ScreenIT

Latest preprint reviews

1. Partial unlock model for COVID-19 or similar pandemic averts medical and economic disaster

   This article has 1 author:

   1. Robert L. Shuler

   Reviewed by ScreenIT

2. Vaccine optimization for COVID-19: Who to vaccinate first?

   This article has 4 authors:

   1. Laura Matrajt
   2. Julia Eaton
   3. Tiffany Leung
   4. Elizabeth R. Brown

   Reviewed by ScreenIT

3. Rapid Detection of SARS-CoV-2 Antigen from Serum in a Hospitalized Population

   This article has 3 authors:

   1. K McAulay
   2. EJ Kaleta
   3. TE Grys

   Reviewed by ScreenIT

4. Innate lymphoid cells and COVID-19 severity in SARS-CoV-2 infection

   This article has 18 authors:

   1. Noah J Silverstein
   2. Yetao Wang
   3. Zachary Manickas-Hill
   4. Claudia Carbone
   5. Ann Dauphin
   6. Brittany P Boribong
   7. Maggie Loiselle
   8. Jameson Davis
   9. Maureen M Leonard
   10. Leticia Kuri-Cervantes
   11. MGH COVID-19 Collection & Processing Team
   12. Nuala J Meyer
   13. Michael R Betts
   14. Jonathan Z Li
   15. Bruce D Walker
   16. Xu G Yu
   17. Lael M Yonker
   18. Jeremy Luban

   This article has been curated by 1 group:

   • Curated by eLife

     Evaluation Summary:

     The authors present an interesting approach of COVID-19 pathogenesis with emphasis on the role of innate lymphoid cells as a major correlate of the severity of COVID-19 and of the levels of inflammatory markers. The main strength of the manuscript is the novelty of approach, and the fact that the authors are the first to find this potentially interesting correlation, which brings up a number of both translational and mechanistic possibilities of significance. The limitation, of course, is the difficulty in showing a cause-and-effect relationship between the reduction in of innate lymphoid cells and the severity of COVID-19 inflammation.

     (This preprint has been reviewed by eLife. We include the public reviews from the reviewers here; the authors also receive private feedback with suggested changes to the manuscript. Reviewer #1 and Reviewer #2 agreed to share their names with the authors.)

   Reviewed by eLife, ScreenIT

5. Predicting the Trajectory of Any COVID19 Epidemic From the Best Straight Line

   This article has 3 authors:

   1. Michael Levitt
   2. Andrea Scaiewicz
   3. Francesco Zonta

   Reviewed by ScreenIT

6. Risk Factors of COVID-19 Patients

   This article has 2 authors:

   1. Ouail Ouchetto
   2. Asmaa Drissi Bourhanbour

   Reviewed by ScreenIT

7. Model-based cellular kinetic analysis of SARS-CoV-2 infection: different immune response modes and treatment strategies

   This article has 13 authors:

   1. Zhengqing Zhou
   2. Ziheng Zhao
   3. Shuyu Shi
   4. Jianghua Wu
   5. Dianjie Li
   6. Jianwei Li
   7. Jingpeng Zhang
   8. Ke Gui
   9. Yu Zhang
   10. Heng Mei
   11. Yu Hu
   12. Qi Ouyang
   13. Fangting Li

   Reviewed by ScreenIT

8. Ct threshold values, a proxy for viral load in community SARS-CoV-2 cases, demonstrate wide variation across populations and over time

   This article has 19 authors:

   1. A Sarah Walker
   2. Emma Pritchard
   3. Thomas House
   4. Julie V Robotham
   5. Paul J Birrell
   6. Iain Bell
   7. John I Bell
   8. John N Newton
   9. Jeremy Farrar
   10. Ian Diamond
   11. Ruth Studley
   12. Jodie Hay
   13. Karina-Doris Vihta
   14. Timothy EA Peto
   15. Nicole Stoesser
   16. Philippa C Matthews
   17. David W Eyre
   18. Koen B Pouwels
   19. COVID-19 Infection Survey team

   This article has been curated by 1 group:

   • Curated by eLife

     Evaluation Summary:

     The authors present a systematic and complete study of Ct (cycle threshold) values in RT-PCR tests and gene-specific positivity for the UK ONS infection survey. There are very few datasets like this for any viral pathogen, regardless of pandemics. The patterns are fascinating and thought-provoking.

     (This preprint has been reviewed by eLife. We include the public reviews from the reviewers here; the authors also receive private feedback with suggested changes to the manuscript. The reviewers remained anonymous to the authors.)

   Reviewed by eLife, ScreenIT

9. Modeling COVID-19 for Lifting Non-Pharmaceutical Interventions

   This article has 4 authors:

   1. Matthew Koehler
   2. David M Slater
   3. Garry Jacyna
   4. James R Thompson

   Reviewed by ScreenIT

10. Simulation model for productivity, risk and GDP impact forecasting of the COVID-19 portfolio vaccines

    This article has 1 author:

    1. Vladimir Shnaydman

    Reviewed by ScreenIT