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. Toward Achieving a Vaccine-Derived Herd Immunity Threshold for COVID-19 in the U.S.

    1. Abba B. Gumel
    2. Enahoro A. Iboi
    3. Calistus N. Ngonghala
    4. Gideon A. Ngwa

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Application of ARIMA and Holt-Winters forecasting model to predict the spreading of COVID-19 for India and its states

    1. Mrutyunjaya Panda

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Frontline healthcare workers’ experiences with personal protective equipment during the COVID-19 pandemic in the UK: a rapid qualitative appraisal

    1. Katarina Hoernke
    2. Nehla Djellouli
    3. Lily Andrews
    4. Sasha Lewis-Jackson
    5. Louisa Manby
    6. Sam Martin
    7. Samantha Vanderslott
    8. Cecilia Vindrola-Padros

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Corticosteroid Pulses for Hospitalized Patients with COVID‐19: Effects on Mortality

    1. Ivan Cusacovich
    2. Álvaro Aparisi
    3. Miguel Marcos
    4. Cristina Ybarra-Falcón
    5. Carolina Iglesias-Echevarria
    6. Maria Lopez-Veloso
    7. Julio Barraza-Vengoechea
    8. Carlos Dueñas
    9. Santiago Antonio Juarros Martínez
    10. Beatriz Rodríguez-Alonso
    11. José-Ángel Martín-Oterino
    12. Miguel Montero-Baladia
    13. Leticia Moralejo
    14. David Andaluz-Ojeda
    15. Roberto Gonzalez-Fuentes

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Covid19, 2020 - a tutorial of sorts on reading data

    1. Isaac Meilijson

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Identification of potential coagulation pathway abnormalities in SARS-Cov-2 infection; insights from bioinformatics analysis

    1. Sareh Arjmand
    2. Nazanin Hosseinkhan

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Experiences of Women Who Gave Birth in US Hospitals During the COVID-19 Pandemic

    1. Elizabeth Mollard
    2. Amaya Wittmaack

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. An analysis of mortality in Ontario using cremation data: Rise in cremations during the COVID-19 pandemic

    1. Gemma Postill
    2. Regan Murray
    3. Andrew S. Wilton
    4. Richard A. Wells
    5. Renee Sirbu
    6. Mark J. Daley
    7. Laura C Rosella

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Temporal Associations between Community Incidence of COVID-19 and Nursing Home Outbreaks in Ontario, Canada

    1. Kamil Malikov
    2. Qing Huang
    3. Shengli Shi
    4. Nathan M. Stall
    5. Ashleigh R. Tuite
    6. Michael P. Hillmer

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Vitamin D deficiency as risk factor for severe COVID-19: a convergence of two pandemics

    1. D. De Smet
    2. K. De Smet
    3. P. Herroelen
    4. S. Gryspeerdt
    5. G.A. Martens

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity
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