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. Colorimetric Test for Fast Detection of SARS-CoV-2 in Nasal and Throat Swabs

    1. Bartolomeo Della Ventura
    2. Michele Cennamo
    3. Antonio Minopoli
    4. Raffaele Campanile
    5. Sergio Bolletti Censi
    6. Daniela Terracciano
    7. Giuseppe Portella
    8. Raffaele Velotta

    Reviewed by Rapid Reviews Infectious Diseases, ScreenIT

    3 evaluationsAppears in 2 listsLatest version Latest activity

  2. Incidence and Relative Risk of infection with SARS-CoV-2 virus in European Soccer Players

    1. Thomas B. Andersen
    2. Andreas B. Dahl
    3. Jeppe B. Carstensen

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Household Secondary Attack Rate in Gandhinagar district of Gujarat state from Western India

    1. Komal Shah
    2. Nupur Desai
    3. Deepak Saxena
    4. Dileep Mavalankar
    5. Umang Mishra
    6. G C Patel

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Machine Learning–Based Prediction of Growth in Confirmed COVID-19 Infection Cases in 114 Countries Using Metrics of Nonpharmaceutical Interventions and Cultural Dimensions: Model Development and Validation

    1. Arnold YS Yeung
    2. Francois Roewer-Despres
    3. Laura Rosella
    4. Frank Rudzicz

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Determinants of in-hospital mortality in COVID-19; a prospective cohort study from Pakistan

    1. Samreen Sarfaraz
    2. Quratulain Shaikh
    3. Syed Ghazanfar Saleem
    4. Anum Rahim
    5. Fivzia Farooq Herekar
    6. Samina Junejo
    7. Aneela Hussain

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Effectiveness of an Ozone Disinfecting and Sanitizing Cabinet to Decontaminate a Surrogate Virus for SARS-CoV-2 on N-95 Masks

    1. Megan S. Beaudry
    2. Julia C. Frederick
    3. Megan E. J. Lott
    4. William A. Norfolk
    5. Travis C. Glenn
    6. Erin K. Lipp

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Covid19 infection spread in Greece: Ensemble forecasting models with statistically calibrated parameters and stochastic noise

    1. Georgios D. Politis
    2. Leontios Hadjileontiadis

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Would India Really Touch the Peak of SARS COVID 19 Cases or Deaths in Near Future?

    1. Pramod K. Gupta

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Infection fatality rate of COVID-19 inferred from seroprevalence data

    1. John P A Ioannidis

    Reviewed by ScreenIT, Rapid Reviews Infectious Diseases

    6 evaluationsAppears in 2 listsLatest version Latest activity

  10. Prevalence and Clinical Profile of Severe Acute Respiratory Syndrome Coronavirus 2 Infection among Farmworkers, California, USA, June–November 2020

    1. Joseph A. Lewnard
    2. Ana M. Mora
    3. Oguchi Nkwocha
    4. Katherine Kogut
    5. Stephen A. Rauch
    6. Norma Morga
    7. Samantha Hernandez
    8. Marcus P. Wong
    9. Karen Huen
    10. Kristin Andrejko
    11. Nicholas P. Jewell
    12. Kimberly L. Parra
    13. Nina Holland
    14. Eva Harris
    15. Maximiliano Cuevas
    16. Brenda Eskenazi
    17. on behalf of the CHAMACOS-Project-19 Study Team2

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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