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. Transmission of SARS-CoV-2 following exposure in school settings: experience from two Helsinki area exposure incidents.

    1. Timothee Dub
    2. Elina Erra
    3. Lotta Hagberg
    4. Emmi Sarvikivi
    5. Camilla Virta
    6. Asko Järvinen
    7. Pamela Österlund
    8. Niina Ikonen
    9. Anu Haveri
    10. Merit Melin
    11. Timo Lukkarinen
    12. Hanna Nohynek

    Reviewed by ScreenIT

    3 evaluationsAppears in 1 listLatest version Latest activity

  2. Virucidal and antiviral activity of astodrimer sodium against SARS-CoV-2 in vitro

    1. Jeremy R.A. Paull
    2. Graham P. Heery
    3. Michael D. Bobardt
    4. Alex Castellarnau
    5. Carolyn A. Luscombe
    6. Jacinth K. Fairley
    7. Philippe A. Gallay

    Reviewed by Rapid Reviews Infectious Diseases, ScreenIT

    3 evaluationsAppears in 2 listsLatest version Latest activity

  3. Wave-wise comparative genomic study for revealing the complete scenario and dynamic nature of COVID-19 pandemic in Bangladesh

    1. Ishtiaque Ahammad
    2. Mohammad Uzzal Hossain
    3. Anisur Rahman
    4. Zeshan Mahmud Chowdhury
    5. Arittra Bhattacharjee
    6. Keshob Chandra Das
    7. Chaman Ara Keya
    8. Md. Salimullah

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Mathematical prediction of the time evolution of the COVID-19 pandemic in Italy by a Gauss error function and Monte Carlo simulations

    1. Ignazio Ciufolini
    2. Antonio Paolozzi

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Forecasting the COVID-19 Pandemic in Saudi Arabia Using a Modified Singular Spectrum Analysis Approach: Model Development and Data Analysis

    1. Nader Alharbi

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Platelet-to-lymphocyte ratio, a novel biomarker to predict the severity of COVID-19 patients: A systematic review and meta-analysis

    1. Daniel Martin Simadibrata
    2. Bashar Adi Wahyu Pandhita
    3. Muammar Emir Ananta
    4. Tamara Tango

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Risk of stress/depression and functional impairment in Denmark immediately following a COVID-19 shutdown

    1. Lars H. Andersen
    2. Peter Fallesen
    3. Tim A. Bruckner

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. SARS-CoV-2 Testing of 11,884 Healthcare Workers at an Acute NHS Hospital Trust in England: A Retrospective Analysis

    1. Aidan T. Hanrath
    2. Ina Schim van der Loeff
    3. Dennis W. Lendrem
    4. Kenneth F. Baker
    5. David A. Price
    6. Peter McDowall
    7. Kiera McDowall
    8. Susan Cook
    9. Peter Towns
    10. Ulrich Schwab
    11. Adam Evans
    12. Jill Dixon
    13. Jennifer Collins
    14. Shirelle Burton-Fanning
    15. David Saunders
    16. Jayne Harwood
    17. Julie Samuel
    18. Matthias L. Schmid
    19. Lucia Pareja-Cebrian
    20. Ewan Hunter
    21. Elizabeth Murphy
    22. Yusri Taha
    23. Brendan A. I. Payne
    24. Christopher J. A. Duncan

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Simulating SARS-CoV-2 epidemics by region-specific variables and modeling contact tracing app containment

    1. Alberto Ferrari
    2. Enrico Santus
    3. Davide Cirillo
    4. Miguel Ponce-de-Leon
    5. Nicola Marino
    6. Maria Teresa Ferretti
    7. Antonella Santuccione Chadha
    8. Nikolaos Mavridis
    9. Alfonso Valencia

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Sewage surveillance for the presence of SARS-CoV-2 genome as a useful wastewater based epidemiology (WBE) tracking tool in India

    1. Sudipti Arora
    2. Aditi Nag
    3. Jasmine Sethi
    4. Jayana Rajvanshi
    5. Sonika Saxena
    6. Sandeep K. Shrivastava
    7. A. B. Gupta

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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