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. Outbreak of SARS-CoV-2 B.1.617.2 (delta) variant in a nursing home 28 weeks after two doses of mRNA anti-COVID-19 vaccines: evidence of a waning immunity

    1. Alice Pierobon
    2. Alessandra Dal Zotto
    3. Antonio Antico
    4. Mario Ernesto De Antoni
    5. Liviano Vianello
    6. Monica Gennari
    7. Antonio Di Caprio
    8. Francesca Russo
    9. Gianfranco Brambilla
    10. Mario Saugo

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Social mixing patterns in the UK following the relaxation of COVID-19 pandemic restrictions: a cross-sectional online survey

    1. Jessica RE Bridgen
    2. Chris P Jewell
    3. Jonathan M Read

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Early COVID-related Acute Kidney Injury Recovery May Course with Hydroelectrolytic Disorders in Patients With High Risk of Insensible Fluid Loss

    1. Géssica Sabrine Braga Barbosa
    2. Ana Gabriela de Jesus Torres de Melo
    3. Rayra Gomes Ribeiro
    4. Daniela del Pilar Via Reque Cortes
    5. Carla Paulina Sandoval Cabrera
    6. Rubens Santos Andrade Filho
    7. Guilherme Tamborra Pantaroto
    8. Bruno de Castro Paul Schultze
    9. Gilberto Alvarenga Paula
    10. Camila Eleuterio Rodrigues

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. REcovery and SURvival of patients with moderate to severe acute REspiratory distress syndrome (ARDS) due to COVID-19: a multicentre, single-arm, Phase IV Itolizumab Trial: RESURRECT

    1. KR Raveendra
    2. Chirag Rathod
    3. Rahul Darnule
    4. Subramanian Loganathan
    5. Sarika Deodhar
    6. A Radhika
    7. Ashwani Marwah
    8. Nitin M Chaudhari
    9. Binay K Thakur
    10. Sivakumar Vaidyanathan
    11. Sandeep Nilkanth Athalye

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Factors affecting nurses’ duty to care during the COVID-19 pandemic

    1. Hyerine Shin
    2. Kyung hee Kim
    3. Ji-su Kim
    4. Yeun-hee Kwak

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Network analysis of England's single parent household COVID-19 control policy impact: a proof-of-concept study

    1. N. L. Edelman
    2. P. Simon
    3. J. A. Cassell
    4. I. Z. Kiss

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Experiences of and response to the COVID-19 pandemic at private retail pharmacies in Kenya: a mixed-methods study

    1. Peter Mwangi Mugo
    2. Audrey Mumbi
    3. Daniella Munene
    4. Jacinta Nzinga
    5. Sassy Molyneux
    6. Edwine Barasa

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. The Impact of SARS-CoV-2 Lineages (Variants) and COVID-19 Vaccination on the COVID-19 Epidemic in South Africa: Regression Study

    1. Thabo Mabuka
    2. Natalie Naidoo
    3. Nesisa Ncube
    4. Thabo Yiga
    5. Michael Ross
    6. Kuzivakwashe Kurehwa
    7. Mothabisi Nare Nyathi
    8. Andrea Silaji
    9. Tinashe Ndemera
    10. Tlaleng Lemeke
    11. Ridwan Taiwo
    12. Willie Macharia
    13. Mthokozisi Sithole

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Safety and Effectiveness of COVID-19 SPUTNIK V Vaccine in Dialysis Patients

    1. Guillermo Rosa-Diez
    2. María Marina Papaginovic Leiva
    3. Fernando Lombi
    4. María Soledad Crucelegui
    5. Ricardo Dulio Martínez
    6. Hernán Trimarchi
    7. Rubén Schiavelli
    8. Mercedes Grizzo
    9. Miguel Raño
    10. Ricardo M. Heguilén
    11. Rocío Anahí Jones
    12. Luciana Gonzalez Paganti
    13. Matías Ferrrari
    14. Dra. Paula Zingoni
    15. Victoria Kjohede
    16. Jorge Raúl Geffner
    17. Daniel Ferrante
    18. Fernán González Bernaldo de Quirós
    19. Vanina Pagotto

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Leveraging machine learning and self-administered tests to predict COVID-19: An olfactory and gustatory dysfunction assessment through crowd-sourced data in India

    1. Ritesh Kumar
    2. Maneet Singh
    3. Prateek Singh
    4. Valentina Parma
    5. Kathrin Ohla
    6. Shannon B Olsson
    7. Varun Saini
    8. Jyotsna Rani
    9. Kunal Kishore
    10. Priyanka Kumari
    11. Parul Ichhpujani
    12. Anupma Sharma
    13. Saurav Kumar
    14. Manu Sharma
    15. Amol P Bhondekar
    16. Anamika Kothari
    17. Viren Sardana
    18. Sudarshan Iyengar
    19. Debasis Dash
    20. Rishemjit Kaur

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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