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. Propagation analysis and prediction of the COVID-19

    1. Lixiang Li
    2. Zihang Yang
    3. Zhongkai Dang
    4. Cui Meng
    5. Jingze Huang
    6. Hao Tian Meng
    7. Deyu Wang
    8. Guanhua Chen
    9. Jiaxuan Zhang
    10. Haipeng Peng

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Survival-Convolution Models for Predicting COVID-19 Cases and Assessing Effects of Mitigation Strategies

    1. Qinxia Wang
    2. Shanghong Xie
    3. Yuanjia Wang
    4. Donglin Zeng

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  3. Covid-19 Social Distancing Interventions by Statutory Mandate and Their Observational Correlation to Mortality in the United States and Europe

    1. Sean Mccafferty
    2. Sean Ashley

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. The impact of the undetected COVID-19 cases on its transmission dynamics

    1. Sujata Saha
    2. Sumanta Saha

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Assessment of the Publication Trends of COVID-19 Systematic Reviews and Randomized Controlled Trials

    1. Shunsuke Taito
    2. Yuki Kataoka
    3. Takashi Ariie
    4. Shiho Oide
    5. Yasushi Tsujimoto

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Less severe course of COVID-19 is associated with elevated levels of antibodies against seasonal human coronaviruses OC43 and HKU1 (HCoV OC43, HCoV HKU1)

    1. Martin Dugas
    2. Tanja Grote-Westrick
    3. Richard Vollenberg
    4. Eva Lorentzen
    5. Tobias Brix
    6. Hartmut Schmidt
    7. Phil-Robin Tepasse
    8. Joachim Kühn

    Reviewed by Rapid Reviews Infectious Diseases, ScreenIT

    4 evaluationsAppears in 2 listsLatest version Latest activity

  7. Clinical Electroencephalography Findings and Considerations in Hospitalized Patients With Coronavirus SARS-CoV-2

    1. Neishay Ayub
    2. Joseph Cohen
    3. Jin Jing
    4. Aayushee Jain
    5. Ryan Tesh
    6. Shibani S. Mukerji
    7. Sahar F. Zafar
    8. M. Brandon Westover
    9. Eyal Y. Kimchi

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Inverted Covariate Effects for First versus Mutated Second Wave Covid-19: High Temperature Spread Biased for Young

    1. Hervé Seligmann
    2. Siham Iggui
    3. Mustapha Rachdi
    4. Nicolas Vuillerme
    5. Jacques Demongeot

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Impact of Nonpharmaceutical Interventions for Severe Acute Respiratory Syndrome Coronavirus 2 on Norovirus Outbreaks: An Analysis of Outbreaks Reported By 9 US States

    1. Alicia N M Kraay
    2. Peichun Han
    3. Anita K Kambhampati
    4. Mary E Wikswo
    5. Sara A Mirza
    6. Benjamin A Lopman

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. A model to estimate demand for personal protective equipment for Ontario acute care hospitals during the COVID-19 pandemic

    1. Kali A Barrett
    2. Yoshiko Nakamachi
    3. Terra Ierasts
    4. Yasin Khan
    5. Stephen Mac
    6. David Naimark
    7. Nathan Stall
    8. Raphael Ximenes
    9. Andrew Morris
    10. Beate Sander

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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