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. “Don, doff, discard” to “don, doff, decontaminate”—FFR and mask integrity and inactivation of a SARS-CoV-2 surrogate and a norovirus following multiple vaporised hydrogen peroxide-, ultraviolet germicidal irradiation-, and dry heat decontaminations

    1. Louisa F. Ludwig-Begall
    2. Constance Wielick
    3. Olivier Jolois
    4. Lorène Dams
    5. Ravo M. Razafimahefa
    6. Hans Nauwynck
    7. Pierre-Francois Demeuldre
    8. Aurore Napp
    9. Jan Laperre
    10. Etienne Thiry
    11. Eric Haubruge

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. What do we know about smell and taste dysfunction by SARS-CoV-2. Predictive Value of the Venezuelan Olfactory test and RT-PCR analysis in viral infection diagnosis

    1. Rosalinda Pieruzzini
    2. Carlos Ayala-Grosso
    3. Jose de Jesus Navas
    4. Wilneg Rodríguez
    5. Nathalia Parra
    6. Emily Luque
    7. Aida Sánchez-Gago
    8. Scarleth González
    9. Alexandra Hagobian
    10. Angeline Grullón
    11. Karen Díaz
    12. Mariano Morales
    13. Melanie De Jesús
    14. Sonia Peña
    15. Luis Rodríguez
    16. Luis L Peña
    17. Ana Asaro
    18. Magda Magris

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Persisting Antibody Response to SARS-CoV-2 in a Local Austrian Population

    1. Dennis Ladage
    2. Delia Rösgen
    3. Clemens Schreiner
    4. Dorothee Ladage
    5. Christoph Adler
    6. Oliver Harzer
    7. Ralf J. Braun

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Nearly Perfect Forecasting of the Total COVID-19 Cases in India: A Numerical Approach

    1. Hemanta K. Baruah

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Implications of the school-household network structure on SARS-CoV-2 transmission under school reopening strategies in England

    1. James D. Munday
    2. Katharine Sherratt
    3. Sophie Meakin
    4. Akira Endo
    5. Carl A. B. Pearson
    6. Joel Hellewell
    7. Sam Abbott
    8. Nikos I. Bosse
    9. CMMID COVID-19 Working Group
    10. Rosalind M. Eggo
    11. David Simons
    12. Kathleen O’Reilly
    13. Timothy W. Russell
    14. Rachel Lowe
    15. Quentin J. Leclerc
    16. Jon C. Emery
    17. Petra Klepac
    18. Emily S. Nightingale
    19. Matthew Quaife
    20. Kevin van Zandvoort
    21. Gwenan M. Knight
    22. Thibaut Jombart
    23. C. Julian Villabona-Arenas
    24. Eleanor M. Rees
    25. Charlie Diamond
    26. Megan Auzenbergs
    27. Graham Medley
    28. Anna M. Foss
    29. Georgia R. Gore-Langton
    30. Arminder K. Deol
    31. Mark Jit
    32. Hamish P. Gibbs
    33. Simon R. Procter
    34. Alicia Rosello
    35. Christopher I. Jarvis
    36. Yang Liu
    37. Rein M. G. J. Houben
    38. Stéphane Hué
    39. Samuel Clifford
    40. Billy J. Quilty
    41. Amy Gimma
    42. Damien C. Tully
    43. Fiona Yueqian Sun
    44. Kiesha Prem
    45. Katherine E. Atkins
    46. Jacco Wallinga
    47. W. John Edmunds
    48. Albert Jan van Hoek
    49. Sebastian Funk

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  6. Preventing COVID-19 spread in closed facilities by regular testing of employees—An efficient intervention in long-term care facilities and prisons?

    1. Henri Christian Junior Tsoungui Obama
    2. Nessma Adil Mahmoud Yousif
    3. Looli Alawam Nemer
    4. Pierre Marie Ngougoue Ngougoue
    5. Gideon Akumah Ngwa
    6. Miranda Teboh-Ewungkem
    7. Kristan Alexander Schneider

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Clinical practices underlie COVID-19 patient respiratory microbiome composition and its interactions with the host

    1. Verónica Lloréns-Rico
    2. Ann C. Gregory
    3. Johan Van Weyenbergh
    4. Sander Jansen
    5. Tina Van Buyten
    6. Junbin Qian
    7. Marcos Braz
    8. Soraya Maria Menezes
    9. Pierre Van Mol
    10. Lore Vanderbeke
    11. Christophe Dooms
    12. Jan Gunst
    13. Greet Hermans
    14. Philippe Meersseman
    15. CONTAGIOUS collaborators
    16. Yannick Van Herck
    17. Alexander Wilmer
    18. Michael Casaer
    19. Stephen Rex
    20. Nathalie Lorent
    21. Jonas Yserbyt
    22. Dries Testelmans
    23. Karin Thevissen
    24. Els Wauters
    25. Johan Neyts
    26. Diether Lambrechts
    27. Joost Wauters
    28. Jeroen Raes

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Codon usage pattern reveals SARS-CoV-2 as a monomorphic pathogen of hybrid origin with role of silent mutations in rapid evolutionary success

    1. Kanika Bansal
    2. Sanjeet Kumar
    3. Prabhu B. Patil

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Boosting the analysis of protein interfaces with multiple interface string alignments: Illustration on the spikes of coronaviruses

    1. Stéphane Béreux
    2. Bernard Delmas
    3. Frédéric Cazals

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. The prevalence of common mental disorders among healthcare professionals during the COVID-19 pandemic at a tertiary Hospital in Addis Ababa, Ethiopia

    1. Hailu Abera Mulatu
    2. Muluken Tesfaye
    3. Esubalew Woldeyes
    4. Tola Bayisa
    5. Henok Fisseha
    6. Rodas Asrat Kassu

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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