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. Global diversity of policy, coverage, and demand of COVID-19 vaccines: a descriptive study

    1. Zhiyuan Chen
    2. Wen Zheng
    3. Qianhui Wu
    4. Xinghui Chen
    5. Cheng Peng
    6. Yuyang Tian
    7. Ruijia Sun
    8. Jiayi Dong
    9. Minghan Wang
    10. Xiaoyu Zhou
    11. Zeyao Zhao
    12. Guangjie Zhong
    13. Xuemei Yan
    14. Nuolan Liu
    15. Feiran Hao
    16. Sihong Zhao
    17. Tingyu Zhuang
    18. Juan Yang
    19. Andrew S. Azman
    20. Hongjie Yu

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Rapid surveillance platforms for key SARS-CoV-2 mutations in Denmark

    1. Katja Spiess
    2. Vithiagaran Gunalan
    3. Ellinor Marving
    4. Sofie Holdflod Nielsen
    5. Michelle G. P. Jørgensen
    6. Anna S. Fomsgaard
    7. Line Nielsen
    8. Alonzo Alfaro-Núñez
    9. Søren M. Karst
    10. The Danish COVID-19 Genome Consortium (DCGC)
    11. Shila Mortensen
    12. Morten Rasmussen
    13. Ria Lassaunière
    14. Maiken Worsøe Rosenstierne
    15. Charlotta Polacek
    16. Jannik Fonager
    17. Arieh S. Cohen
    18. Claus Nielsen
    19. Anders Fomsgaard

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Virtual reality intervention alleviates dyspnea in patients recovering from COVID pneumonia

    1. Betka Sophie
    2. Kannape Oliver Alan
    3. Fasola Jemina
    4. Lance Florian
    5. Cardin Sylvain
    6. Schmid Aline
    7. Similowski Thomas
    8. Soccal Paola Marina
    9. Herbelin Bruno
    10. Adler Dan
    11. Blanke Olaf

    Reviewed by Rapid Reviews Infectious Diseases, ScreenIT

    4 evaluationsAppears in 2 listsLatest version Latest activity

  4. A biological variation-based approach to the day-to-day changes of D-dimer, Fibrinogen, and Ferritin levels that are crucial in the clinical course of COVID-19 in healthy smokers and non-smokers

    1. Aydın Balci
    2. Muhammed Emin Düz
    3. Elif Menekşe

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Regional probabilistic situational awareness and forecasting of COVID-19

    1. Solveig Engebretsen
    2. Alfonso Diz-Lois Palomares
    3. Gunnar Rø
    4. Anja Bråthen Kristoffersen
    5. Jonas Christoffer Lindstrøm
    6. Kenth Engø-Monsen
    7. Louis Yat Hin Chan
    8. Ørjan Dale
    9. Jørgen Eriksson Midtbø
    10. Kristian Lindalen Stenerud
    11. Francesco Di Ruscio
    12. Richard White
    13. Arnoldo Frigessi
    14. Birgitte Freiesleben de Blasio

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Trends in social exposure to SARS-Cov-2 in France. Evidence from the national socio-epidemiological cohort–EPICOV

    1. Josiane Warszawski
    2. Laurence Meyer
    3. Jeanna-Eve Franck
    4. Delphine Rahib
    5. Nathalie Lydié
    6. Anne Gosselin
    7. Emilie Counil
    8. Robin Kreling
    9. Sophie Novelli
    10. Remy Slama
    11. Philippe Raynaud
    12. Guillaume Bagein
    13. Vianney Costemalle
    14. Patrick Sillard
    15. Toscane Fourie
    16. Xavier de Lamballerie
    17. Nathalie Bajos
    18. Epicov Team

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Use of serology immunoassays for predicting SARS-CoV-2 infection: a serology-based diagnostic algorithm

    1. Alejandro Lazo-Langner
    2. Benjamin Chin-Yee
    3. Jaryd Tong
    4. Lori Lowes
    5. Benjamin D. Hedley
    6. Michael Silverman
    7. Johan Delport
    8. Vipin Bhayana
    9. Michael Knauer
    10. Ian Chin-Yee

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Clinical Performance Characteristics of the Swift Normalase Amplicon Panel for Sensitive Recovery of Severe Acute Respiratory Syndrome Coronavirus 2 Genomes

    1. Lasata Shrestha
    2. Michelle J. Lin
    3. Hong Xie
    4. Margaret G. Mills
    5. Shah A. Mohamed Bakhash
    6. Vinod P. Gaur
    7. Robert J. Livingston
    8. Jared Castor
    9. Emily A. Bruce
    10. Jason W. Botten
    11. Meei-Li Huang
    12. Keith R. Jerome
    13. Alexander L. Greninger
    14. Pavitra Roychoudhury

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. COVID-19 Prevention Facilitators and Barriers among Specific Ethnic Minority Communities in Rural Ohio

    1. Paran Pordell
    2. Hammad Ali
    3. Gisela Medina Martinez
    4. Brandi Taylor
    5. Karthik Kondapally
    6. Ellen Salehi
    7. Sietske de Fijter
    8. Nikki Hayes
    9. Spencer Lloyd

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. COVID-19 observations from hospitalized patients in the Northern Emirates

    1. Shahab Qureshi
    2. Drishti D. Kampani
    3. Tara Ali Hasan Al-Qutbi
    4. Aalya Mohamed
    5. Mubarak Alfaresi

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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