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 prevalence of SARS-CoV-2 infection and other public health outcomes during the BA.2/BA.2.12.1 surge, New York City, April–May 2022

    1. Saba A. Qasmieh
    2. McKaylee M. Robertson
    3. Chloe A. Teasdale
    4. Sarah G. Kulkarni
    5. Heidi E. Jones
    6. David A. Larsen
    7. John J. Dennehy
    8. Margaret McNairy
    9. Luisa N. Borrell
    10. Denis Nash

    Reviewed by Rapid Reviews Infectious Diseases, ScreenIT

    4 evaluationsAppears in 2 listsLatest version Latest activity

  2. Characterization of Virologic Rebound Following Nirmatrelvir-Ritonavir Treatment for Coronavirus Disease 2019 (COVID-19)

    1. Julie Boucau
    2. Rockib Uddin
    3. Caitlin Marino
    4. James Regan
    5. James P Flynn
    6. Manish C Choudhary
    7. Geoffrey Chen
    8. Ashley M Stuckwisch
    9. Josh Mathews
    10. May Y Liew
    11. Arshdeep Singh
    12. Zahra Reynolds
    13. Surabhi L Iyer
    14. Grace C Chamberlin
    15. Tammy D Vyas
    16. Jatin M Vyas
    17. Sarah E Turbett
    18. Jonathan Z Li
    19. Jacob E Lemieux
    20. Amy K Barczak
    21. Mark J Siedner

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Impact of school closures and reopening on COVID-19 caseload in 6 cities of Pakistan: An Interrupted Time Series Analysis

    1. Abdul Mueed
    2. Taimoor Ahmad
    3. Mujahid Abdullah
    4. Faisal Sultan
    5. Adnan Ahmad Khan

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. A Repeat Pattern of Founder Events for SARS-CoV-2 Variants in Alaska

    1. Tracie J. Haan
    2. Lisa K. Smith
    3. Stephanie DeRonde
    4. Elva House
    5. Jacob Zidek
    6. Diana Puhak
    7. Logan Mullen
    8. Matthew Redlinger
    9. Jayme Parker
    10. Brian M. Barnes
    11. Jason L. Burkhead
    12. Cindy Knall
    13. Eric Bortz
    14. Jack Chen
    15. Devin M. Drown

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. The emergence of variants with increased fitness accelerates the slowdown of genome sequence heterogeneity in the SARS-CoV-2 coronavirus

    1. José L. Oliver
    2. Pedro Bernaola-Galván
    3. Francisco Perfectti
    4. Cristina Gómez Martín
    5. Silvia Castiglione
    6. Pasquale Raia
    7. Miguel Verdú
    8. Andrés Moya

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Virological characteristics of the SARS-CoV-2 Omicron BA.2 subvariants, including BA.4 and BA.5

    1. Izumi Kimura
    2. Daichi Yamasoba
    3. Tomokazu Tamura
    4. Naganori Nao
    5. Tateki Suzuki
    6. Yoshitaka Oda
    7. Shuya Mitoma
    8. Jumpei Ito
    9. Hesham Nasser
    10. Jiri Zahradnik
    11. Keiya Uriu
    12. Shigeru Fujita
    13. Yusuke Kosugi
    14. Lei Wang
    15. Masumi Tsuda
    16. Mai Kishimoto
    17. Hayato Ito
    18. Rigel Suzuki
    19. Ryo Shimizu
    20. MST Monira Begum
    21. Kumiko Yoshimatsu
    22. Kanako Terakado Kimura
    23. Jiei Sasaki
    24. Kaori Sasaki-Tabata
    25. Yuki Yamamoto
    26. Tetsuharu Nagamoto
    27. Jun Kanamune
    28. Kouji Kobiyama
    29. Hiroyuki Asakura
    30. Mami Nagashima
    31. Kenji Sadamasu
    32. Kazuhisa Yoshimura
    33. Kotaro Shirakawa
    34. Akifumi Takaori-Kondo
    35. Jin Kuramochi
    36. Gideon Schreiber
    37. Ken J. Ishii
    38. Takao Hashiguchi
    39. Terumasa Ikeda
    40. Akatsuki Saito
    41. Takasuke Fukuhara
    42. Shinya Tanaka
    43. Keita Matsuno
    44. Kei Sato

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Clearing the Fog: a Systematic Review on Cognitive Dysfunction in COVID-19

    1. Nicole Butardo
    2. Mikaela Frances Coronel
    3. Alanna Marie Dino
    4. Tiffany Ritz Mendoza
    5. Oliver Kyle Sto. Domingo
    6. Zypher Jude Regencia
    7. Jacqueline Dominguez
    8. Emmanuel Baja
    9. Antonio Ligsay

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Population-weighted exposure to green spaces tied to lower COVID-19 mortality rates: A nationwide dose-response study in the USA

    1. Yuwen Yang
    2. Yi Lu
    3. Bin Jiang

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. In the Midst of a Pandemic, Introverts May Have a Mortality Advantage

    1. Dana A. Glei
    2. Maxine Weinstein

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Depressive and anxiety symptoms during the COVID-19 pandemic: A two-year follow-up

    1. Feifei Bu
    2. Andrew Steptoe
    3. Daisy Fancourt

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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