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. Coronavirus Disease-19: The First 7,755 Cases in the Republic of Korea

    1. COVID-19 National Emergency Response Center, Epidemiology and Case Management Team, Korea Centers for Disease Control and Prevention

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Predicting of COVID-19 Confirmed Cases in Different Countries with ARIMA Models in 2020

    1. Tania Dehesh
    2. Heydar Ali Mardani-Fard
    3. Paria Dehesh

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Acute myelitis after SARS-CoV-2 infection: a case report

    1. Kang Zhao
    2. Jucun Huang
    3. Dan Dai
    4. Yuwei Feng
    5. Liming Liu
    6. Shuke Nie

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Coronavirus Disease-19: Summary of 2,370 Contact Investigations of the First 30 Cases in the Republic of Korea

    1. COVID-19 National Emergency Response Center, Epidemiology and Case Management Team, Korea Centers for Disease Control and Prevention

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Estimating unobserved SARS-CoV-2 infections in the United States

    1. T. Alex Perkins
    2. Sean M. Cavany
    3. Sean M. Moore
    4. Rachel J. Oidtman
    5. Anita Lerch
    6. Marya Poterek

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Demographic science aids in understanding the spread and fatality rates of COVID-19

    1. Jennifer Beam Dowd
    2. Liliana Andriano
    3. David M. Brazel
    4. Valentina Rotondi
    5. Per Block
    6. Xuejie Ding
    7. Yan Liu
    8. Melinda C. Mills

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. CoViD-19: an automatic, semiparametric estimation method for the population infected in Italy

    1. Livio Fenga

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Transmissibility of coronavirus disease 2019 in Chinese cities with different dynamics of imported cases

    1. Ka Chun Chong
    2. Wei Cheng
    3. Shi Zhao
    4. Feng Ling
    5. Kirran N. Mohammad
    6. Maggie Wang
    7. Benny CY Zee
    8. Lai Wei
    9. Xi Xiong
    10. Hengyan Liu
    11. Jingxuan Wang
    12. Enfu Chen

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. The clinical and epidemiological features and hints of 82 confirmed COVID-19 pediatric cases aged 0-16 in Wuhan, China

    1. Hui Yu
    2. Qinzhen Cai
    3. Xiang Dai
    4. Xiuzhen Liu
    5. Hong Sun

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Highly accurate and sensitive diagnostic detection of SARS-CoV-2 by digital PCR

    1. Lianhua Dong
    2. Junbo Zhou
    3. Chunyan Niu
    4. Quanyi Wang
    5. Yang Pan
    6. Sitong Sheng
    7. Xia Wang
    8. Yongzhuo Zhang
    9. Jiayi Yang
    10. Manqing Liu
    11. Yang Zhao
    12. Xiaoying Zhang
    13. Tao Zhu
    14. Tao Peng
    15. Jie Xie
    16. Yunhua Gao
    17. Di Wang
    18. Xinhua Dai
    19. Xiang Fang

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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