Epidemiology

The Spread of SARS-CoV-2 Variant Omicron with a Doubling Time of 2.0–3.3 Days Can Be Explained by Immune Evasion

1. Frederic Grabowski
2. Marek Kochańczyk
3. Tomasz Lipniacki

Reviewed by ScreenIT

Trajectory of long covid symptoms after covid-19 vaccination: community based cohort study

1. Daniel Ayoubkhani
2. Charlotte Bermingham
3. Koen B Pouwels
4. Myer Glickman
5. Vahé Nafilyan
6. Francesco Zaccardi
7. Kamlesh Khunti
8. Nisreen A Alwan
9. A Sarah Walker

Reviewed by ScreenIT

Population Optimally Immunized after Accounting for Type-Specific COVID-19 Vaccine Waning Intervals: State-Level Prevalence and Trends

1. Elizabeth B. Pathak
2. Jason L. Salemi

Reviewed by ScreenIT

Racial and ethnic disparities in coronavirus disease 2019 disease incidence independent of comorbidities, among people with HIV in the United States

1. Rachel A. Bender Ignacio
2. Adrienne E. Shapiro
3. Robin M. Nance
4. Bridget M. Whitney
5. Joseph A.C. Delaney
6. Laura Bamford
7. Darcy Wooten
8. Maile Y. Karris
9. William C. Mathews
10. Hyang Nina Kim
11. Jeanne Keruly
12. Greer Burkholder
13. Sonia Napravnik
14. Kenneth H. Mayer
15. Jeffrey Jacobson
16. Michael Saag
17. Richard D. Moore
18. Joseph J. Eron
19. Amanda L. Willig
20. Katerina A. Christopoulos
21. Jeffrey Martin
22. Peter W. Hunt
23. Heidi M. Crane
24. Mari M. Kitahata
25. Edward R. Cachay
26. for the Centers for AIDS Research Network of Integrated Clinical Systems (CNICS)†

Reviewed by ScreenIT

Selection for infectivity profiles in slow and fast epidemics, and the rise of SARS-CoV-2 variants

1. François Blanquart
2. Nathanaël Hozé
3. Benjamin John Cowling
4. Florence Débarre
5. Simon Cauchemez

• Curated by eLife

  Evaluation Summary:

  This manuscript will be of broad interest to readers interested in understanding characteristics of variants in ongoing epidemics that lead to faster (or slower) growth rates, and will be of particular interest to those wishing to understand the factors leading to selection of SARS-CoV-2 variants. The transmission advantage of a novel strain of a pathogen depends not only on its relative transmissibility, but also on its generation time relative to other strains; the relation between transmissibility, transmission advantage and generation time changes across different phases of the epidemic, enabling statistical inferences to be made about both the transmissibility advantage and generation time of an emerging variant. The method is supported by simulation studies and applied to the Alpha and Delta SARS-CoV-2 variants to show that selection was likely driven by changes in transmissibility rather than changes in the generation time.

  (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

Dynamic analysis and evaluation of asymptomatic infection in the spread of COVID-19

1. Chuanqing Xu
2. Zonghao Zhang
3. Xiaotong Huang
4. Jingan Cui

Reviewed by ScreenIT

Superspreading of SARS-CoV-2 infections: A Systematic Review and Meta-analysis

1. Zhanwei Du
2. Chunyu Wang
3. Caifen Liu
4. Yuan Bai
5. Sen Pei
6. Dillon C. Adam
7. Lin Wang
8. Peng Wu
9. Eric H. Y. Lau
10. Benjamin J. Cowling

Reviewed by ScreenIT

Access to healthcare as an important moderating variable for understanding geography of immunity levels for COVID-19 - preliminary insights from Poland

1. Andrzej Jarynowski
2. Vitaly Belik

Reviewed by ScreenIT

COVID-19 cluster size and transmission rates in schools from crowdsourced case reports

1. Paul Tupper
2. Shraddha Pai
3. COVID Schools Canada
4. Caroline Colijn

• Curated by eLife

  Evaluation Summary:

  This paper is the first to characterize overdispersion of COVID-19 spread in schools using crowdsourcing . It has the potential to serve as a useful platform for assessing preventative measures in schools but needs more clarity regarding the sensitivity of the approach to the completeness of input data, as evidence by different model conclusions when sparse data from the US is used as an input as opposed to the more detailed Canadian data.

  (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 agreed to share their name with the authors.)

Reviewed by eLife, ScreenIT

Surveillance of COVID-19 vaccine effectiveness: a real-time case–control study in southern Sweden

1. Jonas Björk
2. Carl Bonander
3. Mahnaz Moghaddassi
4. Magnus Rasmussen
5. Ulf Malmqvist
6. Fredrik Kahn
7. Malin Inghammar

Reviewed by ScreenIT