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Herd immunity induced by COVID-19 vaccination programs to suppress epidemics caused by SARS-CoV-2 wild type and variants in China.

ABSTRACT: To allow a return to a pre-COVID-19 lifestyle, virtually every country has initiated a vaccination program to mitigate severe disease burden and control transmission; over 3.6 billion vaccine doses have been administered as of July 2021. However, it remains to be seen whether herd immunity will be within reach of these programs, especially as more transmissible SARS-CoV-2 variants continue to emerge. To address this question, we developed a data-driven model of SARS-CoV-2 transmission for Shanghai, China, a population with low prior immunity from natural infection. We found that extending the vaccination program to individuals aged 3-17 years plays a key role to reach herd immunity for the original SARS-CoV-2 lineages. With a vaccine efficacy 74% against infection, vaccine-induced herd immunity would require coverages of 93% or higher. Herd immunity for new variants, such as Alpha or Delta, can only be achieved with more efficacious vaccines and coverages above 80-90%. A continuation of the current pace of vaccination in China would reach 72% coverage by September 2021; although this program would fail to reach herd immunity it would reduce deaths by 95-100% in case of an outbreak. Efforts should be taken to increase population's confidence and willingness to be vaccinated and to guarantee highly efficacious vaccines against more transmissible variants of concern.

SUBMITTER: Liu H

PROVIDER: S-EPMC8328074 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:Protective antibody immunity against the influenza A virus wanes in 2-7 years due to antigenic drift of the virus' surface proteins. The duration of immune protection is highly variable because antigenic evolution of the virus is irregular. Currently, the variable nature of the duration of immunity has had little attention in analyses of the impact of vaccination, including cost-effectiveness studies.We developed a range of mathematical transmission models to investigate the effect of variable duration of immunity on the size of seasonal epidemics. The models range from simple conceptual to more realistic, by distinguishing between infection- versus vaccination-induced immunity, by inclusion of primary vaccine failure, by assuming a leaky vaccine, and by the inclusion of age-dependent contact patterns.We show that annual variation in the duration of immunity causes large variation in the size of epidemics, and affects the effectiveness of vaccination. Accumulation of susceptible individuals in one or more mild seasons results in a disproportionately large outbreak in a subsequent season. Importantly, variation in the duration of immunity increases the average infection attack rate when the vaccination coverage is around the outbreak threshold. Specifically, in a tailored age-stratified model with a realistic reproduction number (R 0 = 1.4) and vaccination coverage of 25%, we find that the attack rate in unvaccinated children (<10 years old) is negligible if the duration of immunity is constant, while on average 2.8% (2.5-97.5% percentiles: 1.8-4.1%) of the children are infected if the duration of immunity is variable. These findings stem from the buildup of susceptibility over multiple seasons by waning of immunity, and the nonlinear relation between susceptibility and infection attack rates.The models illustrate that variation in the duration of immunity impacts the long-term effectiveness of vaccination, and that vaccine effectiveness cannot be judged for each year in isolation. Our findings have implications for vaccination strategies that aim to maximize the vaccination coverage while extending the age range of persons eligible for vaccination.

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Herd immunity induced by COVID-19 vaccination programs to suppress epidemics caused by SARS-CoV-2 wild type and variants in China.

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