Epidemiology

Characterizing features of outbreak duration for novel SARS-CoV-2 variants of concern

1. Alex D. Washburne
2. Nathaniel Hupert
3. Nicole Kogan
4. William Hanage
5. Mauricio Santillana

Reviewed by ScreenIT

The statistical analysis of daily data associated with different parameters of the New Coronavirus COVID-19 pandemic in Georgia and their monthly interval prediction from September 1, 2021 to December 31, 2021

1. Avtandil G. Amiranashvili
2. Ketevan R. Khazaradze
3. Nino D. Japaridze

Reviewed by ScreenIT

Viral variant-resolved wastewater surveillance of SARS-CoV-2 at national scale

1. Fabian Amman
2. Rudolf Markt
3. Lukas Endler
4. Sebastian Hupfauf
5. Benedikt Agerer
6. Anna Schedl
7. Lukas Richter
8. Melanie Zechmeister
9. Martin Bicher
10. Georg Heiler
11. Petr Triska
12. Matthew Thornton
13. Thomas Penz
14. Martin Senekowitsch
15. Jan Laine
16. Zsofia Keszei
17. Peter Klimek
18. Fabiana Nägele
19. Markus Mayr
20. Beatrice Daleiden
21. Martin Steinlechner
22. Harald Niederstätter
23. Petra Heidinger
24. Wolfgang Rauch
25. Christoph Scheffknecht
26. Gunther Vogl
27. Günther Weichlinger
28. Andreas Otto Wagner
29. Katarzyna Slipko
30. Amandine Masseron
31. Elena Radu
32. Franz Allerberger
33. Niki Popper
34. Christoph Bock
35. Daniela Schmid
36. Herbert Oberacher
37. Norbert Kreuzinger
38. Heribert Insam
39. Andreas Bergthaler

Reviewed by ScreenIT

Estimation of age-stratified contact rates during the COVID-19 pandemic using a novel inference algorithm

1. Christopher M. Pooley
2. Andrea B. Doeschl-Wilson
3. Glenn Marion

Reviewed by ScreenIT

Quantifying the impact of immune history and variant on SARS-CoV-2 viral kinetics and infection rebound: A retrospective cohort study

1. James A Hay
2. Stephen M Kissler
3. Joseph R Fauver
4. Christina Mack
5. Caroline G Tai
6. Radhika M Samant
7. Sarah Connolly
8. Deverick J Anderson
9. Gaurav Khullar
10. Matthew MacKay
11. Miral Patel
12. Shannan Kelly
13. April Manhertz
14. Isaac Eiter
15. Daisy Salgado
16. Tim Baker
17. Ben Howard
18. Joel T Dudley
19. Christopher E Mason
20. Manoj Nair
21. Yaoxing Huang
22. John DiFiori
23. David D Ho
24. Nathan D Grubaugh
25. Yonatan H Grad

• Curated by eLife

  eLife assessment

  This manuscript provides a valuable and policy-relevant contribution to our understanding of SARS-CoV-2 viral kinetics in the Omicron era. The authors exploit a rich and unique dataset from the National Basketball Association to describe post-infection viral kinetics and explore evidence for differential kinetics by immune history and demographics. The authors show (as others have) that most people remain with high viral loads 5 days post positive test (though less so in groups who are tested in a more realistic manner), and that older individuals and those who were boosted (but had a poor initial response to the primary vaccine series) were more likely to remain with high viral loads longer after an Omicron infection, while also describing rebound frequencies after Omicron infections.

Reviewed by eLife, ScreenIT

Seasonal Prediction of Omicron Pandemic

1. Jianping Huang
2. Yingjie Zhao
3. Li Zhang
4. Xu Li
5. Shuoyuan Gao
6. Xiaodong Song

Reviewed by ScreenIT

Summaries, Analysis and Simulations of COVID-19 Epidemics in Shanghai

1. Lequan Min

Reviewed by ScreenIT

Racial/Ethnic Disparities in Exposure, Disease Susceptibility, and Clinical Outcomes during COVID-19 Pandemic in National Cohort of Adults, United States

1. McKaylee M. Robertson
2. Meghana G. Shamsunder
3. Ellen Brazier
4. Mekhala Mantravadi
5. Rebecca Zimba
6. Madhura S. Rane
7. Drew A. Westmoreland
8. Angela M. Parcesepe
9. Andrew R. Maroko
10. Sarah G. Kulkarni
11. Christian Grov
12. Denis Nash

Reviewed by ScreenIT

Change in profile of COVID-19 deaths in the Western Cape during the fourth wave

1. Masudah Paleker
2. Mary-Ann Davies
3. Peter Raubenheimer
4. Jonathan Naude
5. Andrew Boulle
6. Hannah Hussey

Reviewed by ScreenIT

Covid-19 disease dynamics with vaccination: The effect of uncertainty

1. Abhijit Majumder
2. Nandadulal Bairagi

Reviewed by ScreenIT