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. Understanding community level influences on the prevalence of SARS-CoV-2 infection in England

    1. Chaitanya Joshi
    2. Arif Ali
    3. Thomas ÓConnor
    4. Li Chen
    5. Kaveh Jahanshahi

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Structural and biochemical mechanism for increased infectivity and immune evasion of Omicron BA.1 and BA.2 variants and their mouse origins

    1. Youwei Xu
    2. Canrong Wu
    3. Xiaodan Cao
    4. Chunyin Gu
    5. Heng Liu
    6. Mengting Jiang
    7. Xiaoxi Wang
    8. Qingning Yuan
    9. Kai Wu
    10. Jia Liu
    11. Deyi Wang
    12. Xianqing He
    13. Xueping Wang
    14. Su-Jun Deng
    15. H. Eric Xu
    16. Wanchao Yin

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Effectiveness of Coronavirus Disease 2019 Vaccines Against Hospitalization and Death in Canada: A Multiprovincial, Test-Negative Design Study

    1. Sharifa Nasreen
    2. Yossi Febriani
    3. Héctor Alexander Velásquez García
    4. Geng Zhang
    5. Mina Tadrous
    6. Sarah A Buchan
    7. Christiaan H Righolt
    8. Salaheddin M Mahmud
    9. Naveed Zafar Janjua
    10. Mel Krajden
    11. Gaston De Serres
    12. Jeffrey C Kwong

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Nowcasting and forecasting COVID-19 waves: the recursive and stochastic nature of transmission

    1. V. V. L. Albani
    2. R. A. S. Albani
    3. E. Massad
    4. J. P. Zubelli

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Health behaviours the month prior to COVID-19 infection and the development of self-reported long COVID and specific long COVID symptoms: a longitudinal analysis of 1581 UK adults

    1. Elise Paul
    2. Daisy Fancourt

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  6. Increasing contributions of airborne route in SARS-CoV-2 omicron variant transmission compared with the ancestral strain

    1. Shuyi Ji
    2. Shenglan Xiao
    3. Huaibin Wang
    4. Hao Lei

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Vaccination plus previous infection: protection during the omicron wave in Brazil

    1. Thiago Cerqueira-Silva
    2. Vinicius de Araujo Oliveira
    3. Enny S Paixão
    4. Pilar Tavares Veras Florentino
    5. Gerson O Penna
    6. Neil Pearce
    7. Guilherme L Werneck
    8. Maurício L Barreto
    9. Viviane S Boaventura
    10. Manoel Barral-Netto

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Association of Receiving a Fourth Dose of the BNT162b Vaccine With SARS-CoV-2 Infection Among Health Care Workers in Israel

    1. Matan J. Cohen
    2. Yonatan Oster
    3. Allon E. Moses
    4. Avishay Spitzer
    5. Shmuel Benenson
    6. Israeli-Hospitals 4th Vaccine Working Group
    7. Asala Abu-Ahmad
    8. Yoel Angel
    9. Ronen Ben-Ami
    10. Debby Ben-David
    11. Inon Buda
    12. Michal Chowers
    13. Ayelet Elbirt
    14. Khetam Hussein
    15. Chezi Levi
    16. Yasmin Maor
    17. Ran Nir-Paz
    18. Alona Paz
    19. Esther Saiag
    20. Shlomo Maayan
    21. Yael Shachor-Meyouhas
    22. Pnina Shitrit
    23. Miriam Weinberger
    24. Yonit Wiener-Well
    25. Adi Zaidman Shimshovitz
    26. Eli Sprecher
    27. Hiba Zayyad
    28. Oren Zimhony

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. An improved method for determining frequency of multiple variants of SARS-CoV-2 in wastewater using qPCR assays

    1. Meghan Fuzzen
    2. Nathanael B.J. Harper
    3. Hadi A. Dhiyebi
    4. Nivetha Srikanthan
    5. Samina Hayat
    6. Leslie M. Bragg
    7. Shelley W. Peterson
    8. Ivy Yang
    9. J.X. Sun
    10. Elizabeth A. Edwards
    11. John P. Giesy
    12. Chand S. Mangat
    13. Tyson E. Graber
    14. Robert Delatolla
    15. Mark R. Servos

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Health economic burden of COVID-19 in Saudi Arabia

    1. Khalidah A. Alenzi
    2. Hamdan S. Al-malky
    3. Ali F. Altebainawi
    4. Hamidah Q. Abushomi
    5. Fahad O. Alatawi
    6. Moosa H. Atwadi
    7. Moosa A. Khobrani
    8. Dlal A. Almazrou
    9. Nariman Alrubeh
    10. Zainab A. Alsoliabi
    11. Abdulaziz M. Kardam
    12. Shakr A. Alghamdi
    13. Abdulrahman Alasiri
    14. Maher H. Albalwi
    15. Thamir M. Alshammari

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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