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. Systematic review and meta-analysis of anakinra, sarilumab, siltuximab and tocilizumab for COVID-19

    1. Fasihul A Khan
    2. Iain Stewart
    3. Laura Fabbri
    4. Samuel Moss
    5. Karen Robinson
    6. Alan Robert Smyth
    7. Gisli Jenkins

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Knowledge and Beliefs of General Public of India on COVID-19: A Cross-sectional Survey

    1.  Rahul Krishna Puvvada
    2. Krishna Undela
    3. Shilpa Palaksha
    4. Balaji Sathyanarayana Gupta

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Survey on Knowledge, Attitude, Perception and Practice among University Students during the COVID-19 Pandemic

    1. Md. Abdul Wadood
    2. ASMA Mamun
    3. Md. Abdur Rafi
    4. Md. Kamrul Islam
    5. Suhaili Mohd
    6. Lai Lee Lee
    7. Saw Aik
    8. Md. Golam Hossain

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. The role of comorbidities and clinical predictors of severe disease in COVID-19: a systematic review and meta-analysis

    1. Reza Tabrizi
    2. Kamran B Lankarani
    3. Peyman Nowrouzi-sohrabi
    4. Mojtaba Shabani-Borujeni
    5. Shahla Rezaei
    6. Mahnaz Hosseini-bensenjan
    7. Sina vakili
    8. Seyed Taghi Heydari
    9. Mohammad Ali Ashraf

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Model the transmission dynamics of COVID-19 propagation with public health intervention

    1. Dejen Ketema Mamo

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Measuring Italian citizens’ engagement in the first wave of the COVID-19 pandemic containment measures: A cross-sectional study

    1. Guendalina Graffigna
    2. Serena Barello
    3. Mariarosaria Savarese
    4. Lorenzo Palamenghi
    5. Greta Castellini
    6. Andrea Bonanomi
    7. Edoardo Lozza

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Heat treatment for reuse of disposable respirators during Covid-19 pandemic: Is filtration and fit adversely affected?

    1. Miranda Loh
    2. Ross Clark
    3. John Cherrie

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. SARS-CoV-2 RNA in wastewater anticipated COVID-19 occurrence in a low prevalence area

    1. Walter Randazzo
    2. Pilar Truchado
    3. Enric Cuevas-Ferrando
    4. Pedro Simón
    5. Ana Allende
    6. Gloria Sánchez

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Chest computed tomography scan findings of coronavirus disease 2019 (COVID-19) patients: a comprehensive systematic review and meta-analysis

    1. Mohammad Karimian
    2. Milad Azami

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Gut microbiota, inflammation, and molecular signatures of host response to infection

    1. Wanglong Gou
    2. Yuanqing Fu
    3. Liang Yue
    4. Geng-Dong Chen
    5. Xue Cai
    6. Menglei Shuai
    7. Fengzhe Xu
    8. Xiao Yi
    9. Hao Chen
    10. Yi Zhu
    11. Mian-Li Xiao
    12. Zengliang Jiang
    13. Zelei Miao
    14. Congmei Xiao
    15. Bo Shen
    16. Xiaomai Wu
    17. Haihong Zhao
    18. Wenhua Ling
    19. Jun Wang
    20. Yu-Ming Chen
    21. Tiannan Guo
    22. Ju-Sheng Zheng

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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