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. COVID-19 Related Mortality: Is the BCG Vaccine Truly Effective?

    1. Jan A. Paredes
    2. Valeria Garduño
    3. Julian Torres

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Robust estimation of diagnostic rate and real incidence of COVID-19 for European policymakers

    1. Martí Català
    2. David Pino
    3. Miquel Marchena
    4. Pablo Palacios
    5. Tomás Urdiales
    6. Pere-Joan Cardona
    7. Sergio Alonso
    8. David López-Codina
    9. Clara Prats
    10. Enrique Alvarez-Lacalle

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Evaluating the efficiency of specimen pooling for PCR‐based detection of COVID‐19

    1. Supaporn Wacharapluesadee
    2. Thongchai Kaewpom
    3. Weenassarin Ampoot
    4. Siriporn Ghai
    5. Worrawat Khamhang
    6. Kanthita Worachotsueptrakun
    7. Phanni Wanthong
    8. Chatchai Nopvichai
    9. Thirawat Supharatpariyakorn
    10. Opass Putcharoen
    11. Leilani Paitoonpong
    12. Gompol Suwanpimolkul
    13. Watsamon Jantarabenjakul
    14. Pasin Hemachudha
    15. Artit Krichphiphat
    16. Rome Buathong
    17. Tanarak Plipat
    18. Thiravat Hemachudha

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Lung disease severity, Coronary Artery Calcium, Coronary inflammation and Mortality in Coronavirus Disease 2019

    1. Nicola Gaibazzi
    2. Chiara Martini
    3. Maria Mattioli
    4. Domenico Tuttolomondo
    5. Angela Guidorossi
    6. Sergio Suma
    7. Damini Dey
    8. Anselmo Palumbo
    9. Massimo De Filippo

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Sex‐ and Age‐Specific Differences in COVID ‐19 Testing, Cases, and Outcomes: A Population‐Wide Study in Ontario, Canada

    1. Nathan M. Stall
    2. Wei Wu
    3. Lauren Lapointe‐Shaw
    4. David N. Fisman
    5. Vasily Giannakeas
    6. Michael P. Hillmer
    7. Paula A. Rochon

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Evaluating Apple Inc Mobility Trend Data Related to the COVID-19 Outbreak in Japan: Statistical Analysis

    1. Junko Kurita
    2. Yoshiyuki Sugishita
    3. Tamie Sugawara
    4. Yasushi Ohkusa

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Effect of Alert Level 4 on R eff : review of international COVID-19 cases

    1. Rachelle N. Binny
    2. Shaun C. Hendy
    3. Alex James
    4. Audrey Lustig
    5. Michael J. Plank
    6. Nicholas Steyn

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Population-based surveys of antibodies against SARS-CoV-2 in Southern Brazil

    1. Mariângela F. Silveira
    2. Aluísio J. D. Barros
    3. Bernardo L. Horta
    4. Lúcia C. Pellanda
    5. Gabriel D. Victora
    6. Odir A. Dellagostin
    7. Claudio J. Struchiner
    8. Marcelo N. Burattini
    9. Andréia R. M. Valim
    10. Evelise M. Berlezi
    11. Jeovany M. Mesa
    12. Maria Letícia R. Ikeda
    13. Marilia A. Mesenburg
    14. Marina Mantesso
    15. Marinel M. Dall’Agnol
    16. Raqueli A. Bittencourt
    17. Fernando P. Hartwig
    18. Ana M. B. Menezes
    19. Fernando C. Barros
    20. Pedro C. Hallal
    21. Cesar G. Victora

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. The use of facemasks by the general population to prevent transmission of Covid 19 infection: A systematic review

    1. Madhu Gupta
    2. Khushi Gupta
    3. Sarika Gupta

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Cancer is associated with the severity and mortality of patients with COVID-19: a systematic review and meta-analysis

    1. Ya Gao
    2. Ming Liu
    3. Shuzhen Shi
    4. Yamin Chen
    5. Yue Sun
    6. Ji Chen
    7. Jinhui Tian

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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