| Literature DB >> 35307410 |
Chloé Dimeglio1, Jean-Michel Loubes2, Marion Migueres3, Karine Sauné3, Pauline Trémeaux3, Sébastien Lhomme3, Noémie Ranger4, Justine Latour4, Jean-Michel Mansuy4, Jacques Izopet3.
Abstract
Entities:
Keywords: Omicron; Public health; SARS-CoV-2; Statistical model
Mesh:
Year: 2022 PMID: 35307410 PMCID: PMC8926943 DOI: 10.1016/j.jinf.2022.03.014
Source DB: PubMed Journal: J Infect ISSN: 0163-4453 Impact factor: 38.637
Model initial parameters.
| Weeks 2021 | Weeks 2022 | ||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 98.5 | 91.8 | 87.5 | 100 | 100 | 100 | 100 | 100 | 98.6 | 100 | 86.9 | 97.4 | 99.5 | 99.4 | 90.1 | 45.1 | 17.9 | 2.3 | 1.2 | 0.2 | 0.2 | 0.1 | 0 | 0 | ||
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.2 | 0.6 | 9.9 | 54.7 | 82.1 | 97.4 | 97 | 97.9 | 94.3 | 87.7 | 77.3 | 60.1 | ||
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.3 | 1.8 | 1.9 | 5.5 | 12.3 | 22.7 | 39.9 | ||
| 1.5 | 8.2 | 12.5 | 0 | 0 | 0 | 0 | 0 | 1.4 | 0 | 13.1 | 2.6 | 0.2 | 0 | 0 | 0.2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||
| 1535 | 1361 | 1107 | 947 | 877 | 1025 | 1250 | 1556 | 1573 | 1709 | 1584 | 2565 | 3526 | 4292 | 4778 | 5506 | 6664 | 8998 | 7622 | 6049 | 3794 | 2368 | 1619 | 1921 | ||
| 5.9% | 4.8% | 4.1% | 4.8% | 2.0% | 2.9% | 3.4% | 3.4% | 5.3% | 5.1% | 7.1% | 14.5% | 16.7% | 16.5% | 14.3% | 21.8% | 33.1% | 38.4% | 42.1% | 47.5% | 41.6% | 32.1% | 27.7% | 19.6% | ||
Fig. 1.Daily dynamics of SARS-CoV-2 infection, July 21, 2020 to February 21, 2022.
A. Assuming that the Omicron BA.1 sub-variant is as sensitive as Delta to vaccination/previous immunity.
B. Assuming that the Omicron BA.2 sub-variant is as sensitive as BA.1 to vaccination/previous immunity.
C. Real daily dynamics of SARS-CoV-2 infection, July 21, 2020 to February 21, 2022.