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. Antigen-based Rapid Diagnostic Testing or Alternatives for Diagnosis of Symptomatic COVID-19

    1. Emily A. Kendall
    2. Nimalan Arinaminpathy
    3. Jilian A. Sacks
    4. Yukari C. Manabe
    5. Sabine Dittrich
    6. Samuel G. Schumacher
    7. David W. Dowdy

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Tracing and analysis of 288 early SARS-CoV-2 infections outside China: A modeling study

    1. Francesco Pinotti
    2. Laura Di Domenico
    3. Ernesto Ortega
    4. Marco Mancastroppa
    5. Giulia Pullano
    6. Eugenio Valdano
    7. Pierre-Yves Boëlle
    8. Chiara Poletto
    9. Vittoria Colizza

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. The Effects of Using a Clinical Prediction Rule to Prioritize Diagnostic Testing on Transmission and Hospital Burden: A Modeling Example of Early Severe Acute Respiratory Syndrome Coronavirus 2

    1. Jody R Reimer
    2. Sharia M Ahmed
    3. Ben J Brintz
    4. Rashmee U Shah
    5. Lindsay T Keegan
    6. Matthew J Ferrari
    7. Daniel T Leung

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Coronavirus epidemic: prediction and controlling measures

    1. Mohammad Mehdi Pejman
    2. Armaghan Fereidooni

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Retrospective assessment of SARS-COV2 circulation in two hospital nurseries hosting healthcare workers’ children during lockdown in one of the most affected French area s

    1. Pauline Penot
    2. Anne Delaval
    3. Fabienne L’Hour
    4. Angélique Grenier
    5. Raya Harich

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Prediction of Covid-19 spreading and optimal coordination of counter-measures: From microscopic to macroscopic models to Pareto fronts

    1. Hanna Wulkow
    2. Tim O. F. Conrad
    3. Nataša Djurdjevac Conrad
    4. Sebastian A. Müller
    5. Kai Nagel
    6. Christof Schütte

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. ICU and Ventilator Mortality Among Critically Ill Adults With Coronavirus Disease 2019*

    1. Sara C. Auld
    2. Mark Caridi-Scheible
    3. James M. Blum
    4. Chad Robichaux
    5. Colleen Kraft
    6. Jesse T. Jacob
    7. Craig S. Jabaley
    8. David Carpenter
    9. Roberta Kaplow
    10. Alfonso C. Hernandez-Romieu
    11. Max W. Adelman
    12. Greg S. Martin
    13. Craig M. Coopersmith
    14. David J. Murphy

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  8. Design of a highly thermotolerant, immunogenic SARS-CoV-2 spike fragment

    1. Sameer Kumar Malladi
    2. Randhir Singh
    3. Suman Pandey
    4. Savitha Gayathri
    5. Kawkab Kanjo
    6. Shahbaz Ahmed
    7. Mohammad Suhail Khan
    8. Parismita Kalita
    9. Nidhi Girish
    10. Aditya Upadhyaya
    11. Poorvi Reddy
    12. Ishika Pramanick
    13. Munmun Bhasin
    14. Shailendra Mani
    15. Sankar Bhattacharyya
    16. Jeswin Joseph
    17. Karthika Thankamani
    18. V. Stalin Raj
    19. Somnath Dutta
    20. Ramandeep Singh
    21. Gautham Nadig
    22. Raghavan Varadarajan

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Saliva viral load is a dynamic unifying correlate of COVID-19 severity and mortality

    1. Julio Silva
    2. Carolina Lucas
    3. Maria Sundaram
    4. Benjamin Israelow
    5. Patrick Wong
    6. Jon Klein
    7. Maria Tokuyama
    8. Peiwen Lu
    9. Arvind Venkataraman
    10. Feimei Liu
    11. Tianyang Mao
    12. Ji Eun Oh
    13. Annsea Park
    14. Arnau Casanovas-Massana
    15. Chantal B. F. Vogels
    16. M. Catherine Muenker
    17. Joseph Zell
    18. John B. Fournier
    19. Melissa Campbell
    20. Michael Chiorazzi
    21. Edwin Ruiz Fuentes
    22. Mary E Petrone
    23. Chaney C. Kalinich
    24. Isabel M. Ott
    25. Annie Watkins
    26. Adam J. Moore
    27. Maura Nakahata
    28. Yale IMPACT Team
    29. Nathan D. Grubaugh
    30. Shelli Farhadian
    31. Charles Dela Cruz
    32. Albert I. Ko
    33. Wade L. Schulz
    34. Aaron Ring
    35. Shuangge Ma
    36. Saad Omer
    37. Anne L Wyllie
    38. Akiko Iwasaki

    Reviewed by Rapid Reviews Infectious Diseases, ScreenIT

    4 evaluationsAppears in 2 listsLatest version Latest activity

  10. False Negative Mitigation in Group Testing for COVID-19 Screening

    1. Amir Reza Alizad-Rahvar
    2. Safar Vafadar
    3. Mehdi Totonchi
    4. Mehdi Sadeghi

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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