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. Delta variant SARS-CoV-2 infections in pediatric cases during the second wave in India

    1. Pragya D. Yadav
    2. Gunjan Kumar
    3. Aparna Mukherjee
    4. Dimpal A. Nyayanit
    5. Anita M. Shete
    6. Rima R. Sahay
    7. Abhinendra Kumar
    8. Triparna Majumdar
    9. Savita Patil
    10. Priyanka Pandit
    11. Yash Joshi
    12. Manisha Dudhmal
    13. Samiran Panda
    14. Lokesh Kumar Sharma
    15. Kala Yadav Ml
    16. Jayanthi Shastri
    17. Mayank Gangwar
    18. Ashok Munivenkattapa
    19. Varsha Potdar
    20. K. Nagamani
    21. Kapil Goyal
    22. Ravisekhar Gadepalli
    23. Maria Thomas
    24. Suruchi Shukla
    25. P. Nagraj
    26. Vivek Gupta
    27. Gaurav Dalela
    28. Nawaz Umar
    29. Sweety M. Patel

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Evaluating the number of unvaccinated people needed to exclude to prevent SARS-CoV-2 transmissions

    1. Aaron Prosser
    2. Bartosz Helfer
    3. David L. Streiner

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. The T cell receptor repertoire reflects the dynamics of the immune response to vaccination

    1. Kevin Mohammed
    2. Austin Meadows
    3. Saboor Hekmaty
    4. Sandra Hatem
    5. Viviana Simon
    6. Anitha D. Jayaprakash
    7. Ravi Sachidanandam

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. ClusTRace, a bioinformatic pipeline for analyzing clusters in virus phylogenies

    1. Ilya Plyusnin
    2. Phuoc Thien Truong Nguyen
    3. Tarja Sironen
    4. Olli Vapalahti
    5. Teemu Smura
    6. Ravi Kant

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Risk of SARS-CoV-2 reinfections in children: a prospective national surveillance study between January, 2020, and July, 2021, in England

    1. Anna A Mensah
    2. Helen Campbell
    3. Julia Stowe
    4. Giulia Seghezzo
    5. Ruth Simmons
    6. Joanne Lacy
    7. Antoaneta Bukasa
    8. Shennae O'Boyle
    9. Mary E Ramsay
    10. Kevin Brown
    11. Shamez N Ladhani

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Inferring variant-specific effective reproduction numbers from combined case and sequencing data

    1. Marlin D Figgins
    2. Trevor Bedford

    • Curated by eLife

      eLife Assessment

      This study provides new important insights concerning pathogen variant-specific reproduction parameters from molecular sequencing and case finding. The methods for inferring which variants will likely emerge in subsequent epidemic cycles are solid. This article is of broad interest to infectious disease epidemiology researchers and mathematical modellers of the COVID-19 pandemic.

    Reviewed by eLife, ScreenIT

    4 evaluationsAppears in 2 listsLatest version Latest activity

  7. Phenome‐Wide Association Study of Severe COVID‐19 Genetic Risk Variants

    1. Jessica A. Regan
    2. Jawan W. Abdulrahim
    3. Nathan A. Bihlmeyer
    4. Carol Haynes
    5. Lydia Coulter Kwee
    6. Manesh R. Patel
    7. Svati H. Shah

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. COVID-19 booster vaccine attitudes and behaviors among university students and staff in the United States: The USC Trojan pandemic research Initiative

    1. Ryan C. Lee
    2. Howard Hu
    3. Eric S. Kawaguchi
    4. Andre E. Kim
    5. Daniel W. Soto
    6. Kush Shanker
    7. Jeffrey D. Klausner
    8. Sarah Van Orman
    9. Jennifer B. Unger

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. SARS-CoV-2 and endemic coronaviruses: Comparing symptom presentation and severity of symptomatic illness among Nicaraguan children

    1. Aaron M. Frutos
    2. John Kubale
    3. Guillermina Kuan
    4. Sergio Ojeda
    5. Nivea Vydiswaran
    6. Nery Sanchez
    7. Miguel Plazaola
    8. May Patel
    9. Roger Lopez
    10. Angel Balmaseda
    11. Aubree Gordon

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Emotional distress, stress, anxiety, and the impact of the COVID-19 pandemic on early- to mid-career women in healthcare sciences research

    1. Noor Bittar
    2. Andrea Cohee
    3. Surya Sruthi Bhamidipalli
    4. April Savoy
    5. Heba M. Ismail

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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