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. Comparative analysis of three point-of-care lateral flow immunoassays for detection of anti-SARS-CoV-2 antibodies: data from 100 healthcare workers in Brazil

    1. Danielle Dias Conte
    2. Joseane Mayara Almeida Carvalho
    3. Luciano Kleber de Souza Luna
    4. Klinger Soares Faíco-Filho
    5. Ana Helena Perosa
    6. Nancy Bellei

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Binding and Neutralization Antibody Titers After a Single Vaccine Dose in Health Care Workers Previously Infected With SARS-CoV-2

    1. Saman Saadat
    2. Zahra Rikhtegaran Tehrani
    3. James Logue
    4. Michelle Newman
    5. Matthew B. Frieman
    6. Anthony D. Harris
    7. Mohammad M. Sajadi

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Chasing the ghost of infection past: identifying thresholds of change during the COVID-19 infection in Spain

    1. Luis Santamaría
    2. Joaquín Hortal

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Participatory syndromic surveillance as a tool for tracking COVID-19 in Bangladesh

    1. Ayesha S. Mahmud
    2. Shayan Chowdhury
    3. Kawsar Hossain Sojib
    4. Anir Chowdhury
    5. Md. Tanvir Quader
    6. Sangita Paul
    7. Md. Sheikh Saidy
    8. Ramiz Uddin
    9. Kenth Engø-Monsen
    10. Caroline O. Buckee

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Social distancing measures: barriers to their implementation and how they can be overcome – a systematic review

    1. Mahan Sadjadi
    2. Katharina S Mörschel
    3. Mark Petticrew

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Predictors of severe symptomatic laboratory-confirmed SARS-CoV-2 reinfection

    1. E. Murillo-Zamora
    2. O. Mendoza-Cano
    3. I. Delgado-Enciso
    4. C.M. Hernandez-Suarez

    Reviewed by ScreenIT

    3 evaluationsAppears in 1 listLatest version Latest activity

  7. Origin of imported SARS-CoV-2 strains in The Gambia identified from whole genome sequences

    1. Abdoulie Kanteh
    2. Jarra Manneh
    3. Sona Jabang
    4. Mariama A. Kujabi
    5. Bakary Sanyang
    6. Mary A. Oboh
    7. Abdoulie Bojang
    8. Haruna S. Jallow
    9. Davis Nwakanma
    10. Ousman Secka
    11. Anna Roca
    12. Alfred Amambua-Ngwa
    13. Martin Antonio
    14. Ignatius Baldeh
    15. Karen Forrest
    16. Ahmadou Lamin Samateh
    17. Umberto D’Alessandro
    18. Abdul Karim Sesay

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  8. Nurses' burnout and associated risk factors during the COVID‐19 pandemic: A systematic review and meta‐analysis

    1. Petros Galanis
    2. Irene Vraka
    3. Despoina Fragkou
    4. Angeliki Bilali
    5. Daphne Kaitelidou

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Oxygen saturation instability in suspected covid-19 patients; contrasting effects of reduced V A /Q and shunt

    1. J.Gareth Jones

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Wide variabilities identified among spike proteins of SARS Cov2 globally-dominant variant identified

    1. Abantika Pal
    2. Aruna Pal

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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