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. Pre-outbreak determinants of perceived risks of corona infection and preventive measures taken. A prospective population-based study

    1. Peter G. van der Velden
    2. Miquelle Marchand
    3. Boukje Cuelenaere
    4. Marcel Das

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Synchronized travel restrictions across cities can be effective in COVID-19 control

    1. Haiyan Liu
    2. Xuemei Bai
    3. Huanfeng Shen
    4. Xiaoping Pang
    5. Zeyu Liang
    6. Yue Liu

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Inferring change points in the spread of COVID-19 reveals the effectiveness of interventions

    1. Jonas Dehning
    2. Johannes Zierenberg
    3. F. Paul Spitzner
    4. Michael Wibral
    5. Joao Pinheiro Neto
    6. Michael Wilczek
    7. Viola Priesemann

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Pressure-Regulated Ventilator Splitting (PReVentS) – A COVID-19 Response Paradigm from Yale University

    1. Micha Sam Brickman Raredon
    2. Clark Fisher
    3. Paul Heerdt
    4. Ranjit Deshpande
    5. Steven Nivison
    6. Elaine Fajardo
    7. Shamsuddin Akhtar
    8. Thomas Raredon
    9. Laura Niklason

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Covid-19 and Maternal and Infant Health: Are We Getting the Balance Right? A Rapid Scoping Review

    1. Anastasia Topalidou
    2. Gill Thomson
    3. Soo Downe

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Impact of viral epidemic outbreaks on mental health of healthcare workers: a rapid systematic review and meta-analysis

    1. Maria J. Serrano-Ripoll
    2. Jose F. Meneses-Echavez
    3. Ignacio Ricci-Cabello
    4. David Fraile-Navarro
    5. Maria A. Fiol-deRoque
    6. Guadalupe Pastor-Moreno
    7. Adoración Castro
    8. Isabel Ruiz-Pérez
    9. Rocío Zamanillo Campos
    10. Daniela C. Gonçalves-Bradley

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Classification of Coronavirus Images using Shrunken Features

    1. Saban Ozturk
    2. Umut Ozkaya
    3. Mucahid Barstugan

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Ultra-High-Resolution CT Follow-Up in Patients with Imported Early-Stage Coronavirus Disease 2019 (COVID-19) Related Pneumonia

    1. Yu Lin
    2. Shaomao Lv
    3. Jinan Wang
    4. Jianghe Kang
    5. Youbin Zhang
    6. Zhipeng Feng

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Using discrete Ricci curvatures to infer COVID-19 epidemic network fragility and systemic risk

    1. Danillo Barros de Souza
    2. Jonatas T S da Cunha
    3. Everlon Figueirôa dos Santos
    4. Jailson B Correia
    5. Hernande P da Silva
    6. José Luiz de Lima Filho
    7. Jones Albuquerque
    8. Fernando A N Santos

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Predicting clinical needs derived from the COVID-19 pandemic: the case of Spain

    1. Luis Angel Hierro
    2. Antonio José Garzón
    3. Pedro Atienza
    4. José Luis Márquez

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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