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. Risk Factors for Infection and Health Impacts of the Coronavirus Disease 2019 (COVID-19) Pandemic in People With Autoimmune Diseases

    1. Kathryn C Fitzgerald
    2. Christopher A Mecoli
    3. Morgan Douglas
    4. Samantha Harris
    5. Berna Aravidis
    6. Jemima Albayda
    7. Elias S Sotirchos
    8. Ahmet Hoke
    9. Ana-Maria Orbai
    10. Michelle Petri
    11. Lisa Christopher-Stine
    12. Alan N Baer
    13. Julie J Paik
    14. Brittany L Adler
    15. Eleni Tiniakou
    16. Homa Timlin
    17. Pavan Bhargava
    18. Scott D Newsome
    19. Arun Venkatesan
    20. Vinay Chaudhry
    21. Thomas E Lloyd
    22. Carlos A Pardo
    23. Barney J Stern
    24. Mark Lazarev
    25. Brindusa Truta
    26. Shiv Saidha
    27. Edward S Chen
    28. Michelle Sharp
    29. Nisha Gilotra
    30. Edward K Kasper
    31. Allan C Gelber
    32. Clifton O Bingham
    33. Ami A Shah
    34. Ellen M Mowry

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Analysis of Collective Response Reveals that COVID-19-Related Activities Start from the End of 2019 in Mainland China

    1. Ji Liu
    2. Haoyi Xiong
    3. Jizhou Huang
    4. Jingbo Zhou
    5. Haiyan Jiang
    6. Tongtong Huang
    7. Haifeng Wang
    8. Dejing Dou

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Pitfalls and solutions in case fatality risk estimation – A multi-country analysis on the role of demographics, surveillance, time lags between reporting and death and healthcare system capacity on COVID-19

    1. Patrizio Vanella
    2. Christian Wiessner
    3. Anja Holz
    4. Gérard Krause
    5. Annika Möhl
    6. Sarah Wiegel
    7. Berit Lange
    8. Heiko Becher

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Novel Coronavirus 2019 (Covid-19) epidemic scale estimation: topological network-based infection dynamics model

    1. Keke Tang
    2. Yining Huang
    3. Meilian Chen

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Feasibility of collecting and processing of COVID-19 convalescent plasma for treatment of COVID-19 in Uganda

    1. Winters Muttamba
    2. John Lusiba
    3. Loryndah Olive Namakula
    4. Pauline Byakika-Kibwika
    5. Francis Ssali
    6. Henry Ddungu
    7. Levicatus Mugenyi
    8. Noah Kiwanuka
    9. Rogers Sekibira
    10. Cissy Kityo
    11. Dorothy Keyune
    12. Susan Acana
    13. Ambrose Musinguzi
    14. Ayub Masasi
    15. Joseph Byamugisha
    16. David Mpanju
    17. Walter Jack Musoki
    18. Hellen Aanyu Tukamuhebwa
    19. Fred Nakwagala
    20. Bernard Sentalo Bagaya
    21. Alex Kayongo
    22. Ivan Kimuli
    23. Rebecca Nantanda
    24. Winceslaus Katagira
    25. Esther Buregyeya
    26. Rosemary Byanyima
    27. Baterana Byarugaba
    28. Trishul Siddharthan
    29. Henry Mwebesa
    30. Olaro Charles
    31. Moses Lutaakome Joloba
    32. William Bazeyo
    33. Bruce Kirenga

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Changes in cardiovascular disease monitoring in English primary care during the COVID-19 pandemic: an observational cohort study

    1. Clare R Bankhead
    2. Sarah Lay-Flurrie
    3. Brian D Nicholson
    4. James P Sheppard
    5. Chris P Gale
    6. Harshana Liyanage
    7. Dylan McGagh
    8. Mark Minchin
    9. Rafael Perera
    10. Julian Sherlock
    11. Margaret Smith
    12. Nicholas PB Thomas
    13. Cynthia Wright Drakesmith
    14. Simon de Lusignan
    15. FD Richard Hobbs

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. A modified SEIR model to predict the COVID-19 outbreak in Spain and Italy: Simulating control scenarios and multi-scale epidemics

    1. Leonardo López
    2. Xavier Rodó

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. “This is really like waiting for war and this is not good” – Intertwining between pandemic experiences, and the development of professional action of healthcare professionals in critical care at the beginning of the COVID-19 pandemic in Germany: a qualitative study

    1. Madlen Hörold
    2. Karl Philipp Drewitz
    3. Vreni Brunnthaler
    4. Julia Piel
    5. Magdalena Rohr
    6. Ilona Hrudey
    7. Claudia Hasenpusch
    8. Angela Ulrich
    9. Niklas Otto
    10. Susanne Brandstetter
    11. Christian Apfelbacher

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Experiences of receiving and providing maternity care during the COVID-19 pandemic in Australia: A five-cohort cross-sectional comparison

    1. Zoe Bradfield
    2. Karen Wynter
    3. Yvonne Hauck
    4. Vidanka Vasilevski
    5. Lesley Kuliukas
    6. Alyce N. Wilson
    7. Rebecca A. Szabo
    8. Caroline S. E. Homer
    9. Linda Sweet

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Inactivation of SARS-CoV-2 virus in saliva using a guanidium based transport medium suitable for RT-PCR diagnostic assays

    1. Sukalyani Banik
    2. Kaheerman Saibire
    3. Shraddha Suryavanshi
    4. Glenn Johns
    5. Soumitesh Chakravorty
    6. Robert Kwiatkowski
    7. David Alland
    8. Padmapriya P. Banada

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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