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. Explaining Ethnic Differentials in COVID-19 Mortality: A Cohort Study

    1. G David Batty
    2. Bamba Gaye
    3. Catharine R Gale
    4. Mark Hamer
    5. Camille Lassale

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Association of pre-pandemic high-density lipoprotein cholesterol with risk of COVID-19 hospitalisation and death: The UK Biobank cohort study

    1. Camille Lassale
    2. Mark Hamer
    3. Álvaro Hernáez
    4. Catharine R. Gale
    5. G. David Batty

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Did people really drink bleach to prevent COVID-19? A tale of problematic respondents and a guide for measuring rare events in survey data

    1. Leib Litman
    2. Zohn Rosen
    3. Cheskie Rosenzweig
    4. Sarah L. Weinberger-Litman
    5. Aaron J. Moss
    6. Jonathan Robinson

    Reviewed by Rapid Reviews Infectious Diseases, ScreenIT

    3 evaluationsAppears in 2 listsLatest version Latest activity

  4. Quantifying the impacts of human mobility restriction on the spread of coronavirus disease 2019: an empirical analysis from 344 cities of China

    1. Jing Tan
    2. Shao-Yang Zhao
    3. Yi-Quan Xiong
    4. Chun-Rong Liu
    5. Shi-Yao Huang
    6. Xin Lu
    7. Lehana Thabane
    8. Feng Xie
    9. Xin Sun
    10. Wei-Min Li

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Monitoring and predicting viral dynamics in SARS-CoV-2-infected Patients

    1. Shaoqing Wen
    2. Jianxue Xiong
    3. Chang Sun
    4. Barnaby Edward Young
    5. David Chien Lye
    6. Yee Sin Leo
    7. Li Jin
    8. Yi Wang

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Long-term survival of salmon-attached SARS-CoV-2 at 4°C as a potential source of transmission in seafood markets

    1. Manman Dai
    2. Huanan Li
    3. Nan Yan
    4. Jinyu Huang
    5. Li Zhao
    6. Siqi Xu
    7. Shibo Jiang
    8. Chungen Pan
    9. Ming Liao

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Uncertainty Reduction in Logistic Growth Regression Using Surrogate Systems Carrying Capacities: a COVID-19 Case Study

    1. Bruno Hebling Vieira
    2. Nathalia Hanna Hiar
    3. George C. Cardoso

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Stochastic discrete epidemic modeling of COVID-19 transmission in the Province of Shaanxi incorporating public health intervention and case importation

    1. Sanyi Tang
    2. Biao Tang
    3. Nicola Luigi Bragazzi
    4. Fan Xia
    5. Tangjuan Li
    6. Sha He
    7. Pengyu Ren
    8. Xia Wang
    9. Zhihang Peng
    10. Yanni Xiao
    11. Jianhong Wu

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Multicentre service evaluation of presentation of newly diagnosed cancers and type 1 diabetes in children in the UK during the COVID-19 pandemic

    1. Gemma Williams
    2. Ross McLean
    3. Jo-Fen Liu
    4. Timothy A Ritzmann
    5. Madhumita Dandapani
    6. Dhurgshaarna Shanmugavadivel
    7. Pooja Sachdev
    8. Mark Brougham
    9. Rod T Mitchell
    10. Nicholas T Conway
    11. James Law
    12. Alice Cunnington
    13. Gbemi Ogunnaike
    14. Karen Brougham
    15. Elizabeth Bayman
    16. David Walker

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Disparities in COVID-19 Related Mortality in U.S. Prisons and the General Population

    1. Kathryn M. Nowotny
    2. David Cloud
    3. Alysse G. Wurcel
    4. Lauren Brinkley-Rubinstein

    Reviewed by Rapid Reviews Infectious Diseases, ScreenIT

    3 evaluationsAppears in 2 listsLatest version Latest activity
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