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Natural and hybrid immunity following four COVID-19 waves in a South African cohort (preprint)
medrxiv; 2022.
Preprint
in English
| medRxiv | ID: ppzbmed-10.1101.2022.06.20.22276647
ABSTRACT
Background:
More than half the global population has been exposed to SARS-CoV-2. Naturally induced immunity influences the outcome of subsequent exposure to variants and vaccine responses. We measured anti-spike IgG responses to explore the basis for this enhanced immunity.Methods:
A prospective cohort study in a South African community through the ancestral/beta/delta/omicron SARS-CoV-2 waves. Health seeking behaviour/illness were recorded and post-wave serum samples probed for IgG to Spike (CoV2-S-IgG). To estimate protective CoV2-S-IgG threshold levels, logistic functions were fit to describe the correlation of CoV2-S-IgG measured before a wave and the probability for seroconversion/boosting thereafter for unvaccinated and vaccinated adults.Findings:
Despite little disease, 176/339 (51.9%) participants were seropositive following wave 1, rising to 74%, 89.8% and 97.3% after waves 2, 3 and 4 respectively. CoV2-S-IgG induced by natural exposure protected against subsequent SARS-CoV-2 infection with the greatest protection for beta and the least for omicron. Vaccination induced higher CoV2-SIgG in seropositive compared to naive vaccinees. Amongst seropositive participants, proportions above the 50% protection against infection threshold were 69% (95% CrI 62, 72) following 1 vaccine dose, 63% (95% CrI 63, 75) following 2 doses and only 11% (95% CrI7, 14) in unvaccinated during the omicron wave.Interpretation:
Naturally induced CoV2-S-IgG do not achieve high enough levels to prevent omicron infection in most exposed individuals but are substantially boosted by vaccination leading to significant protection. A single vaccination in those with prior immunity is more immunogenic than 2 doses in a naive vaccinee and thus may provide adequate protection.
Full text:
Available
Collection:
Preprints
Database:
medRxiv
Main subject:
COVID-19
Language:
English
Year:
2022
Document Type:
Preprint
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