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. Blood group type A secretors are associated with a higher risk of COVID‐19 cardiovascular disease complications

    1. Tosti J. Mankelow
    2. Belinda K. Singleton
    3. Pedro L. Moura
    4. Christian J. Stevens‐Hernandez
    5. Nicola M. Cogan
    6. Gyongyver Gyorffy
    7. Sabine Kupzig
    8. Luned Nichols
    9. Claire Asby
    10. Jennifer Pooley
    11. Gabriella Ruffino
    12. Faroakh Hosseini
    13. Fiona Moghaddas
    14. Marie Attwood
    15. Alan Noel
    16. Alex Cooper
    17. David T. Arnold
    18. Fergus Hamilton
    19. Catherine Hyams
    20. Adam Finn
    21. Ashley M. Toye
    22. David J. Anstee

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Complement C3 vs C5 inhibition in severe COVID-19: Early clinical findings reveal differential biological efficacy

    1. Dimitrios C. Mastellos
    2. Bruno G.P. Pires da Silva
    3. Benedito A.L. Fonseca
    4. Natasha P. Fonseca
    5. Maria Auxiliadora-Martins
    6. Sara Mastaglio
    7. Annalisa Ruggeri
    8. Marina Sironi
    9. Peter Radermacher
    10. Akrivi Chrysanthopoulou
    11. Panagiotis Skendros
    12. Konstantinos Ritis
    13. Ilenia Manfra
    14. Simona Iacobelli
    15. Markus Huber-Lang
    16. Bo Nilsson
    17. Despina Yancopoulou
    18. E. Sander Connolly
    19. Cecilia Garlanda
    20. Fabio Ciceri
    21. Antonio M. Risitano
    22. Rodrigo T. Calado
    23. John D. Lambris

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Impacts of teaching modality on U.S. COVID-19 spread in fall 2020 semester

    1. Syed Badruddoza
    2. Modhurima Dey Amin

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. COVID-19 pandemics modeling with modified determinist SEIR, social distancing, and age stratification. The effect of vertical confinement and release in Brazil

    1. Wladimir Lyra
    2. José-Dias do Nascimento
    3. Jaber Belkhiria
    4. Leandro de Almeida
    5. Pedro Paulo M. Chrispim
    6. Ion de Andrade

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  5. The Impact of Strict Public Health Measures on COVID-19 Transmission in Developing Countries: The Case of Kuwait

    1. Abdullah A. Al-Shammari
    2. Hamad Ali
    3. Barrak Alahmad
    4. Faisal H. Al-Refaei
    5. Salman Al-Sabah
    6. Mohammad H. Jamal
    7. Abdullah Alshukry
    8. Qais Al-Duwairi
    9. Fahd Al-Mulla

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. COVID-19 wastewater epidemiology: a model to estimate infected populations

    1. Christopher S McMahan
    2. Stella Self
    3. Lior Rennert
    4. Corey Kalbaugh
    5. David Kriebel
    6. Duane Graves
    7. Cameron Colby
    8. Jessica A Deaver
    9. Sudeep C Popat
    10. Tanju Karanfil
    11. David L Freedman

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Characteristics of 24,516 Patients Diagnosed with COVID-19 Illness in a National Clinical Research Network: Results from PCORnet ®

    1. Jason P. Block
    2. Keith A. Marsolo
    3. Kshema Nagavedu
    4. L. Charles Bailey
    5. Henry Cruz
    6. Christopher B. Forrest
    7. Kevin Haynes
    8. Adrian F. Hernandez
    9. Rainu Kaushal
    10. Abel Kho
    11. Kathleen M. McTigue
    12. Vinit P. Nair
    13. Richard Platt
    14. Jon Puro
    15. Russell L. Rothman
    16. Elizabeth Shenkman
    17. Lemuel Russell Waitman
    18. Mark G. Weiner
    19. Neely Williams
    20. Thomas W. Carton
    21. Network Partners

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Optimal size of sample pooling for RNA pool testing: an avant-garde for scaling up SARS CoV 2 testing

    1. Khodare Arvind
    2. Padhi Abhishek
    3. Gupta Ekta
    4. Agarwal Reshu
    5. Dubey Shantanu
    6. SK Sarin

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Caspases and therapeutic potential of caspase inhibitors in moderate–severe SARS‐CoV‐2 infection and long COVID

    1. Matthew Plassmeyer
    2. Oral Alpan
    3. Michael J. Corley
    4. Thomas A. Premeaux
    5. Kimberleigh Lillard
    6. Paige Coatney
    7. Tina Vaziri
    8. Suzan Michalsky
    9. Alina P. S. Pang
    10. Zaheer Bukhari
    11. Stephen T. Yeung
    12. Teresa H. Evering
    13. Gail Naughton
    14. Martin Latterich
    15. Philip Mudd
    16. Alfred Spada
    17. Nicole Rindone
    18. Denise Loizou
    19. Søren Ulrik Sønder
    20. Lishomwa C. Ndhlovu
    21. Raavi Gupta

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Association between environmental pollution and prevalence of coronavirus disease 2019 (COVID-19) in Italy

    1. Giuseppe Lippi
    2. Fabian Sanchis-Gomar
    3. Brandon M. Henry

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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