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. The ABO blood group locus and a chromosome 3 gene cluster associate with SARS-CoV-2 respiratory failure in an Italian-Spanish genome-wide association analysis

    1. David Ellinghaus
    2. Frauke Degenhardt
    3. Luis Bujanda
    4. Maria Buti
    5. Agustín Albillos
    6. Pietro Invernizzi
    7. Javier Fernández
    8. Daniele Prati
    9. Guido Baselli
    10. Rosanna Asselta
    11. Marit M Grimsrud
    12. Chiara Milani
    13. Fátima Aziz
    14. Jan Kässens
    15. Sandra May
    16. Mareike Wendorff
    17. Lars Wienbrandt
    18. Florian Uellendahl-Werth
    19. Tenghao Zheng
    20. Xiaoli Yi
    21. Raúl de Pablo
    22. Adolfo Garrido Chercoles
    23. Graduate in Chemistry
    24. Adriana Palom
    25. Alba-Estela Garcia-Fernandez
    26. Francisco Rodriguez-Frias
    27. Alberto Zanella
    28. Alessandra Bandera
    29. Alessandro Protti
    30. Alessio Aghemo
    31. Ana Lleo
    32. Andrea Biondi
    33. Andrea Caballero-Garralda
    34. Andrea Gori
    35. Anja Tanck
    36. Anna Latiano
    37. Anna Ludovica Fracanzani
    38. Anna Peschuk
    39. Antonio Julià
    40. Antonio Pesenti
    41. Antonio Voza
    42. David Jiménez
    43. Beatriz Mateos
    44. Beatriz Nafria Jimenez
    45. Graduate in Biotechnology
    46. Carmen Quereda
    47. Claudio Angelini
    48. Cristina Cea
    49. Aurora Solier
    50. David Pestaña
    51. Elena Sandoval
    52. Elvezia Maria Paraboschi
    53. Enrique Navas
    54. Ferruccio Ceriotti
    55. Filippo Martinelli-Boneschi
    56. Flora Peyvandi
    57. Francesco Blasi
    58. Luis Téllez
    59. Albert Blanco-Grau
    60. Giacomo Grasselli
    61. Giorgio Costantino
    62. Giulia Cardamone
    63. Giuseppe Foti
    64. Serena Aneli
    65. Hayato Kurihara
    66. Hesham ElAbd
    67. Ilaria My
    68. Javier Martin
    69. Jeanette Erdmann
    70. José Ferrusquía-Acosta
    71. Koldo Garcia-Etxebarria
    72. Laura Izquierdo-Sanchez
    73. Graduate in Biochemistry, MS
    74. Laura Rachele Bettini
    75. Leonardo Terranova
    76. Leticia Moreira
    77. Luigi Santoro
    78. Luigia Scudeller
    79. Francisco Mesonero
    80. Luisa Roade
    81. Marco Schaefer
    82. Maria Carrabba
    83. Maria del Mar Riveiro Barciela
    84. Maria Eloina Figuera Basso
    85. Maria Grazia Valsecchi
    86. María Hernandez-Tejero
    87. Marialbert Acosta-Herrera
    88. Mariella D’Angiò
    89. Marina Baldini
    90. Marina Cazzaniga
    91. Martin Schulzky
    92. Maurizio Cecconi
    93. Michael Wittig
    94. Michele Ciccarelli
    95. Miguel Rodríguez-Gandía
    96. Monica Bocciolone
    97. Monica Miozzo
    98. Nicole Braun
    99. Nilda Martínez
    100. Orazio Palmieri
    101. Paola Faverio
    102. Paoletta Preatoni
    103. Paolo Bonfanti
    104. Paolo Omodei
    105. Paolo Tentorio
    106. Pedro Castro
    107. Pedro M. Rodrigues
    108. Aaron Blandino Ortiz
    109. Ricardo Ferrer Roca
    110. Roberta Gualtierotti
    111. Rosa Nieto
    112. Salvatore Badalamenti
    113. Sara Marsal
    114. Giuseppe Matullo
    115. Serena Pelusi
    116. Valter Monzani
    117. Tanja Wesse
    118. Tomas Pumarola
    119. Valeria Rimoldi
    120. Silvano Bosari
    121. Wolfgang Albrecht
    122. Wolfgang Peter
    123. Manuel Romero Gómez
    124. Mauro D’Amato
    125. Stefano Duga
    126. Jesus M. Banales
    127. Johannes R Hov
    128. Trine Folseraas
    129. Luca Valenti
    130. Andre Franke
    131. Tom H Karlsen

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  2. From 5Vs to 6Cs: Operationalizing Epidemic Data Management with COVID-19 Surveillance

    1. Akhil Sai Peddireddy
    2. Dawen Xie
    3. Pramod Patil
    4. Mandy L. Wilson
    5. Dustin Machi
    6. Srinivasan Venkatramanan
    7. Brian Klahn
    8. Przemyslaw Porebski
    9. Parantapa Bhattacharya
    10. Shirish Dumbre
    11. Erin Raymond
    12. Madhav Marathe

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Vitamin D status and seroconversion for COVID-19 in UK healthcare workers

    1. Aduragbemi A. Faniyi
    2. Sebastian T. Lugg
    3. Sian E. Faustini
    4. Craig Webster
    5. Joanne E. Duffy
    6. Martin Hewison
    7. Adrian Shields
    8. Peter Nightingale
    9. Alex G. Richter
    10. David R. Thickett

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. COVID-19 immunization threshold(s): an analysis

    1. Luis Alfredo Bautista Balbás
    2. Mario Gil Conesa
    3. Blanca Bautista Balbás
    4. Ainhoa Alcaide Jiménez
    5. Gil Rodríguez Caravaca

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. COVID-19: The unreasonable effectiveness of simple models

    1. Timoteo Carletti
    2. Duccio Fanelli
    3. Francesco Piazza

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Is Nasopharyngeal Swab Comparable With Nasopharyngeal Aspirate to Detect SARS-CoV-2 in Children?

