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. Estimation of novel coronavirus ( COVID ‐19) reproduction number and case fatality rate: A systematic review and meta‐analysis

    1. Tanvir Ahammed
    2. Aniqua Anjum
    3. Mohammad Meshbahur Rahman
    4. Najmul Haider
    5. Richard Kock
    6. Md Jamal Uddin

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Spike protein disulfide disruption as a potential treatment for SARS-CoV-2

    1. Andrey M. Grishin
    2. Nataliya V. Dolgova
    3. Shelby Harms
    4. Ingrid J. Pickering
    5. Graham N. George
    6. Darryl Falzarano
    7. Miroslaw Cygler

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Expanding COVID-19 symptom screening to retail, restaurants, and schools by preserving privacy using relaxed digital signatures

    1. Brandon Jew
    2. Alexis Korb
    3. Paul Lou
    4. Jeffrey N. Chiang
    5. Ulzee An
    6. Amit Sahai
    7. Eran Halperin
    8. Eleazar Eskin

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Digital CRISPR-based method for the rapid detection and absolute quantification of nucleic acids

    1. Xiaolin Wu
    2. Joshua K. Tay
    3. Chuan Keng Goh
    4. Cheryl Chan
    5. Yie Hou Lee
    6. Stacy L. Springs
    7. De Yun Wang
    8. Kwok Seng Loh
    9. Timothy K. Lu
    10. Hanry Yu

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Factors associated with hospital admission and critical illness among 5279 people with coronavirus disease 2019 in New York City: prospective cohort study

    1. Christopher M Petrilli
    2. Simon A Jones
    3. Jie Yang
    4. Harish Rajagopalan
    5. Luke O’Donnell
    6. Yelena Chernyak
    7. Katie A Tobin
    8. Robert J Cerfolio
    9. Fritz Francois
    10. Leora I Horwitz

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  6. Diffusion segregation and the disproportionate incidence of COVID-19 in African American communities

    1. Aleix Bassolas
    2. Sandro Sousa
    3. Vincenzo Nicosia

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Wastewater Analysis of SARS-CoV-2 as a Predictive Metric of Positivity Rate for a Major Metropolis

    1. L.B. Stadler
    2. K.B. Ensor
    3. J.R. Clark
    4. P. Kalvapalle
    5. Z. W. LaTurner
    6. L. Mojica
    7. A. Terwilliger
    8. Y. Zhuo
    9. P. Ali
    10. V. Avadhanula
    11. R. Bertolusso
    12. T. Crosby
    13. H. Hernandez
    14. M. Hollstein
    15. K. Weesner
    16. D.M. Zong
    17. D. Persse
    18. P.A. Piedra
    19. A.W. Maresso
    20. L. Hopkins

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. AYUSH medicine as add-on therapy for mild category COVID-19; an open label randomised, controlled clinical trial

    1. Anusha Rao
    2. R Ranganatha
    3. G Vikneswaran
    4. C Sagar
    5. R Mathu
    6. M Sherin
    7. Alben sigamani
    8. M. Ravi Kumar Reddy

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Comparing COVID-19 vaccine allocation strategies in India: A mathematical modelling study

    1. Brody H. Foy
    2. Brian Wahl
    3. Kayur Mehta
    4. Anita Shet
    5. Gautam I. Menon
    6. Carl Britto

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. The cost-effectiveness of common strategies for the prevention of transmission of SARS-CoV-2 in universities

    1. Zafar Zafari
    2. Lee Goldman
    3. Katia Kovrizhkin
    4. Peter Alexander Muennig

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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