Codes from Medium-term scenarios of COVID-19 as a function of immune uncertainties and chronic disease
收藏DataCite Commons2023-08-17 更新2024-08-18 收录
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https://rs.figshare.com/articles/dataset/Codes_from_Medium-term_scenarios_of_COVID-19_as_a_function_of_immune_uncertainties_and_chronic_disease/23974396
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资源简介:
As the SARS-CoV-2 trajectory continues, the longer-term immuno-epidemiology of COVID-19, the dynamics of Long COVID, and the impact of escape variants are important outstanding questions. We examine these remaining uncertainties with a simple modelling framework that accounts for multiple (antigenic) exposures via infection or vaccination. If immunity (to infection or Long COVID) accumulates rapidly with the valency of exposure, we find that infection levels and the burden of Long COVID are markedly reduced in the medium term. More pessimistic assumptions on host adaptive immune responses illustrate that the longer-term burden of COVID-19 may be elevated for years to come. However, we also find that these outcomes could be mitigated by the eventual introduction of a vaccine eliciting robust (i.e. durable, transmission-blocking and/or ‘evolution-proof’) immunity. Overall, our work stresses the wide range of future scenarios that still remain, the importance of collecting real-world epidemiological data to identify likely outcomes, and the crucial need for the development of a highly effective transmission-blocking, durable, and broadly-protective vaccine.
提供机构:
The Royal Society
创建时间:
2023-08-17



