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.

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Latest preprint reviews

  1. Comparative Survival Analysis of Immunomodulatory Therapy for COVID-19 ‘Cytokine Storm’: A Retrospective Observational Cohort Study

    1. Sonali Narain
    2. Dimitre G. Stefanov
    3. Alice S. Chau
    4. Andrew G. Weber
    5. Galina Marder
    6. Blanka Kaplan
    7. Prashant Malhotra
    8. Ona Bloom
    9. Audrey Liu
    10. Martin L. Lesser
    11. Negin Hajizadeh
    12. Northwell COVID-19 Research Consortium

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Recent and forecast post-COVID trends in hospital activity in England amongst 0 to 24 year olds: analyses using routine hospital administrative data

    1. Joseph Ward
    2. Dougal Hargreaves
    3. Marie Rogers
    4. Alison Firth
    5. Steve Turner
    6. Russell Viner

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Tracheal aspirate with closed suction device: A modified technique developed during the COVID-19 pandemic

    1. Sofía Schverdfinger
    2. Indalecio Carboni Bisso
    3. Romina Famiglietti
    4. Marcelo Di Grazia
    5. Sabrina Di Stefano
    6. Marcos José Las Heras

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. The Impact of COVID-19 Lockdowns on Particulate Matter Emissions in Lombardy and Italian Citizens' Consumption Habits

    1. Alessandro Rovetta

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Global Determinants of Covid-19 Deaths: Lockdown Dates and Social Distancing Measures Mattered

    1. Vince Hooper

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  6. Performance of at-home self-collected saliva and nasal-oropharyngeal swabs in the surveillance of COVID-19

    1. Paulo H. Braz-Silva
    2. Ana C. Mamana
    3. Camila M. Romano
    4. Alvina C. Felix
    5. Anderson V. de Paula
    6. Noeli E Fereira
    7. Lewis F. Buss
    8. Tania R. Tozetto-Mendoza
    9. Rafael A. V. Caixeta
    10. Fabio E. Leal
    11. Regina M. Z. Grespan
    12. João C. S. Bizário
    13. Andrea B. C. Ferraz
    14. Dipak Sapkota
    15. Simone Giannecchini
    16. Kelvin K. To
    17. Alain Doglio
    18. Maria C. Mendes-Correa

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Impact of school closures for COVID-19 on the US health-care workforce and net mortality: a modelling study

    1. Jude Bayham
    2. Eli P Fenichel

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Forecasting undetected COVID-19 cases in Small Island Developing States using Bayesian approach

    1. Andrio Adwibowo

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. A traditional medicine, respiratory detox shot (RDS), inhibits the infection of SARS-CoV, SARS-CoV-2, and the influenza A virus in vitro

    1. Brian Hetrick
    2. Dongyang Yu
    3. Adeyemi A. Olanrewaju
    4. Linda D. Chilin
    5. Sijia He
    6. Deemah Dabbagh
    7. Ghaliah Alluhaibi
    8. Yuan-Chun Ma
    9. Lewis A. Hofmann
    10. Ramin M. Hakami
    11. Yuntao Wu

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. TB Prevalence Influence on Covid-19 Mortality

    1. Tareef Fadhil Raham

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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