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. Neighborhood-Level Public Facilities and COVID-19 Transmission: A Nationwide Geospatial Study In China

    1. Xurui Jin
    2. Yu Leng
    3. Enying Gong
    4. Shangzhi Xiong
    5. Yao Yao
    6. Rajesh Vedanthan
    7. Chenkai Wu
    8. Lijing L. Yan

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. The SARS-CoV-2 Spike variant D614G favors an open conformational state

    1. Rachael A. Mansbach
    2. Srirupa Chakraborty
    3. Kien Nguyen
    4. David C. Montefiori
    5. Bette Korber
    6. S. Gnanakaran

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. COVID-19 Misinformation Trends in Australia: Prospective Longitudinal National Survey

    1. Kristen Pickles
    2. Erin Cvejic
    3. Brooke Nickel
    4. Tessa Copp
    5. Carissa Bonner
    6. Julie Leask
    7. Julie Ayre
    8. Carys Batcup
    9. Samuel Cornell
    10. Thomas Dakin
    11. Rachael H Dodd
    12. Jennifer M J Isautier
    13. Kirsten J McCaffery

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Exploring surveillance data biases when estimating the reproduction number: with insights into subpopulation transmission of COVID-19 in England

    1. Katharine Sherratt
    2. Sam Abbott
    3. Sophie R. Meakin
    4. Joel Hellewell
    5. James D. Munday
    6. Nikos Bosse
    7. CMMID COVID-19 Working Group
    8. Mark Jit
    9. Sebastian Funk

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Correlation between daily infections and fatality rate due to Covid-19 in Germany

    1. Dieter Mergel

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Neonatal hyperoxia enhances age-dependent expression of SARS-CoV-2 receptors in mice

    1. Min Yee
    2. E. David Cohen
    3. Jeannie Haak
    4. Andrew M. Dylag
    5. Michael A. O’Reilly

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Panbio™ rapid antigen test for SARS-CoV-2 has acceptable accuracy in symptomatic patients in primary health care

    1. Oana Bulilete
    2. Patricia Lorente
    3. Alfonso Leiva
    4. Eugenia Carandell
    5. Antonio Oliver
    6. Estrella Rojo
    7. Pau Pericas
    8. Joan Llobera

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Long period dynamics of viral load and antibodies for SARS-CoV-2 infection: an observational cohort study

    1. Jianping Huang
    2. Tingting Mao
    3. Shufei Li
    4. Lianpeng Wu
    5. Xueqin Xu
    6. Huanzheng Li
    7. Chenyang Xu
    8. Feifei Su
    9. Jianyi Dai
    10. Jichan Shi
    11. Jing Cai
    12. Chongquan Huang
    13. Xuan Lin
    14. Dong Chen
    15. XiaoLing Lin
    16. Baochang Sun
    17. Shaohua Tang

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  9. Mitigation policies and vaccination in the COVID-19 pandemic: a modelling study

    1. Naiara C.M. Valiati
    2. Daniel A.M. Villela

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. A prospect on the use of antiviral drugs to control local outbreaks of COVID-19

    1. Andrea Torneri
    2. Pieter Libin
    3. Joris Vanderlocht
    4. Anne-Mieke Vandamme
    5. Johan Neyts
    6. Niel Hens

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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