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. Covid-19 in end-stage renal disease patients with renal replacement therapies: A systematic review and meta-analysis

    1. Tanawin Nopsopon
    2. Jathurong Kittrakulrat
    3. Kullaya Takkavatakarn
    4. Thanee Eiamsitrakoon
    5. Talerngsak Kanjanabuch
    6. Krit Pongpirul

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Use of Unofficial Newspaper Data for COVID-19 Death Surveillance

    1. Mazbahul G. Ahamad
    2. Monir U. Ahmed
    3. Byomkesh Talukder
    4. Fahian Tanin

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Forecasting virus outbreaks with social media data via neural ordinary differential equations

    1. Matías Núñez
    2. Nadia L. Barreiro
    3. Rafael A. Barrio
    4. Christopher Rackauckas

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Which policies most effectively reduce SARS-CoV-2 transmission in schools?

    1. Anna Bershteyn
    2. Hae-Young Kim
    3. Jessica McGillen
    4. R. Scott Braithwaite

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Transmission potential of the novel coronavirus (COVID-19) onboard the Diamond Princess Cruises Ship, 2020

    1. Kenji Mizumoto
    2. Gerardo Chowell

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Review of clinical characteristics and laboratory findings of COVID-19 in children-Systematic review and Meta-analysis

    1. Harmeet Kaur Kharoud
    2. Rizwana Asim
    3. Lianne Siegel
    4. Lovepreet Chahal
    5. Gagan Deep Singh

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Comparing biomarkers for COVID-19 disease with commonly associated preexisting conditions and complications

    1. Jesse Huang

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Face covering adherence is positively associated with better mental health and wellbeing: a longitudinal analysis of the CovidLife surveys

    1. Drew Altschul
    2. Chloe Fawns-Ritchie
    3. Alex Kwong
    4. Louise Hartley
    5. Clifford Nangle
    6. Rachel Edwards
    7. Rebecca Dawson
    8. Christie Levein
    9. Archie Campbell
    10. Robin Flaig
    11. Andrew McIntosh
    12. Ian Deary
    13. Riccardo Marioni
    14. Caroline Hayward
    15. Cathie Sudlow
    16. Elaine Douglas
    17. David Bell
    18. David Porteous

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Chronic treatment with hydroxychloroquine and SARS‐CoV‐2 infection

    1. António Ferreira
    2. António Oliveira‐e‐Silva
    3. Paulo Bettencourt

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  10. Geospatial correlation between COVID-19 health misinformation and poisoning with household cleaners in the Greater Boston Area

    1. Michael A. Chary
    2. Daniel L. Overbeek
    3. Alexandria Papadimoulis
    4. Adina Sheroff
    5. Michele M. Burns

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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