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. Does HIV impact susceptibility to COVID-19 (SARS-CoV-2) infection and pathology? A review of the current literature

    1. Elnara Aghakishiyeva
    2. Derek Macallan

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Evaluating the effects of re-opening plans on dynamics of COVID-19 in São Paulo, Brazil 1

    1. F.A. Rubio
    2. T.N. Vilches

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Clinical diagnosis of COVID-19. A multivariate logistic regression analysis of symptoms of COVID-19 at presentation

    1. Pedro E Fleitas
    2. Jorge A Paz
    3. Mario I Simoy
    4. Carlos Vargas
    5. Rubén O Cimino
    6. Alejandro J Krolewiecki
    7. Juan P Aparicio

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Predictive Modelling of COVID-19 New Cases in Algeria using An Extreme Learning Machines (ELM)

    1. Messaoud Djeddou
    2. Ibrahim A. Hameed
    3. Abolfazl Nejatian
    4. Imed Loukam

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Affected medical services in Iwate prefecture in the absence of a COVID-19 outbreak

    1. Noriyuki Sasaki
    2. Satoshi S. Nishizuka

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Epidemiological characterization of symptomatic and asymptomatic COVID-19 cases and positivity in subsequent RT-PCR tests in the United Arab Emirates

    1. Rami H. Al-Rifai
    2. Juan Acuna
    3. Farida Ismail Al Hossany
    4. Bashir Aden
    5. Shamma Abdullah Al Memari
    6. Shereena Khamis Al Mazrouei
    7. Luai A. Ahmed

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Risk for International Importations of Variant SARS-CoV-2 Originating in the United Kingdom

    1. Zhanwei Du
    2. Lin Wang
    3. Bingyi Yang
    4. Sheikh Taslim Ali
    5. Tim K. Tsang
    6. Songwei Shan
    7. Peng Wu
    8. Eric H.Y. Lau
    9. Benjamin J. Cowling
    10. Lauren Ancel Meyers

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Epidemiology and transmission dynamics of COVID-19 in two Indian states

    1. Ramanan Laxminarayan
    2. Brian Wahl
    3. Shankar Reddy Dudala
    4. K. Gopal
    5. Chandra Mohan B
    6. S. Neelima
    7. K. S. Jawahar Reddy
    8. J. Radhakrishnan
    9. Joseph A. Lewnard

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  9. Analysis and prediction of COVID-19 spreading through Bayesian modelling with a case study of Uttar Pradesh, India

    1. Deepmala
    2. Nishant Kumar Srivastava
    3. Sanjay Kumar Singh
    4. Umesh Singh

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Real-time optical analysis of a colorimetric LAMP assay for SARS-CoV-2 in saliva with a handheld instrument improves accuracy compared with endpoint assessment

    1. Lena M. Diaz
    2. Brandon E. Johnson
    3. Daniel M. Jenkins

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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