    1. Ester Capecchi
    2. Giada Maria Di Pietro
    3. Ester Luconi

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. A pre-registered short-term forecasting study of COVID-19 in Germany and Poland during the second wave

    1. J. Bracher
    2. D. Wolffram
    3. J. Deuschel
    4. K. Görgen
    5. J. L. Ketterer
    6. A. Ullrich
    7. S. Abbott
    8. M. V. Barbarossa
    9. D. Bertsimas
    10. S. Bhatia
    11. M. Bodych
    12. N. I. Bosse
    13. J. P. Burgard
    14. L. Castro
    15. G. Fairchild
    16. J. Fuhrmann
    17. S. Funk
    18. K. Gogolewski
    19. Q. Gu
    20. S. Heyder
    21. T. Hotz
    22. Y. Kheifetz
    23. H. Kirsten
    24. T. Krueger
    25. E. Krymova
    26. M. L. Li
    27. J. H. Meinke
    28. I. J. Michaud
    29. K. Niedzielewski
    30. T. Ożański
    31. F. Rakowski
    32. M. Scholz
    33. S. Soni
    34. A. Srivastava
    35. J. Zieliński
    36. D. Zou
    37. T. Gneiting
    38. M. Schienle
    39. List of Contributors by Team
    40. CovidAnalytics-DELPHI
    41. Michael Lingzhi Li
    42. Dimitris Bertsimas
    43. Hamza Tazi Bouardi
    44. Omar Skali Lami
    45. Saksham Soni
    46. epiforecasts-EpiExpert and epiforecasts-EpiNow2
    47. Sam Abbott
    48. Nikos I. Bosse
    49. Sebastian Funk
    50. FIAS FZJ-Epi1Ger
    51. Maria Vittoria Barbarossa
    52. Jan Fuhrmann
    53. Jan H. Meinke
    54. German and Polish Forecast Hub Coordination Team
    55. Johannes Bracher
    56. Jannik Deuschel
    57. Tilmann Gneiting
    58. Konstantin Görgen
    59. Jakob Ketterer
    60. Melanie Schienle
    61. Alexander Ullrich
    62. Daniel Wolffram
    63. ICM-agentModel
    64. Łukasz Górski
    65. Magdalena Gruziel-Słomka
    66. Artur Kaczorek
    67. Antoni Moszyński
    68. Karol Niedzielewski
    69. Jedrzej Nowosielski
    70. Maciej Radwan
    71. Franciszek Rakowski
    72. Marcin Semeniuk
    73. Jakub Zieliński
    74. Rafał Bartczuk
    75. Jan Kisielewski
    76. Imperial-ensemble2
    77. Sangeeta Bhatia
    78. ITWW-county repro
    79. Przemyslaw Biecek
    80. Viktor Bezborodov
    81. Marcin Bodych
    82. Tyll Krueger
    83. Jan Pablo Burgard
    84. Stefan Heyder
    85. Thomas Hotz
    86. LANL-GrowthRate
    87. Dave A. Osthus
    88. Isaac J. Michaud
    89. Lauren Castro
    90. Geoffrey Fairchild
    91. LeipzigIMISE-SECIR
    92. Yuri Kheifetz
    93. Holger Kirsten
    94. Markus Scholz
    95. MIMUW-StochSEIR
    96. Anna Gambin
    97. Krzysztof Gogolewski
    98. Błażej Miasojedow
    99. Ewa Szczurek
    100. Daniel Rabczenko
    101. Magdalena Rosińska
    102. MOCOS-agent1
    103. Marek Bawiec
    104. Marcin Bodych
    105. Tomasz Ożański
    106. Barbara Pabjan
    107. Ewaryst Rafajłlowicz
    108. Ewa Skubalska-Rafajłowicz
    109. Wojciech Rafajłowicz
    110. Agata Migalska
    111. Ewa Szczurek
    112. SDSC ISG-TrendModel
    113. Antoine Flahault
    114. Elisa Manetti
    115. Christine Choirat
    116. Benjamin Bejar Haro
    117. Ekaterina Krymova
    118. Gavin Lee
    119. Guillaume Obozinski
    120. Tao Sun
    121. Dorina Thanou
    122. UCLA-SuEIR
    123. Quanquan Gu
    124. Pan Xu
    125. Jinghui Chen
    126. Lingxiao Wang
    127. Difan Zou
    128. Weitong Zhang
    129. USC-SIkJalpha
    130. Ajitesh Srivastava
    131. Viktor K. Prasanna
    132. Frost Tianjian Xu

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Estimation of the time-varying reproduction number of COVID-19 outbreak in China

    1. Chong You
    2. Yuhao Deng
    3. Wenjie Hu
    4. Jiarui Sun
    5. Qiushi Lin
    6. Feng Zhou
    7. Cheng Heng Pang
    8. Yuan Zhang
    9. Zhengchao Chen
    10. Xiao-Hua Zhou

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  9. Epidemiological measures for informing the general public during the SARS-CoV-2-outbreak: simulation study about bias by incomplete case-detection

    1. Ralph Brinks
    2. Helmut Küchenhoff
    3. Jörg Timm
    4. Tobias Kurth
    5. Annika Hoyer

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Analysis of SARS-CoV-2 ORF3a structure reveals chloride binding sites

    1. Valeria Marquez-Miranda
    2. Maximiliano Rojas
    3. Yorley Duarte
    4. Ignacio Diaz-Franulic
    5. Miguel Holmgren
    6. Raul E. Cachau
    7. Fernando D. Gonzalez-Nilo

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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