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. Predictors of COVID-19-Confirmed Cases and Fatalities in 883 US Counties with a Population of 50,000 or More: Estimated Effect of Initial Prevention Policies

    1. Leon S. Robertson

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  2. Using Mobility Data to Understand and Forecast COVID19 Dynamics

    1. Lijing Wang
    2. Xue Ben
    3. Aniruddha Adiga
    4. Adam Sadilek
    5. Ashish Tendulkar
    6. Srinivasan Venkatramanan
    7. Anil Vullikanti
    8. Gaurav Aggarwal
    9. Alok Talekar
    10. Jiangzhuo Chen
    11. Bryan Leroy Lewis
    12. Samarth Swarup
    13. Amol Kapoor
    14. Milind Tambe
    15. Madhav Marathe

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Radius of Gyration as predictor of COVID-19 deaths trend with three-weeks offset

    1. Alberto Hernando
    2. David Mateo
    3. Jordi Bayer
    4. Ignacio Barrios

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Explainable machine learning models to understand determinants of COVID-19 mortality in the United States

    1. Piyush Mathur
    2. Tavpritesh Sethi
    3. Anya Mathur
    4. Kamal Maheshwari
    5. Jacek B Cywinski
    6. Ashish K Khanna
    7. Simran Dua
    8. Frank Papay

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. The impact of climate temperature on counts, recovery, and death rates due to SARS-CoV-2 in South Africa

    1. Naven Chetty
    2. Bamise Adeleye
    3. Abiola Olawale Ilori

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Do antibody positive healthcare workers have lower SARS-CoV-2 infection rates than antibody negative healthcare workers? Large multi-centre prospective cohort study (the SIREN study), England: June to November 2020

    1. V Hall
    2. S Foulkes
    3. A Charlett
    4. A Atti
    5. EJM Monk
    6. R Simmons
    7. E Wellington
    8. MJ Cole
    9. A Saei
    10. B Oguti
    11. K Munro
    12. S Wallace
    13. PD Kirwan
    14. M Shrotri
    15. A Vusirikala
    16. S Rokadiya
    17. M Kall
    18. M Zambon
    19. M Ramsay
    20. T Brooks
    21. SIREN Study Group
    22. CS Brown
    23. MA Chand
    24. S Hopkins

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  7. SARS-CoV-2 infection induces mixed M1/M2 phenotype in circulating monocytes and alterations in both dendritic cell and monocyte subsets

    1. Sanja Matic
    2. Suzana Popovic
    3. Predrag Djurdjevic
    4. Danijela Todorovic
    5. Natasa Djordjevic
    6. Zeljko Mijailovic
    7. Predrag Sazdanovic
    8. Dragan Milovanovic
    9. Dejana Ruzic Zecevic
    10. Marina Petrovic
    11. Maja Sazdanovic
    12. Nenad Zornic
    13. Vladimir Vukicevic
    14. Ivana Petrovic
    15. Snezana Matic
    16. Marina Karic Vukicevic
    17. Dejan Baskic

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Extracellular Vesicles Analysis in the COVID-19 Era: Insights on Serum Inactivation Protocols towards Downstream Isolation and Analysis

    1. Roberto Frigerio
    2. Angelo Musicò
    3. Marco Brucale
    4. Andrea Ridolfi
    5. Silvia Galbiati
    6. Riccardo Vago
    7. Greta Bergamaschi
    8. Anna Maria Ferretti
    9. Marcella Chiari
    10. Francesco Valle
    11. Alessandro Gori
    12. Marina Cretich

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Inference of SARS-CoV-2 spike-binding neutralizing antibody titers in sera from hospitalized COVID-19 patients by using commercial enzyme and chemiluminescent immunoassays

    1. Arantxa Valdivia
    2. Ignacio Torres
    3. Víctor Latorre
    4. Clara Francés-Gómez
    5. Eliseo Albert
    6. Roberto Gozalbo-Rovira
    7. María Jesús Alcaraz
    8. Javier Buesa
    9. Jesús Rodríguez-Díaz
    10. Ron Geller
    11. David Navarro

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Experimental re-infected cats do not transmit SARS-CoV-2

    1. Natasha N. Gaudreault
    2. Mariano Carossino
    3. Igor Morozov
    4. Jessie D. Trujillo
    5. David A. Meekins
    6. Daniel W. Madden
    7. Konner Cool
    8. Bianca Libanori Artiaga
    9. Chester McDowell
    10. Dashzeveg Bold
    11. Velmurugan Balaraman
    12. Taeyong Kwon
    13. Wenjun Ma
    14. Jamie Henningson
    15. Dennis W. Wilson
    16. William C. Wilson
    17. Udeni B. R. Balasuriya
    18. Adolfo García-Sastre
    19. Juergen A. Richt

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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