Epidemiology

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

Clinical outcomes associated with SARS-CoV-2 Omicron (B.1.1.529) variant and BA.1/BA.1.1 or BA.2 subvariant infection in Southern California

1. Joseph A. Lewnard
2. Vennis X. Hong
3. Manish M. Patel
4. Rebecca Kahn
5. Marc Lipsitch
6. Sara Y. Tartof

Reviewed by ScreenIT

Two viruses competition in the SIR model of epidemic spread: application to COVID-19

1. A.M. Ignatov
2. S.A. Trigger

Reviewed by ScreenIT

Epidemiology of SARS-CoV-2 Infection in Italy Using Real-World Data: Methodology and Cohort Description of the Second Phase of Web-Based EPICOVID19 Study

1. Fulvio Adorni
2. Nithiya Jesuthasan
3. Elena Perdixi
4. Aleksandra Sojic
5. Andrea Giacomelli
6. Marianna Noale
7. Caterina Trevisan
8. Michela Franchini
9. Stefania Pieroni
10. Liliana Cori
11. Claudio Maria Mastroianni
12. Fabrizio Bianchi
13. Raffaele Antonelli-Incalzi
14. Stefania Maggi
15. Massimo Galli
16. Federica Prinelli
17. on behalf of the EPICOVID19 Working Group

Reviewed by ScreenIT

Protective effect of a first SARS-CoV-2 infection from reinfection: a matched retrospective cohort study using PCR testing data in England

1. Joanne Lacy
2. Anna Mensah
3. Ruth Simmons
4. Nick Andrews
5. M. Ruby Siddiqui
6. Antoaneta Bukasa
7. Shennae O’Boyle
8. Helen Campbell
9. Kevin Brown

Reviewed by ScreenIT