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. Suppression of COVID-19 infection by isolation time control based on the SIR model and an analogy from nuclear fusion research

    1. Osamu Mitarai
    2. Nagato Yanagi

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Staff to staff transmission as a driver of healthcare worker infections with COVID-19

    1. Claire L. Gordon
    2. Jason A. Trubiano
    3. Natasha E. Holmes
    4. Kyra Y.L. Chua
    5. Jeff Feldman
    6. Greg Young
    7. Norelle L. Sherry
    8. M. Lindsay Grayson
    9. Jason C. Kwong

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Optimizing vaccine allocation for COVID-19 vaccines shows the potential role of single-dose vaccination

    1. Laura Matrajt
    2. Julia Eaton
    3. Tiffany Leung
    4. Dobromir Dimitrov
    5. Joshua T. Schiffer
    6. David A. Swan
    7. Holly Janes

    Reviewed by Rapid Reviews Infectious Diseases, ScreenIT

    3 evaluationsAppears in 2 listsLatest version Latest activity

  4. Variation of SARS-CoV-2 viral loads by sample type, disease severity and time: a systematic review

    1. Thomas Edwards
    2. Victor S. Santos
    3. Anne L. Wilson
    4. Ana I. Cubas-Atienzar
    5. Konstantina Kontogianni
    6. Christopher T. Williams
    7. Emily R. Adams
    8. Luis E. Cuevas

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. An antibody-dependent enhancement (ADE) activity eliminated neutralizing antibody with potent prophylactic and therapeutic efficacy against SARS-CoV-2 in rhesus monkeys

    1. Shuang Wang
    2. Yun Peng
    3. Rongjuan Wang
    4. Shasha Jiao
    5. Min Wang
    6. Weijin Huang
    7. Chao Shan
    8. Wen Jiang
    9. Zepeng Li
    10. Chunying Gu
    11. Ben Chen
    12. Xue Hu
    13. Yanfeng Yao
    14. Juan Min
    15. Huajun Zhang
    16. Ying Chen
    17. Ge Gao
    18. Peipei Tang
    19. Gang Li
    20. An Wang
    21. Lan Wang
    22. Shuo Chen
    23. Xun Gui
    24. Jinchao Zhang
    25. Zhiming Yuan
    26. Datao Liu

    Reviewed by ScreenIT

    3 evaluationsAppears in 1 listLatest version Latest activity

  6. Towards a COVID-19 symptom triad: The importance of symptom constellations in the SARS-CoV-2 pandemic

    1. Leander Melms
    2. Evelyn Falk
    3. Bernhard Schieffer
    4. Andreas Jerrentrup
    5. Uwe Wagner
    6. Sami Matrood
    7. Jürgen R. Schaefer
    8. Tobias Müller
    9. Martin Hirsch

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Healthcare worker attendance during the early stages of the COVID-19 pandemic: A longitudinal analysis of fingerprint-verified data from all public-sector secondary and tertiary care facilities in Bangladesh

    1. Duy Do
    2. Malabika Sarker
    3. Simiao Chen
    4. Ali Lenjani
    5. Pauli Tikka
    6. Till Bärnighausen
    7. Pascal Geldsetzer

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Meta-analysis of the clinical performance of commercial SARS-CoV-2 nucleic acid and antibody tests up to 22 August 2020

    1. Ivo Van Walle
    2. Katrin Leitmeyer
    3. Eeva K Broberg
    4. the European COVID-19 microbiological laboratories group

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. The Usefulness of the Test-Positive Proportion of Severe Acute Respiratory Syndrome Coronavirus 2 as a Surveillance Tool

    1. Matt D T Hitchings
    2. Natalie E Dean
    3. Bernardo García-Carreras
    4. Thomas J Hladish
    5. Angkana T Huang
    6. Bingyi Yang
    7. Derek A T Cummings

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Explaining national differences in the mortality of Covid-19: individual patient simulation model to investigate the effects of testing policy and other factors on apparent mortality

    1. Jonathan A Michaels
    2. Matt D Stevenson

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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