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. Prognosis and hematological findings in patients with COVID-19 in an Amazonian population of Peru

    1. Sebastian Iglesias-Osores
    2. Arturo Rafael-Heredia
    3. Eric Ricardo Rojas-Tello
    4. Washington A. Ortiz-Uribe
    5. Leveau-Bartra Walter Román
    6. Leveau-Bartra Orison Armando
    7. Alcántara-Mimbela Miguel
    8. Lizbeth M. Córdova-Rojas
    9. Elmer López-López
    10. Virgilio E. Failoc-Rojas

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Optimising social mixing strategies to mitigate the impact of COVID-19 in six European countries: a mathematical modelling study

    1. Romain Ragonnet
    2. Guillaume Briffoteaux
    3. Bridget M. Williams
    4. Julian Savulescu
    5. Matthew Segal
    6. Milinda Abayawardana
    7. Rosalind M. Eggo
    8. Daniel Tuyttens
    9. Nouredine Melab
    10. Ben J. Marais
    11. Emma S. McBryde
    12. James M. Trauer

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  3. Early Phasic Containment of COVID-19 in Substantially Affected States of India

    1. Manisha Mandal
    2. Shyamapada Mandal

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Ethical and psychosocial considerations for hospital personnel in the Covid-19 crisis: Moral injury and resilience

    1. Alexander Kreh
    2. Rachele Brancaleoni
    3. Sabina Chiara Magalini
    4. Daniela Pia Rosaria Chieffo
    5. Barbara Flad
    6. Nils Ellebrecht
    7. Barbara Juen

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. SARS-CoV-2 infection of circulating immune cells is not responsible for virus dissemination in severe COVID-19 patients

    1. Nicole L. Rosin
    2. Arzina Jaffer
    3. Sarthak Sinha
    4. Rory P. Mulloy
    5. Carolyn Robinson
    6. Elodie Labit
    7. Luiz G. Almeida
    8. Antoine Dufour
    9. Jennifer A. Corcoran
    10. Bryan Yipp
    11. Jeff Biernaskie

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. COVID-19: Data-Driven Mean-Field-Type Game Perspective

    1. Hamidou Tembine

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Comparison of the coronavirus pandemic dynamics in Europe, USA and South Korea

    1. Igor Nesteruk

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. The Short- and Long-Range RNA-RNA Interactome of SARS-CoV-2

    1. Omer Ziv
    2. Jonathan Price
    3. Lyudmila Shalamova
    4. Tsveta Kamenova
    5. Ian Goodfellow
    6. Friedemann Weber
    7. Eric A. Miska

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. How do environmental, economic and health factors influence regional vulnerability to COVID-19?

    1. Pejman Tahmasebi
    2. Salome M.S. Shokri-Kuehni
    3. Muhammad Sahimi
    4. Nima Shokri

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Salivary anti-SARS-CoV-2 IgA as an accessible biomarker of mucosal immunity against COVID-19

    1. Atul Varadhachary
    2. Dev Chatterjee
    3. Javier Garza
    4. R. Patrick Garr
    5. Christopher Foley
    6. Andrea Letkeman
    7. John Dean
    8. David Haug
    9. Juliet Breeze
    10. Robbyn Traylor
    11. Andrew Malek
    12. Rohan Nath
    13. Leo Linbeck

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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