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. Demand for hospitalization services for COVID-19 patients in Brazil

    1. Marcia C. Castro
    2. Lucas Resende de Carvalho
    3. Taylor Chin
    4. Rebecca Kahn
    5. Giovanny V. A. França
    6. Eduardo Marques Macário
    7. Wanderson Kleber de Oliveira

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Global trends in air travel: implications for connectivity and resilience to infectious disease threats

    1. Ashleigh R Tuite
    2. Deepit Bhatia
    3. Rahim Moineddin
    4. Isaac I Bogoch
    5. Alexander G Watts
    6. Kamran Khan

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Guideline-Based Chinese Herbal Medicine Treatment Plus Standard Care for Severe Coronavirus Disease 2019 (G-CHAMPS): Evidence From China

    1. Yong-an Ye
    2. The G-CHAMPS Collaborative Group

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Detection of air and surface contamination by SARS-CoV-2 in hospital rooms of infected patients

    1. Po Ying Chia
    2. Kristen Kelli Coleman
    3. Yian Kim Tan
    4. Sean Wei Xiang Ong
    5. Marcus Gum
    6. Sok Kiang Lau
    7. Xiao Fang Lim
    8. Ai Sim Lim
    9. Stephanie Sutjipto
    10. Pei Hua Lee
    11. Than The Son
    12. Barnaby Edward Young
    13. Donald K. Milton
    14. Gregory C. Gray
    15. Stephan Schuster
    16. Timothy Barkham
    17. Partha Pratim De
    18. Shawn Vasoo
    19. Monica Chan
    20. Brenda Sze Peng Ang
    21. Boon Huan Tan
    22. Yee-Sin Leo
    23. Oon-Tek Ng
    24. Michelle Su Yen Wong
    25. Kalisvar Marimuthu
    26. for the Singapore 2019 Novel Coronavirus Outbreak Research Team
    27. David Chien Lye
    28. Poh Lian Lim
    29. Cheng Chuan Lee
    30. Li Min Ling
    31. Lawrence Lee
    32. Tau Hong Lee
    33. Chen Seong Wong
    34. Sapna Sadarangani
    35. Ray Junhao Lin
    36. Deborah Hee Ling Ng
    37. Mucheli Sadasiv
    38. Tsin Wen Yeo
    39. Chiaw Yee Choy
    40. Glorijoy Shi En Tan
    41. Frederico Dimatatac
    42. Isais Florante Santos
    43. Chi Jong Go
    44. Yu Kit Chan
    45. Jun Yang Tay
    46. Jackie Yu-Ling Tan
    47. Nihar Pandit
    48. Benjamin Choon Heng Ho
    49. Shehara Mendis
    50. Yuan Yi Constance Chen
    51. Mohammad Yazid Abdad
    52. Daniela Moses

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Risk factors for severe corona virus disease 2019 (COVID-19) patients : a systematic review and meta analysis

    1. Lizhen Xu
    2. Yaqian Mao
    3. Gang Chen

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Understanding COVID-19 spreading through simulation modeling and scenarios comparison: preliminary results

    1. Cesar Bordehore
    2. Zaida Herrador
    3. Eva S. Fonfría
    4. Miriam Navarro

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Scrutinizing the SARS-CoV-2 protein information for designing an effective vaccine encompassing both the T-cell and B-cell epitopes

    1. Neha Jain
    2. Uma Shankar
    3. Prativa Majee
    4. Amit Kumar

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Molecular Docking Analysis Of Some Phytochemicals On Two SARS-CoV-2 Targets: Potential Lead Compounds Against Two Target Sites of SARS-CoV-2 Obtained from Plants

    1. Amaka Ubani
    2. Francis Agwom
    3. Oluwatoyin RuthMorenikeji
    4. Shehu Nathan
    5. Pam Luka
    6. Arinze Umera
    7. Usal Umar
    8. Simeon Omale
    9. Nnaemeka Emmanuel Nnadi
    10. John Chineye Aguiyi

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Prioritization of SARS-CoV-2 epitopes using a pan-HLA and global population inference approach

    1. Katie M. Campbell
    2. Gabriela Steiner
    3. Daniel K. Wells
    4. Antoni Ribas
    5. Anusha Kalbasi

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Risk factors of SARS-CoV-2 infection in healthcare workers: a retrospective study of a nosocomial outbreak

    1. Xuan Wang
    2. Xiaobing Jiang
    3. Qimin Huang
    4. Han Wang
    5. David Gurarie
    6. Martial Ndeffo-Mbah
    7. Fei Fan
    8. Peng Fu
    9. Mary Ann Horn
    10. Anirban Mondal
    11. Charles King
    12. Shuai Xu
    13. Hongyang Zhao
    14. Yansen Bai

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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