
    22. Michael Seilmaier
    23. Clemens-Martin Wendtner
    24. Reinhold Förster
    25. Bart L. Haagmans
    26. Stephan Becker
    27. Gerd Sutter
    28. Asisa Volz

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. COVID-19 isolation and containment strategies for ships: Lessons from the USS Theodore Roosevelt outbreak

    1. Madison Stoddard
    2. Kaitlyn Johnson
    3. Doug White
    4. Ryan Nolan
    5. Natasha Hochberg
    6. Arijit Chakravarty

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Evolution and epidemic spread of SARS-CoV-2 in Brazil

    1. Darlan S. Candido
    2. Ingra M. Claro
    3. Jaqueline G. de Jesus
    4. William M. Souza
    5. Filipe R. R. Moreira
    6. Simon Dellicour
    7. Thomas A. Mellan
    8. Louis du Plessis
    9. Rafael H. M. Pereira
    10. Flavia C. S. Sales
    11. Erika R. Manuli
    12. Julien Thézé
    13. Luiz Almeida
    14. Mariane T. Menezes
    15. Carolina M. Voloch
    16. Marcilio J. Fumagalli
    17. Thaís M. Coletti
    18. Camila A. M. da Silva
    19. Mariana S. Ramundo
    20. Mariene R. Amorim
    21. Henrique H. Hoeltgebaum
    22. Swapnil Mishra
    23. Mandev S. Gill
    24. Luiz M. Carvalho
    25. Lewis F. Buss
    26. Carlos A. Prete
    27. Jordan Ashworth
    28. Helder I. Nakaya
    29. Pedro S. Peixoto
    30. Oliver J. Brady
    31. Samuel M. Nicholls
    32. Amilcar Tanuri
    33. Átila D. Rossi
    34. Carlos K. V. Braga
    35. Alexandra L. Gerber
    36. Ana Paula de C. Guimarães
    37. Nelson Gaburo
    38. Cecila Salete Alencar
    39. Alessandro C. S. Ferreira
    40. Cristiano X. Lima
    41. José Eduardo Levi
    42. Celso Granato
    43. Giulia M. Ferreira
    44. Ronaldo S. Francisco
    45. Fabiana Granja
    46. Marcia T. Garcia
    47. Maria Luiza Moretti
    48. Mauricio W. Perroud
    49. Terezinha M. P. P. Castiñeiras
    50. Carolina S. Lazari
    51. Sarah C. Hill
    52. Andreza Aruska de Souza Santos
    53. Camila L. Simeoni
    54. Julia Forato
    55. Andrei C. Sposito
    56. Angelica Z. Schreiber
    57. Magnun N. N. Santos
    58. Camila Zolini de Sá
    59. Renan P. Souza
    60. Luciana C. Resende-Moreira
    61. Mauro M. Teixeira
    62. Josy Hubner
    63. Patricia A. F. Leme
    64. Rennan G. Moreira
    65. Maurício L. Nogueira
    66. Brazil-UK Centre for Arbovirus Discovery, Diagnosis, Genomics and Epidemiology (CADDE) Genomic Network
    67. Neil M. Ferguson
    68. Silvia F. Costa
    69. José Luiz Proenca-Modena
    70. Ana Tereza R. Vasconcelos
    71. Samir Bhatt
    72. Philippe Lemey
    73. Chieh-Hsi Wu
    74. Andrew Rambaut
    75. Nick J. Loman
    76. Renato S. Aguiar
    77. Oliver G. Pybus
    78. Ester C. Sabino
    79. Nuno Rodrigues Faria

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Genomic Similarity of Nucleotides in SARS CoronaVirus using K-Means Unsupervised Learning Algorithm

    1. Jairaj Singh

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. CD127 imprints functional heterogeneity to diversify monocyte responses in human inflammatory diseases

    1. Bin Zhang
    2. Yuan Zhang
    3. Lei Xiong
    4. Yuzhe Li
    5. Yunliang Zhang
    6. Jiuliang Zhao
    7. Hui Jiang
    8. Can Li
    9. Yunqi Liu
    10. Xindong Liu
    11. Haofei Liu
    12. Yi-Fang Ping
    13. Qiangfeng Cliff Zhang
    14. Zheng Zhang
    15. Xiu-Wu Bian
    16. Yan Zhao
    17. Xiaoyu Hu

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Inflammatory biomarkers in pregnant women with COVID-19: a retrospective cohort study

    1. Andrea Lombardi
    2. Silvia Duiella
    3. Letizia Li Piani
    4. Agnese Comelli
    5. Ferruccio Ceriotti
    6. Massimo Oggioni
    7. Antonio Muscatello
    8. Alessandra Bandera
    9. Andrea Gori
    10. Enrico Ferrazzi

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Reproduction as a Means of Evaluating Policy Models: A Case Study of a COVID-19 Simulation

    1. E. Chattoe-Brown
    2. N. Gilbert
    3. D. A. Robertson
    4. C. Watts

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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