Post-vaccination, post-infection and hybrid immunity against severe cases of COVID-19 and long COVID after infection with SARS-CoV-2 Omicron subvariants, Czechia, December 2021 to August 2023
BackgroundCOVID-19 remains a major infectious disease with substantial implications for individual and public health including the risk of a post-infection syndrome, long COVID. The continuous changes in dominant variants of SARS-CoV-2 necessitate a careful study of the effect of preventative strategies.AimWe aimed to estimate the effectiveness of post-vaccination, post-infection and hybrid immunity against severe cases requiring oxygen support caused by infections with SARS-CoV-2 variants BA1/2 and BA4/5+, and against long COVID in the infected population and their changes over time.MethodsWe used a Cox regression analysis with time-varying covariates and calendar time and logistic regression applied to national-level data from Czechia from December 2021 until August 2023.ResultsRecently boosted vaccination, post-infection and hybrid immunity provide significant protection against a severe course of COVID-19, while unboosted vaccination more than 10 months ago has a negligible protective effect. The post-vaccination immunity against the BA1/2 or BA4/5+ variants, especially based on the original vaccine types, appears to wane rapidly compared with post-infection and hybrid immunity. Once infected, however, previous immunity plays only a small protective role against long COVID.ConclusionVaccination remains an effective preventative measure against a severe course of COVID-19 but its effectiveness wanes over time thus highlighting the importance of booster doses. Once infected, vaccines may have a small protective effect against the development of long COVID.
Authors
- Ján Trnka (ORCID: https://orcid.org/0000-0002-1786-7562)
- Martin Šmíd (ORCID: https://orcid.org/0000-0003-1140-3510)
- Tomáš Pavlík (ORCID: https://orcid.org/0000-0001-7166-032X)
- Tamara Barusová
- Jiří Jarkovský (ORCID: https://orcid.org/0000-0002-1400-0111)
- Lenka Přibylová (ORCID: https://orcid.org/0000-0002-9027-4333)
- Josefína Weinerová
- Milan Zajíček (ORCID: https://orcid.org/0000-0002-3226-7266)
- Ondřej Májek (ORCID: https://orcid.org/0000-0002-0034-3084)
Institutions
- University of Nottingham (GB)
- Charles University (CZ)
- Masaryk University (CZ)
- Zero to Three (US)
- Czech Academy of Sciences, Institute of Information Theory and Automation (CZ)
- Institute of Health Information and Statistics (CZ)
Publication Details
- Journal
- Eurosurveillance
- Published
- 2024-08-29
- DOI
- https://doi.org/10.2807/1560-7917.es.2024.29.35.2300690
- Citations
- 7
- Primary Topic
- Long-Term Effects of COVID-19
- Type
- article
- Field-Weighted Citation Impact
- 2.58
Funders
- Grantová Agentura České Republiky