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. WORLDWIDE CASE FATALITY RATIO OF COVID-19 OVER TIME

    1. Rohan Chaubal
    2. Sadhana Kannan
    3. Navin Khattry
    4. Sudeep Gupta

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Covid-19 Pandemic-Related Stress and Coping Strategies Among Adults with Chronic Disease in Southwest Ethiopia

    1. Abel Girma
    2. Ermias Ayalew
    3. Gebremeskel Mesafint

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Implementation and validation of a pooling strategy for a sustainable screening campaign for the presence of SARS-CoV-2

    1. Daniela Cesselli
    2. Michela Bulfoni
    3. Stefania Marzinotto
    4. Barbara Marcon
    5. Sara Cmet
    6. Anna Rosa Cussigh
    7. Angelica Migotti
    8. Romina Martinella
    9. Corrado Pipan
    10. Antonio Paolo Beltrami
    11. Francesco Curcio

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Preventive and therapeutic benefits of nelfinavir in rhesus macaques and human beings infected with SARS-CoV-2

    1. Zhijian Xu
    2. Danrong Shi
    3. Jian-Bao Han
    4. Yun Ling
    5. Xiangrui Jiang
    6. Xiangyun Lu
    7. Chuan Li
    8. Likun Gong
    9. Guangbo Ge
    10. Yani Zhang
    11. Yi Zang
    12. Tian-Zhang Song
    13. Xiao-Li Feng
    14. Ren-Rong Tian
    15. Jia Ji
    16. Miaojin Zhu
    17. Nanping Wu
    18. Chunhui Wu
    19. Zhen Wang
    20. Yechun Xu
    21. Cheng Peng
    22. Min Zheng
    23. Junling Yang
    24. Feifei Du
    25. Junliang Wu
    26. Peipei Wang
    27. Jingshan Shen
    28. Jianliang Zhang
    29. Yong-Tang Zheng
    30. Hangping Yao
    31. Weiliang Zhu

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. An Optimization Framework to Study the Balance Between Expected Fatalities Due to COVID-19 and the Reopening of U.S. Communities

    1. Victoria C. P. Chen
    2. Yuan Zhou
    3. Alireza Fallahi
    4. Amith Viswanatha
    5. Jingmei Yang
    6. Feng Liu
    7. Nilabh S. Ohol
    8. Yasaman Ghasemi
    9. Ashkan Aliabadi Farahani
    10. Jay M. Rosenberger
    11. Jeffrey B. Guild

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Association of COVID-19-imposed lockdown and online searches for toothache in Iran

    1. Ahmad Sofi-Mahmudi
    2. Erfan Shamsoddin
    3. Peyman Ghasemi
    4. Ali Mehrabi Bahar
    5. Mansour Shaban Azad
    6. Ghasem Sadeghi

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Transmission characteristics of the COVID-19 outbreak in China: a study driven by data

    1. Meili Li
    2. Pian Chen
    3. Qianqian Yuan
    4. Baojun Song
    5. Junling Ma

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Classification of the infection status of COVID-19 in 190 countries

    1. Takashi Odagaki
    2. Reiji Suda

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. The Pandemics in Artificial Society Agent-Based Model to Reflect Strategies on COVID-19

    1. Hokky Situngkir
    2. Andhika Bernad Lumbantobing

    Reviewed by ScreenIT

    3 evaluationsAppears in 1 listLatest version Latest activity

  10. Performance of the case definition of suspected influenza before and during the COVID-19 pandemic

    1. E. Murillo-Zamora
    2. C.M. Hernández-Suárez

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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