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. Predicting intention to receive COVID-19 vaccine among the general population using the health belief model and the theory of planned behavior model

    1. Liora Shmueli

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Seasonal Effect of Sunlight on COVID-19 among Countries with and without Lock-Downs

    1. Jose-Luis Sagripanti

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Graphene nanoplatelet and graphene oxide functionalization of face mask materials inhibits infectivity of trapped SARS-CoV-2

    1. Flavio De Maio
    2. Valentina Palmieri
    3. Gabriele Babini
    4. Alberto Augello
    5. Ivana Palucci
    6. Giordano Perini
    7. Alessandro Salustri
    8. Patricia Spilman
    9. Marco De Spirito
    10. Maurizio Sanguinetti
    11. Giovanni Delogu
    12. Laura Giorgia Rizzi
    13. Giulio Cesareo
    14. Patrick Soon-Shiong
    15. Michela Sali
    16. Massimiliano Papi

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Analysis of the outbreak of COVID-19 in Japan on the basis of an SIQR model

    1. Takashi Odagaki

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Self-harm and the COVID-19 pandemic: A study of factors contributing to self-harm during lockdown restrictions

    1. Keith Hawton
    2. Karen Lascelles
    3. Fiona Brand
    4. Deborah Casey
    5. Liz Bale
    6. Jennifer Ness
    7. Samantha Kelly
    8. Keith Waters

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Physical interventions to interrupt or reduce the spread of respiratory viruses. Part 1 - Face masks, eye protection and person distancing: systematic review and meta-analysis

    1. T Jefferson
    2. MA Jones
    3. L Al-Ansary
    4. GA Bawazeer
    5. EM Beller
    6. J Clark
    7. JM Conly
    8. C Del Mar
    9. E Dooley
    10. E Ferroni
    11. P Glasziou
    12. T Hoffmann
    13. S Thorning
    14. ML van Driel

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  7. Risk of rapid evolutionary escape from biomedical interventions targeting SARS-CoV-2 spike protein

    1. Debra Van Egeren
    2. Alexander Novokhodko
    3. Madison Stoddard
    4. Uyen Tran
    5. Bruce Zetter
    6. Michael Rogers
    7. Bradley L. Pentelute
    8. Jonathan M. Carlson
    9. Mark Hixon
    10. Diane Joseph-McCarthy
    11. Arijit Chakravarty

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Age Pattern of Premature Mortality under varying scenarios of COVID-19 Infection in India

    1. Sanjay K Mohanty
    2. Umakanta Sahoo
    3. Udaya S Mishra
    4. Manisha Dubey

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Characteristics of COVID-19 Recurrence: A Systematic Review and Meta-Analysis

    1. Tung Hoang

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Association between participation in the government subsidy programme for domestic travel and symptoms indicative of COVID-19 infection in Japan: cross-sectional study

    1. Atsushi Miyawaki
    2. Takahiro Tabuchi
    3. Yasutake Tomata
    4. Yusuke Tsugawa

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity
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